{"question":"Please help me find research papers on algorithmic design for agent context management that must involve tool calling, and exclude any approaches that introduce or rely on Vision-Language Models (VLM).","answer":["AgentFold: Long-Horizon Web Agents with Proactive Context Management","Scaling Long-Horizon LLM Agent via Context-Folding","Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management","BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair","A2FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Find research papers about training an LLM agent and involving websailor as a baseline","answer":["BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair","ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization","WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents","AGENTFOLD: Long-Horizon Web Agents with Proactive Context Folding","WEBSAILOR‑V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning","Scaling Agents via Continual Pre-training","DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL","Repurposing Synthetic Data for Fine-grained Search Agent Supervision","WebLeaper: Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking","AgentFrontier: Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Electronics and Information"}}
{"question":"I am researching humanoid whole-body manipulation (combining locomotion and dexterous hand control). Currently, I have only found some papers related to whole-body control, but I know nothing about dexterous hand manipulation or the combination of the two. I hope you can find me some papers to help me understand. My current robot is a G1 equipped with an Inspire dexterous hand. The hand must perform specific manipulation tasks; simply grasping or clamping with the wrist or palm is not sufficient.","answer":["Humanoids in Hospitals: A Technical Study of Humanoid Robot Surrogates for Dexterous Medical Interventions","TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric Learning","HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit","Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation","Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids","Humanoid Policy ~ Human Policy","TACT: Humanoid Whole-body Contact Manipulation through Deep Imitation Learning with Tactile Modality","Generalizable Humanoid Manipulation with 3D Diffusion Policies","ULC: A Unified and Fine-Grained Controller for Humanoid Loco-Manipulation","Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning","DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation","DEXPLORE: Scalable Neural Control for Dexterous Manipulation from Reference-Scoped Exploration","$\\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping","AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control","ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning","Behavior Generation with Latent Actions","BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark","Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards","CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks","DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects","DexCanvas: Bridging Human Demonstrations and Robot Learning for Dexterous Manipulation","DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation","DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy","DexMan: Learning Bimanual Dexterous Manipulation from Human and Generated Videos","DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning","DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation","DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Cluttered Environments","EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video","EgoMimic: Scaling Imitation Learning via Egocentric Video","Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning","Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning","H2-COMPACT: Human-Humanoid Co-Manipulation via Adaptive Contact Trajectory Policies","Hand-Eye Autonomous Delivery: Learning Humanoid Navigation, Locomotion and Reaching","HDMI: Learning Interactive Humanoid Whole-Body Control from Human Videos","InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions","KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills","ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning","MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation","MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos","OakInk2 : A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion","OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction","RealDex: Towards Human-like Grasping for Robotic Dexterous Hand","Residual Off-Policy RL for Finetuning Behavior Cloning Policies","ResMimic: From General Motion Tracking to Humanoid Whole-Body Loco-Manipulation via Residual Learning","RobustDexGrasp: Robust Dexterous Grasping of General Objects","Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos","TWIST: Teleoperated Whole-Body Imitation System","VisualMimic: Visual Humanoid Loco-Manipulation via Motion Tracking and Generation","XRoboToolkit: A Cross-Platform Framework for Robot Teleoperation","X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Electronics and Information"}}
{"question":"I’m working on an end-to-end autonomous driving system trained directly from raw sensor inputs to control outputs (steering, throttle, etc.). However, during real-world deployment, the model fails catastrophically in rare but critical scenarios like sudden pedestrian darts or occluded intersections—yet it performs well on standard benchmarks like nuScenes or CARLA.I need papers that propose an end-to-end driving architecture (no explicit modular pipeline) that explicitly incorporates a mechanism to detect or recover from out-of-distribution (OOD) driving states at inference time, and this mechanism must be integrated into the control policy itself—not just as a separate monitor or alarm. Additionally, the paper must evaluate safety-critical failure modes (e.g., collision avoidance in unseen scenarios) on a real-world or high-fidelity closed-loop simulator, and report quantitative metrics on both nominal performance and OOD robustness (e.g., intervention rate, collision rate under perturbation).","answer":["End-to-End Urban Autonomous Driving With Safety Constraints","Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?","Centaur: Robust End-to-End Autonomous Driving with Test-Time Training","DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving"," InterFuser: Safety-Enhanced Autonomous Driving using Sequential Sensor Fusion for Urban Driving","ReasonNet: End-to-End Driving with Temporal and Global Reasoning","Drive anywhere: Generalizable end-to-end autonomous driving with multi-modal foundation models"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Please help me find papers on autonomous machine learning systems implemented as LLM agent frameworks that are evaluated on MLE-bench Lite and achieve a score higher than 50. I care specifically about works where the agentic framework (planning, tool-use, or self-improvement loop) is clearly described in the main text.","answer":["The FM Agent","KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems","R&D-Agent: An LLM-Agent Framework Towards Autonomous Data Science","AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents","MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement","Operand Quant: A Single-Agent Architecture for Autonomous Machine Learning Engineering"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"I am building a unified safety evaluation framework for Vision-Language Models (VLMs) and would like help finding relevant papers that propose a multimodal safety evaluation benchmark including at least one explicit jailbreak attack category, with dataset statistics or evaluation protocols described in the full text. The papers should also introduce a reproducible safety enhancement method with implementation details provided. Additionally, the method should be quantitatively evaluated on the proposed benchmark, reporting at least one safety metric such as attack success rate, harmful-response rate, or safety score.","answer":["MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models","Can Language Models be Instructed to Protect Personal Information?","Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models","Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models","FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts","LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models","SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model","SafeMT: Multi-turn Safety for Multimodal Language Models","Red Teaming Visual Language Models","HoliSafe: Holistic Safety Benchmarking and Modeling for Vision-Language Model"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Biology and Biochemistry"}}
{"question":"I'm working with Vision-Language-Action models. I aim to develop a generalized architecture or pipeline that improves zero-shot performance in robotic manipulation tasks. Find 5-10 high-quality papers that propose a novel architecture integrating explicit planning representations into Vision-Language-Action (VLA) models.","answer":["Robotic Control via Embodied Chain-of-Thought Reasoning","GraphCoT-VLA: A 3D Spatial-Aware Reasoning Vision-Language-Action Model for Robotic Manipulation with Ambiguous Instructions","Compositional Foundation Models for Hierarchical Planning","DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping","ZERO-SHOT ROBOTIC MANIPULATION WITH PRETRAINED IMAGE-EDITING DIFFUSION MODELS","PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies","Hume: Introducing System-2 Thinking in Visual-Language-Action Model","CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models","F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions","RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation","OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints","HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation","Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models","VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models","Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation","RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation","DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies","RobustDexGrasp: Robust Dexterous Grasping of General Objects","Dexterous Non-Prehensile Manipulation for Ungraspable Object via Extrinsic Dexterity","Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations","Object-Focus Actor for Data-efficient Robot Generalization Dexterous Manipulation","Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans","DemoGrasp: Universal Dexterous Grasping from a Single Demonstration","Dexterous Functional Pre-Grasp Manipulation with Diffusion Policy","ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning","VAMOS: A Hierarchical Vision-Language-Action Model for Capability-Modulated Navigation","CoA-VLA: Improving Vision-Language-Action Models via Visual-Textual Chain-of-Affordance","π0.5: a Vision-Language-Action Model with Open-World Generalization","TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please provide papers that investigate the alignment of heterogeneous modalities in collaborative perception for autonomous driving. The selected papers should be under an open collaborative perception setting, where collaborative modalities are extensible. The papers must include experiments involving collaboration between LiDAR and camera modalities.","answer":["Communication-Efficient Collaborative Perception via Information Filling with Codebook","RG-Attn: Radian Glue Attention for Multi-modality Multi-agent Cooperative Perception","You Share Beliefs, I Adapt: Progressive Heterogeneous Collaborative Perception","CoDS: Enhancing Collaborative Perception in Heterogeneous Scenarios via Domain Separation","Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism","STAMP: Scalable Task And Model-agnostic Collaborative Perception","An Extensible Framework for Open Heterogeneous Collaborative Perception"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Chemistry"}}
{"question":"I'm working on humanoid robot control systems and I'm specifically looking for research where the proposed methods are validated in the real world rather than only in simulation. I’m interested in papers where the training data comes from human motion retargeting or from directly collected robot demonstrations. Also, I want to avoid VLA‑style models that use vision as input — instead, the control should be driven by reference motions or teleoperation signals. Can you recommend papers that meet these requirements?","answer":["BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion","HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit","GMT: General Motion Tracking for Humanoid Whole-Body Control","Think on your feet: Seamless Transition between Human-like Locomotion in Response to Changing Commands","KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills","ResMimic: From General Motion Tracking to Humanoid Whole-body Loco-Manipulation via Residual Learning","Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation","A Whole-Body Motion Imitation Framework from Human Data for Full-Size Humanoid Robot","Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots","Whole-body Humanoid Robot Locomotion with Human Reference","OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning","Stabilizing Humanoid Robot Trajectory Generation via Physics-Informed Learning and Control-Informed Steering","Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation","Learning Getting-Up Policies for Real-World Humanoid Robots","Implicit Kinodynamic Motion Retargeting for Human-to-humanoid Imitation Learning","WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts","ExBody2: Advanced Expressive Humanoid Whole-Body Control","HumanPlus: Humanoid Shadowing and Imitation from Humans","ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills","Implicit Kinodynamic Motion Retargeting (IKMR) for Human-to-Humanoid Imitation","TWIST: Teleoperated Whole-Body Imitation System","Expressive Whole-Body Control for Humanoid Robots","CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks","SoftMimic: Learning Compliant Whole-Body Control from Examples"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Chemistry"}}
{"question":"Please help me find some benchmarks to measure the ability of network search agents to solve complex network research tasks or search problems in real network environments. My requirement is that the questions must have standard answers that can clearly verify whether they are right or wrong since 2023.","answer":["SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models","DeepWideSearch: Benchmarking Depth and Width in Agentic Information Seeking","BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese","MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents","MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents","WebWalker: Benchmarking LLMs in Web Traversal","WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent","BEARCUBS: A benchmark for computer-using web agents","BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents","WideSearch: Benchmarking Agentic Broad Info-Seeking","GAIA: a benchmark for General AI Assistants","WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models","EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments","AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Chemistry"}}
{"question":"I am looking for research papers published in 2024 or 2025 regarding Autonomous Agents that utilize an Evolving Skill Library (or Procedural Memory). Specifically, the agent must have the capability to generate new executable code, functions, or tools, verify their correctness, and store them in a memory module for future reuse in similar tasks.\nExclusion Constraints:\nStrictly exclude papers where the \"memory\" is purely Episodic (i.e., just retrieving past natural language conversation logs or text summaries) without executable code.\nExclude papers where the agent relies solely on a fixed/static set of pre-defined tools (APIs) provided by humans, without the ability to create and save new tools during the interaction.","answer":["SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills","Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents","Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution","Agents of Change: Self-Evolving LLM Agents for Strategic Planning","Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution","Automated Design of Agentic Systems","AlphaEvolve: A coding agent for scientific and algorithmic discovery","G\\\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement","The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery","AFlow: Automating Agentic Workflow Generation","Empowering Large Language Model Agents through Action Learning","Inducing Programmatic Skills for Agentic Tasks","DynaSaur: Large Language Agents Beyond Predefined Actions","ToolLibGen: Scalable Automatic Tool Creation and Aggregation for LLM Reasoning","ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models","AnalogCoder: Analog Circuit Design via Training-Free Code Generation","SEW: Self-Evolving Agentic Workflows for Automated Code Generation","AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation","A Self-Improving Coding Agent","Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents","HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model","CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging","ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning","Autonomous Code Evolution Meets NP-Completeness","MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations","MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning","Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation","AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning","Democratizing AI scientists using ToolUniverse"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I am looking for research papers published in 2024 or 2025 that propose a Multi-modal Agentic Framework specifically for 3D Scene Generation or 3D Scene Synthesis. The method must involve an agent that utilizes Large Language Models (LLMs) (for planning or code generation) and Vision-Language Models (VLMs) (for visual feedback/verification) to iteratively arrange, layout, or generate complex indoor 3D scenes from natural language descriptions.\nExclusion Constraints:\nStrictly exclude papers that focus solely on Single Object Generation (e.g., text-to-mesh diffusion models like DreamFusion, Point-E) without scene-level layout planning.\nExclude papers about agents that perform only Navigation or Exploration in 3D environments (e.g., Habitat-based agents) without the capability to generate or modify the scene structure.","answer":["Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation","SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent","Agentic 3D Scene Generation with Spatially Contextualized VLMs","MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse","3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds","WonderJourney: Going from Anywhere to Everywhere","HOLODECK 2.0: Vision-Language-Guided 3D World Generation with Editing","Global-Local Tree Search in VLMs for 3D Indoor Scene Generation","Holodeck: Language Guided Generation of 3D Embodied AI Environments","WorldCraft: Photo-Realistic 3D World Creation and Customization via LLM Agents","DisCo-Layout: Disentangling and Coordinating Semantic and Physical Refinement in a Multi-Agent Framework for 3D Indoor Layout Synthesis","Latticeworld: A multimodal large language model-empowered framework for interactive complex world generation","Scenecraft: An llm agent for synthesizing 3d scenes as blender code","An agentic vision-action framework for generative 3D architectural modeling from sketches","Designing LLM based agents to interact with the embodied world","FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement","3D-VLA: A 3D Vision-Language-Action Generative World Model","OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization","Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I need to search for papers that were presented at the NeurIPS 2024, IROS 2024 or ICRA 2024 conferences, and which deal with the use of a behavior foundation model for the full-body control of humanoid robots for locomotion manipulation.","answer":["Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models","Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model","Humanoid Locomotion as Next Token Prediction","OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning","Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I need to search for papers that were presented at NeurIPS, ICRA, IROS, CoRL, RSS , CVPR, ICCV, and AAAI after 2023, and which deal with the use of active perception for object search (i.e., the robot actively chooses viewpoints/motions to find a target object in a realistic indoor environment).","answer":["Vision-Language Frontier Maps for Zero-Shot Semantic Navigation","PixelNav: Bridging Zero-Shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill","Aligning Knowledge Graph with Visual Perception for Object-Goal Navigation","Commonsense-Aware Object Value Graph for Object Goal Navigation","SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection Tasks","Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks","Context-Aware Replanning with Pre-Explored Semantic Map for Object Navigation","TriHelper: Zero-Shot Object Navigation with Dynamic Assistance","Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer","SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation","Trajectory Diffusion for ObjectGoal Navigation","GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-part and Affordance Maps","Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments","EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval","GOAL: Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation","Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation","Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation","GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation","UniGoal: Towards Universal Zero-shot Goal-oriented Navigation","CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs","Function-centric Bayesian Network for Zero-Shot Object Goal Navigation","RoboTrom-Nav: A Unified Framework for Embodied Navigation Integrating Perception, Planning","Learning on the Go: A Meta-learning Object Navigation Model","Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues","Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill (PixNav)","Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation (HIMOS)","VLPG-Nav: Object Navigation Using Visual Language Pose Graph and Object Localization Probability Maps","Commonsense Scene Graph-based Target Localization for Object Search","WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation","VLFM: Vision-Language Frontier Maps for Semantic Navigation","Vision in Action: Learning Active Perception from Human Demonstrations","Active Perception Meets Rule-Guided RL: A Two-Phase Approach for Precise Object Navigation in Complex Environments","GOAT: GO to Any Thing","RoboTron-Nav: A Unified Framework for Embodied Navigation Integrating Perception, Planning, and Prediction","LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Video","MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Enhancing LLMs’ agent capabilities currently relies mostly on RL, but scaling RL for agents faces several challenges:\n\n  1. Rollouts are expensive, especially for complex tasks that require extensive thinking and tool use.\n  2. Rewards are sparse, so on difficult tasks the model doesn’t get positive rewards and training stalls.\n  3. Scaled environments carry high engineering costs—for example, software engineering requires bespoke test cases for each repo.\n\n  However, we have abundant high-quality data such as repos, papers, and books. We treat these data as the terminal states of agent trajectories, with the intermediate actions and states unknown. In this work, we try to reconstruct\n  those intermediate states and actions. Because this approach scales well for constructing agent trajectories, we use the reconstructed trajectories for continued pretraining.\n\n  Could you help me find two mid-2025 papers related to constructing these states?","answer":["SimuRA: A World-Model-Driven Simulative Reasoning Architecture for General Goal-Oriented Agents","Adaptive Tool Generation with Models as Tools and Reinforcement Learning","TongUI: Building Generalized GUI Agents by Learning from Multimodal Web Tutorials"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I want to find some 2025 papers focused on repository-level code generation that are not about SWE-Bench-style tasks. Please identify the five most well-known, highly cited works whose code is open-sourced.","answer":["RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation","EpiCoder: Encompassing Diversity and Complexity in Code Generation","aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion","GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion","AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers","Fea-bench: A benchmark for evaluating repository-level code generation for feature implementation","ProjectEval: A Benchmark for Programming Agents Automated Evaluation on Project-Level Code Generation","SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I am looking for benchmarks published in 2024 or 2025, that specifically evaluate the ability of Large Language Models (LLMs) to generate comprehensive academic survey papers or literature reviews. The paper may not be a pure benchmark, but it does mention a benchmark the authors conducted to evaluate ai+survey.","answer":["Are LLMs Good Literature Review Writers? Evaluating the Literature Review Writing Ability of Large Language Models","SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing","SurveyX: Academic Survey Automation via Large Language Models","SurveyBench: How Well Can LLM(-Agents) Write Academic Surveys?","SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation","AutoSurvey: Large Language Models Can Automatically Write Surveys","SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems","SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation","LLMMapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent System","Large language models for automated literature review: An evaluation of reference generation, abstract writing, and review composition","SurveyBench: Can LLM(-Agents) Write Academic Surveys that Align with Reader Needs?"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I want some mcp benchmarks that focu on tool-using LLM/Agent struggle in mcp tools. Papers published in 2025 are preferred.","answer":["MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark","LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?","MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers","MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers","LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries","MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools","MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use","MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language Models","TheMCPCompany: Creating General-purpose Agents with Task-specific Tools","OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents","MCPVerse: An Expansive, Real-World Benchmark for Agentic Tool Use","MCPWorld: A Unified Benchmarking Testbed for API, GUI, and Hybrid Computer Use Agents","The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution","MSC-Bench: A Rigorous Benchmark for Multi-Server Tool Orchestration","InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents","MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I’m looking for different regularization methods for self-supervised learning models or JEPA models. The regularization method needs to provide theoretical bounds.","answer":["T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning","Modulate Your Spectrum in Self-Supervised Learning","An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization","VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization","Barlow Twins: Self-Supervised Learning via Redundancy Reduction","An Investigation into Whitening Loss for Self-supervised Learning","Failure-Proof Non-Contrastive Self-Supervised Learning","From Canonical Correlation Analysis to Self-supervised Graph Neural Networks","Self-Supervised Learning with an Information Maximization Criterion","Implicit variance regularization in non-contrastive SSL","Probabilistic self-supervised learning via scoring rules minimization","Deep nonlocal regularizer: A self-supervised learning method for 3-d seismic denoising","Self-supervised representation learning via latent graph prediction","A Bayesian Unification of Self-Supervised Clustering and Energy-Based Models","Predicting what you already know helps: Provable self-supervised learning","SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures","Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations","TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning","Towards Demystifying Representation Learning with Non-contrastive Self-supervision","Projection Head is Secretly an Information Bottleneck","Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods","Harnessing small projectors and multiple views for efficient vision pretraining","Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective","What Do We Maximize in Self-Supervised Learning?","Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations","AdaDim: Dimensionality Adaptation for SSL Representational Dynamics","Joint Embedding Self-Supervised Learning in the Kernel Regime","Video Representation Learning with Joint-Embedding Predictive Architectures","Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I am also looking for the practical paper about how JEPA helps to build and direct embodied AI system, the simulation works also count","answer":["DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning","V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning","MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features","DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture","EmbodiSwap for Zero-Shot Robot Imitation Learning","Label-Efficient Grasp Joint Prediction with Point-JEPA","AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR Data","Time-series jepa for predictive remote control under capacity-limited networks","ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning","Utilizing V-JEPA for action recognition on the lunar surface: advancing human-robot collaboration","A Survey on Joint Embedding Predictive Architectures and World Models","seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I need to find papers published in ASE 2024 (Automated Software Engineering), ICSE 2024, or NeurIPS 2024 that utilize Multi-Agent Systems (MAS) based on LLMs to improve complex code generation.","answer":["PairCoder: A Pair Programming Framework for Code Generation via Multi-Plan Exploration","MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue ReSolution","INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness","Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement","SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering","CoqPilot: A Plugin for LLM-Based Generation of Proofs (Multi-Agent Debate)","CodeAgents: A Token-Efficient Framework for Codified Multi-Agent Reasoning in LLMs"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Find academic papers or technical reports published by OpenAI between January 1, 2024, and November 1, 2025, that introduce new benchmarks or evaluation frameworks for AI agents.","answer":["Introducing SWE-bench Verified","MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering","Introducing the SWE-Lancer benchmark","PaperBench: Evaluating AI's Ability to Replicate AI Research","BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents","GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks","ON REAL-WORLD ECONOMICALLY VALUABLE TASKS","CUA eval extra information","SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?","Our updated Preparedness Framework","Measuring Short-Form Factuality in Large Language Models (SimpleQA)"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Find research papers concerning Jailbreak attacks specifically targeting Large Vision-Language Models, not text-only LLMs. The papers must be published in top-tier AI or Security conferences from 2023 to November 2025. Crucially, I only want papers that propose a new visual jailbreak benchmark dataset to evaluate safety. Theoretical attack methods without a comprehensive benchmark dataset release are not required.","answer":["MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models","Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models","MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models","Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models (HADES)","IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves (VLJailbreakBench)","Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models (VLGuard)","MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Multimodal Large Language Models","IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves","ImgTrojan: Jailbreaking Vision-Language Models with ONE Image"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please help me identify papers published in CCF-A recommended conferences in 2024 or 2025 (before Nov 1st). The topic should be about KV Cache compression or optimization for Large Language Models. My specific requirement is that the methods must be designed for streaming applications or infinite context length scenarios. Papers merely discussing quantization without addressing the long-context/streaming memory bottleneck should be ignored.","answer":["CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Inference","InfiniGen: Efficient Generative Inference for Large Language Models with Dynamic KV Cache Management","NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time","SnapKV: LLM Knows What You are Looking for Before Generation","MiniCache: KV Cache Compression in Depth Dimension for Large Language Models","Reducing Transformer Key-Value Cache Size with Cross-Layer Attention","TreeKV: Reducing KV Cache with Tree Structures for Efficient Long-Sequence LLM Inference","NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time","LoCoCo: Dropping In Convolutions for Long Context Compression","InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management","Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttention","Mooncake: Trading More Storage for Less Computation — A KVCache-centric Disaggregated Architecture for Serving LLM Chatbot","KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider","TreeKV: Smooth Key-Value Cache Compression with Tree Structures","SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers","Training Free Exponential Context Extension via Cascading KV Cache","KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization","CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences","Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning","MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection","ClusterAttn: KV Cache Compression under Intrinsic Attention Clustering","CacheGen: Fast Context Loading for Language Model Applications via KV Cache Streaming","ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please help me find papers on reasoning capabilities of vision-language models (VLMs) in visual question answering (VQA) tasks requiring commonsense knowledge, where the models explicitly employ chain-of-thought (CoT) prompting or similar step-by-step reasoning mechanisms adapted for multimodal inputs. The studies must evaluate performance primarily on the Visual Commonsense Reasoning (VCR) dataset, include ablation studies on the impact of CoT, and provide comparisons with non-CoT baselines. Limit to papers published after January 2023 but before November 2025.","answer":["IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models","Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models","Coherent Multimodal Reasoning with Iterative Self-Evaluation for Vision-Language Models","Vicor: Bridging visual understanding and commonsense reasoning with large language models","VIKSER: Visual Knowledge-Driven Self-Reinforcing Reasoning Framework","Do vision-language transformers exhibit visual commonsense? an empirical study of VCR","Generative Visual Commonsense Answering and Explaining with Generative Scene Graph Constructing","Infimm-eval: Complex open-ended reasoning evaluation for multi-modal large language models","Improve Vision Language Model Chain-of-thought Reasoning","Enhancing Advanced Visual Reasoning Ability of Large Language Models","Cognitive Chain-of-Thought: Structured Multimodal Reasoning about Social Situations"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please help me find papers on safety alignment techniques for vision-language models (VLMs) that focus on mitigating biases in multimodal data, specifically addressing jailbreak attacks or adversarial prompts involving both text and images. The methods should incorporate reinforcement learning from human feedback (RLHF) or similar preference optimization approaches, and include empirical evaluations on benchmarks like MM-SafetyBench or similar datasets. Papers should be published between 2023 and October 2025.","answer":["Aligning Large Multimodal Models with Factually Augmented RLHF","Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback","Towards Harmless Multimodal Assistants with Blind Preference Optimization","MM-RLHF: The Next Step Forward in Multimodal LLM Alignment","PRISM: Robust VLM Alignment with Principled Reasoning for Integrated Safety in Multimodality","AdPO: Enhancing the adversarial robustness of large vision-language models with preference optimization","SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models","DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback","BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks","VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I find that pure End-to-End VLAs lack long-horizon reliability in general Embodied AI (excluding Autonomous Driving), while off-the-shelf MLLMs lack specific physical common sense.  Please search for recent papers (2024-2025) proposing an explicit hierarchical architecture. I am specifically looking for a general-purpose MLLM that serves as a 'System 2' brain (reasoning/planning) and has undergone targeted alignment via SFT (Supervised Fine-Tuning) or RL (Reinforcement Learning) to inject extensive embodied knowledge and physical reasoning capabilities.","answer":["Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning","EmbodiedBrain: Expanding Performance Boundaries of Task Planning for Embodied Intelligence","Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models","Hume: Introducing System-2 Thinking in Visual-Language-Action Model","Gemini Robotics: Bringing AI into the Physical World","Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","RoboGPT-R1: Enhancing Robot Planning with Reinforcement Learning","Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation","Structured Preference Optimization for Vision-Language Long-Horizon Task Planning","RoboBrain 2.0 Technical Report","TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I am struggling to collect mobile manipulation trajectories for a humanoid robot due to the high cost of motion capture suits. I only have a consumer VR headset (e.g., Quest 3/Vision Pro) and a low budget (<$1000). Please search for recent papers that provide an open-source VR teleoperation framework specifically for humanoids.","answer":["BEAVR: Bimanual, multi-Embodiment, Accessible, Virtual Reality Teleoperation System for Robots","HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit","Holo-Dex: Teaching Dexterity with Immersive Mixed Reality","OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation","TWIST: Teleoperated Whole-Body Imitation System","Exploiting virtual reality and the robot operating system to remote-control a humanoid robot","Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I'm building a multi-agent system specifically using Large Language Models (not traditional RL agents) for complex task automation. As I scale beyond 10 LLM agents, the quadratic growth in communication overhead is becoming prohibitive. I need papers published after 2023 that propose novel architectures or protocols explicitly designed to handle 50+ LLM agents efficiently—particularly interested in hierarchical, graph-based, or selective communication patterns that reduce the O(n²) complexity while maintaining task performance.","answer":["Scaling Large-Language-Model-based Multi-Agent Collaboration","Language Agents as Optimizable Graphs","Scaling Large Language Model-based Multi-Agent Collaboration","MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs","Agentnet: Decentralized evolutionary coordination for llm-based multi-agent systems","Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development","A scalable communication protocol for networks of large language models","Self-organizing agent network for llm-based workflow automation","Gptswarm: Language agents as optimizable graphs","Multi-Agent Collaboration via Evolving Orchestration","Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models","G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks","Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems","Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence","DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems","Multi-agent Architecture Search via Agentic Supernet","HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution","HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems","GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination","SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication","Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems","Advancing Multi-Agent Systems Through Model Context Protocol: Architecture, Implementation, and Applications","G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems","Enhancing Multi-Agent Systems via Reinforcement Learning with LLM-based Planner and Graph-based Policy","Agents meet OKR: An Object and Key Results Driven Agent System with Hierarchical Self-Collaboration and Self-Evaluation","AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration","OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation","A Survey of AI Agent Protocols","AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management","Embodied LLM Agents Learn to Cooperate in Organized Teams","KVComm: Enabling Efficient LLM Communication through Selective KV Sharing","Mixture-of-Agents Enhances Large Language Model Capabilities","Problem-Solving in Language Model Networks","AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors","MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Our team needs to align custom LLMs but RLHF's reward model training keeps failing due to noisy preference data and training instability. Looking for alignment methods published after 2023 that completely bypass reward model training—specifically direct optimization methods that work with preference pairs or even single-point feedback. The method must be theoretically grounded (not just heuristic), work with standard preference datasets like HH-RLHF or UltraFeedback, and show comparable or better performance than PPO-based RLHF.","answer":["Direct Preference Optimization: Your Language Model is Secretly a Reward Model","Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences","Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization","Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts","Token-level Direct Preference Optimization","KTO: Model Alignment as Prospect Theoretic Optimization","Direct Preference Optimization with an Offset","SLiC-HF: Sequence Likelihood Calibration with Human Feedback","Binary Classifier Optimization for Large Language Model Alignment","ORPO: Monolithic Preference Optimization without Reference Model","Zephyr: Direct Distillation of LM Alignment","RRHF: Rank Responses to Align Language Models with Human Feedback without tears","Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment","Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both","SimPO: Simple Preference Optimization with a Reference-Free Reward","Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization","Towards Efficient Exact Optimization of Language Model Alignment","Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier","Beyond reverse kl: Generalizing direct preference optimization with diverse divergence constraints","UNA: unifying alignments of RLHF/PPO, DPO and KTO by a generalized implicit reward function","Contrastive preference learning: learning from human feedback without rl","Alignment as Distribution Learning: Your Preference Model is Explicitly a Language Model","DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization","Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization","ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization","ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihood","Stable Preference Optimization for LLMs: A Bilevel Approach Beyond Direct Preference Optimization","Learn Your Reference Model for Real Good Alignment","Soft Preference Optimization: Aligning Language Models to Expert Distributions","Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences","Active Preference Learning for Large Language Models","REBEL: Reinforcement Learning via Regressing Relative Rewards","Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization","Explicit Preference Optimization: No Need for an Implicit Reward Model"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I'm preparing to construct a computational prediction system for regioselectivity of transition metal catalyzed cross-coupling on mutihalogen reactants, but do not know which prediciton model/descriptors should I include in our method. Can you recommend papers with methods to predict such regioselectivity? Do a thorough search for these papers, provide as many papers as you can find.","answer":["Site-selective Suzuki–Miyaura coupling of heteroaryl halides – understanding the trends for pharmaceutically important classes","A Dichotomy in Cross-Coupling Site Selectivity in a Dihalogenated Heteroarene: Influence of Mononuclear Pd, Pd Clusters, and Pd Nanoparticles—the Case for Exploiting Pd Catalyst Speciation","A General Reactivity Map for Predicting Outcomes in Palladium-Catalyzed Cross-Coupling","Mechanisms and Site Selectivity of (Het)Ar–X Oxidative Addition to Pd(0) Are Controlled by Frontier Molecular Orbital Symmetry","Regio-MPNN: Predicting Regioselectivity for General Metal-Catalyzed Cross-Coupling Reactions","The Road Less Traveled: Unconventional Site Selectivity in Palladium-Catalyzed Cross-Couplings of Dihalogenated N-Heteroarenes","Ligand-Controlled Regioselectivity in Palladium-Catalyzed Cross Coupling Reactions","Origin of Regioselectivity in Palladium-Catalyzed Cross-Coupling Reactions of Polyhalogenated Heterocycles","Theoretical Bond Dissociation Energies of Halo-Heterocycles: Trends and Relationships to Regioselectiviy in Palladium-Catalyzed Cross-Coupling Reactions","A simple guide for predicting regioselectivity in the coupling of polyhaloheteroaromatics"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Chemistry"}}
{"question":"Could you help check whether there are any papers that studied the photoisomerization of retinol? These papers should include computational investigation of the isomerization process. These papers should locate the reaction potential energy surface in excited states and perform non-adibatic dynamic simulations. Summarize the absorption wavelength reported in these papers. Do a thorough search for these papers, provide as many papers as you can find.","answer":["Nonadiabatic ab initio dynamics of a model protonated Schiff base of 9-cis retinal","Quantum molecular dynamics simulations of the effect of secondary modes on the photoisomerization of a retinal chromophore model","Theory and Simulation of the Ultrafast Double-Bond Isomerization of Biological Chromophores","Molecular dynamics simulation of bacteriorhodopsin's photoisomerization using ab initio forces for the excited chromophore","Nonadiabatic Photodynamics of a Retinal Model in Polar and Nonpolar Environment","Photochemical Reaction Dynamics of the Primary Event of Vision Studied by Means of a Hybrid Molecular Simulation","Trajectory surface hopping molecular dynamics simulations for retinal protonated Schiff-base photoisomerization","Comparison of the isomerization mechanisms of human melanopsin and invertebrate and vertebrate rhodopsins","Benchmarking Density Functional Approximations in Nonadiabatic Dynamics: Trans–Cis Isomerization in Retinal Model","Insight into the Isomerization Mechanism of Retin  Hybrid QM/MM Simulations"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Chemistry"}}
{"question":"Please retrieve peer-reviewed, original research articles (excluding reviews) published from 2010 onward that investigate electrochemical deuteration reactions. Each article must:(1) explicitly report or discuss Faradaic efficiency (also referred to as Faraday efficiency) in the context of deuterium incorporation, and (2) employ spectroscopic techniques to study or elucidate the reaction mechanism.For each qualifying article, provide the full title, publication year, journal name, and a valid, verifiable DOI. Prioritize studies published in reputable journals with clear experimental evidence and reproducible methodology.","answer":["Highly  efficient  electrocatalytic  deuteration  of  acetylene  to  deuterated  ethylene  using  deuterium  oxide ","Electrocatalytic Deuteration of Halides with D2O as the DeuteriumSource over a Copper Nanowire Arrays Cathode","Selective Transfer Semihydrogenation of Alkynes with H₂O (D₂O) as the H (D) Source over a Pd–P Cathode","Converting copper sulfide to copper with surface  sulfur for electrocatalytic alkyne semi hydrogenation with water","Microenvironment regulation breaks the  Faradaic efficiency-current density trade-off  for electrocatalytic deuteration using D2O","Boosted high-throughput D⁺ transfer from  D₂O to unsaturated bonds via Pdδ+ cathode  for solvent-free deuteration","Electrocatalytic Alkene Hydrogenation/Deuteration","Plasma-Electrocatalysis Cascade Synthesis of Deuterated Ammonia","Pd Nanoparticles Supported on N-Doped Porous Carbon Cathodes for the Catalytic Semideuteration of Alkynes","Electrocatalytic Hydrogenation and Deuteration of Unsaturated C−N Bonds to Amines with Vacancy-Rich Cu3P Nanowires as Catalysts in Aqueous Solution","Cuδ+ Site-Enhanced Adsorption and Crown Ether-Reconfigured Interfacial D2O Promote Electrocatalytic Dehalogenative Deuteration","Defect-Induced Electron Localization Promotes D(2)O Dissociation and Nitrile Adsorption for Deuterated Amines"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Chemistry"}}
{"question":"帮我尽可能多的查找有关氯析出反应机理的文献，给我文章的题目或DOI。要求机理介绍中至少要有Tafel斜率这项动力学参数值，不要2010年以前的文章，不要综述，注意文献真实性","answer":["Selectivity Trends Between Oxygen Evolution and Chlorine  Evolution on Iridium-Based Double Perovskites in Acidic Media","Microscopic Insights into the Chlorine Evolution Reaction  on RuO2(110): a Mechanistic Ab Initio Atomistic  Thermodynamics Study","Enhancing the activity of oxygen-evolution  and chlorine-evolution electrocatalysts by  atomic layer deposition of TiO2†","Decoupling Oxygen and Chlorine Evolution Reactions in Seawater using Iridium-based Electrocatalysts","Ti2O3 film electrode for water treatment via  electrochemical chlorine evolution","Preparation of the Ordered Spherical Ru-RuO2 and  Electrocatalysis toward Chlorine Evolution Reaction ","Stable and efficient chlorine evolution reaction with atomically dispersed Ru on surface tensile strained TiO₂","Electrosynthesis of chlorine from seawater like solution through single-atom catalysts","Efficient electrocatalytic chlorine evolution under neutral seawater  conditions enabled by highly dispersed Co3O4 catalysts on porous carbon","Probing the effects of electrode composition and morphology on the effectiveness of silicon oxide overlayers to enhance selective oxygen evolution in the presence of chloride ions","Atomically dispersed Pt–N₄ sites as efficient and selective electrocatalysts for the chlorine evolution reaction","Chlorine evolution reaction electrocatalysis on RuO₂(110) and IrO₂(110) grown using molecular-beam epitaxy","Full Kinetics from First Principles of the Chlorine Evolution Reaction over a RuO₂(110) Model Electrode","Temperature-dependent kinetic studies of the chlorine evolution reaction over RuO₂(110) model electrodes","Ultrafast Synthesis of IrB  1.15  Nanocrystals for Efficient Chlorine and  Hydrogen Evolution Reactions in Saline Water","Understanding electrochemical chlorine evolution process of ultrafine spinel cobalt oxide nanoparticle","Highly Selective Active Chlorine Generation Electrocatalyzed by  Co3O4 Nanoparticles: Mechanistic Investigation through in Situ  Electrokinetic and Spectroscopic Analyses","General Efficacy of Atomically Dispersed Pt Catalysts for the Chlorine Evolution Reaction: Potential-Dependent Switching of the Kinetics and Mechanism","Atomically dispersed dinuclear iridium active sites for efficient and stable electrocatalytic chlorine  evolution reaction","Sea urchin-like nickel cobaltite for enhanced chlorine evolution  reaction activity","Engineering antibonding orbital occupancy of NiMoO4-supported Ru  nanoparticles for enhanced chlorine evolution reaction","Mechanistic Insights of Electrochemical Cl2 and O2 Generation from Lanthanum Cobalt Manganese Oxide"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Chemistry"}}
{"question":"I'm looking for research on self-evolving AI agent architectures that examine human-AI coevolution through longitudinal studies. The papers must propose novel agent frameworks with explicit memory mechanisms and demonstrate behavioral adaptation over multiple interaction sessions. Studies should include quantitative analysis of how both human behavior and agent strategies change over time, measured across at least three time points with statistical validation of coevolutionary dynamics. The research must address human-centered design principles in the agent architecture itself, not just in the evaluation.","answer":["Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship","Engagement in longitudinal child-robot language learning interactions: Disentangling robot and task engagement","Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders","AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation","ChatThero: An LLM-Supported Chatbot for Behavior Change and Therapeutic Support in Addiction Recovery","AI Agent Behavioral Science","Incentivized Symbiosis: A Paradigm for Human-Agent Coevolution","Human-AI Coevolution"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I need papers on identifying RNA modifications using mass spectrometry that employ machine learning algorithms for spectrum annotation. The mass spectrometry approach should use tandem MS with fragmentation patterns.","answer":["Pytheas: a software package for the automated analysis of RNA sequences and modifications via tandem mass spectrometry","Improved Application of RNAModMapper – an RNA modification mapping software tool – for analysis of liquid chromatography tandem mass spectrometry (LC-MS/MS) data","Mass Spectrometry-Based Pipeline for Identifying RNA Modifications Involved in a Functional Process: Application to Cancer Cell Adaptation","Detection technologies for RNA modifications","A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry","RoboOligo: software for mass spectrometry data to support manual and de novo sequencing of post-transcriptionally modified ribonucleic acids","RNAModMapper: RNA modification mapping software for analysis of liquid chromatography tandem mass spectrometry data","Ariadne: a database search engine for identification and chemical analysis of RNA using tandem mass spectrometry data ","RNAModMapper (Original Paper): An RNA modification mapping software tool","Mass Spectrometry of Modified RNAs: Recent Developments","Mass spectrometry to study the primary structure of mRNA","Instrumental analysis of RNA modifications","Phosphorothioate RNA Analysis by NETD Tandem Mass Spectrometry","Analysis of RNA and its Modifications","Identifying Modifications in RNA by MALDI Mass Spectrometry","Review of fragmentation of synthetic single‐stranded oligonucleotides"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Biology and Biochemistry"}}
{"question":"Could you help determine whether there exist research papers that investigate exchange bias (EB) phenomena in amorphous or partially amorphous magnetic alloy systems prepared specifically by magnetron sputtering, where the origin of EB is attributed to intrinsic structural disorder, nanoscale FM–AFM phase coexistence, or local exchange coupling within the amorphous matrix rather than engineered interfaces? The studies must include magnetic measurements such as hysteresis loop analysis and at least one structural characterization technique capable of confirming amorphous features, such as TEM, XRD, or PDF analysis. Papers involving intentionally synthesized FM/AFM bilayers, multilayers, epitaxial interfaces, core–shell nanoparticles, or any artificially designed crystalline interfaces should be excluded. Only papers where the true origin of EB and the amorphous structural characteristics can be determined solely through detailed reading of the full text, including microstructural analysis, deposition parameters, and magnetic characterization, should be considered.","answer":["Observation of an atomic exchange bias effect in DyCo(4)film","Exchange Bias and Coercivity in Vicinity of Magnetic Compensation Point in GdFeCo Amorphous Film","Exchange bias and bistable magneto-resistance states in amorphous TbFeCo thin films","Magnetic behavior of amorphous Fe–Zr thin films sputtered at different Ar pressures","Positive surface and perpendicular magnetic anisotropy in natural nanomorphous Ni/NiO multilayers","Preparation of amorphous magnetic thin film by two source r.f. magnetron sputtering","Magnetic properties of dc magnetron sputtered and evaporated amorphous films","Structural and magnetic properties of micropolycrystalline cobalt thin films fabricated by direct current magnetron sputtering"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Could you help determine whether there exist research papers in which the performance of oxygen evolution reaction (OER) catalysts is improved specifically through quenching-based thermal modification, including cases where new elements are introduced or redistributed as a consequence of the quenching process? The quenching treatment must be the primary and defining modification strategy, and the study must provide structural evidence such as TEM and XRD to verify the structural or compositional changes induced by quenching. Papers that rely on additional modification strategies, such as hydrothermal structural tuning, solvothermal growth, templating, interface engineering, or multi-step chemical treatments, should be excluded.","answer":["Quenching-induced surface engineering of ZnCo(2)O(4) spinel oxide for enhanced oxygen evolution reaction","Quench-induced surface engineering of NiO/NiSe(x) hybrid for highly enhanced electrochemical oxygen evolution reaction","Laser Fragmentation-Induced Defect-Rich Cobalt Oxide Nanoparticles for Electrochemical Oxygen Evolution Reaction","Stabilization of Brownmillerite-Type SrCoO(2.5) by a Cost-Effective Quenching Method for Oxygen-Scavenging Applications","Mo-modified Co₃O₄ nanosheets array by a rapid quenching strategy for efficient OER","Quenching-induced surface reconstruction of FeMn(2)O(4) for promoted oxygen evolution reaction","Quenching-Induced Three-Phase Heterostructured Catalysts for Oxygen Electrocatalysis with Lattice Oxygen Participation","Activating Metal Oxides Nanocatalysts for Electrocatalytic Water Oxidation by Quenching-Induced Near-Surface Metal Atom Functionality","Quench-Induced Surface Engineering Boosts Alkaline Freshwater and Seawater Oxygen Evolution Reaction of Porous NiCo(2)O(4) Nanowires","Quenching modification of NiFe layered double hydroxides as efficient and highly stable electrocatalysts for the oxygen evolution reaction"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Could you help me find any research paper about calculating properties of Frequency Selective Surface based on First Principle, rather than equivalent model? The theory should be instrumental for fast FSS inverse design.","answer":["Characteristic mode analysis of resistor-loaded frequency selective surfaces: Theoretical research and experimental verification","An Improved Model for Full Wave Analysis of Multilayered Frequency Selective Surface with Gridded Square Element","Full-Wave Analysis of Stable Cross Fractal Frequency Selective Surfaces Using an Iterative Procedure Based on Wave Concept","A Machine Learning Approach for Design of Frequency Selective Surface based Radar Absorbing Material via Image Prediction","Deep Electromagnetic Structure Design Under Limited Evaluation Budgets","Inverse design in nanophotonics","Controlling angular dispersions in optical metasurfaces","Tailoring the lineshapes of coupled plasmonic systems based on a theory derived from first principles"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Electronics and Information"}}
{"question":"Could you help me search any research papers that build neural operator especially for predicting performance of EM metasurface? The neural operator must combine some pre-informed physical theories (such as RCWA algorithm) to improve accuracy and robustness.","answer":["Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design","Meent: Differentiable Electromagnetic Simulator for Machine Learning","Physics-informed learning in artificial electromagnetic materials","Physics-Guided Hierarchical Neural Networks for Maxwell’s Equations in Plasmonic Metamaterials","Generalizing Deep Surrogate Solvers for Broadband Electromagnetic Field Prediction at Unseen Wavelengths","FE-PIRBN: Feature-enhanced physics-informed radial basis neural networks for solving high-frequency electromagnetic scattering problems","NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation","Physics-informed neural networks for inverse problems in nano-optics and metamaterials"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Electronics and Information"}}
{"question":"Please find papers that propose data selection methods for reinforcement learning post-training of LLMs (such as GRPO or RLVR). The methods should select training samples based on criteria like difficulty, learnability, gradient alignment, or influence functions, and report experiments on mathematical reasoning benchmarks such as GSM8K, MATH, or AIME.","answer":["LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment","Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay","Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning","How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs’ Reasoning Capabilities: A Preliminary Experimental Study","DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training","Data-Efficient RLVR via Off-Policy Influence Guidance","UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection","SPaRFT: Self-Paced Reinforcement Fine-Tuning for Large Language Models","Scheduling Your LLM Reinforcement Learning with Reasoning Trees","Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward","CLPO: Curriculum Learning meets Policy Optimization for LLM Reasoning","LIMR: Less is More for RL Scaling","Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration","CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models","Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning","Prompt Curriculum Learning for Efficient LLM Post-Training","Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning","Synthetic Data RL: Task Definition Is All You Need","Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts","Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding","From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization","Hard Examples Are All You Need: Maximizing GRPO Post-Training Under Annotation Budgets","DARO: Difficulty-Aware Reweighting Policy Optimization","LSPO: Length-aware Dynamic Sampling for Policy Optimization in LLM Reasoning","Enhancing Math Reasoning in Small-sized LLMs via Preview Difficulty-Aware Intervention","SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM","RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning","EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework","Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning","Reinforcement Learning for Reasoning in Large Language Models with One Training Example","Learning to Reason at the Frontier of Learnability"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"What are the recent papers that combine tree-based search algorithms (e.g., Monte Carlo Tree Search or tree-structured rollouts) with reinforcement learning for LLM post-training? I need works that specifically integrate tree search into policy optimization frameworks such as GRPO or PPO, with experimental validation on math reasoning or code generation tasks.","answer":["Tree search for llm agent reinforcement learning","Exploiting Tree Structure for Credit Assignment in RL Training of LLMs","Segment policy optimization: Effective segment-level credit assignment in rl for large language models","ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL","TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling","Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers","Policy Guided Tree Search for Enhanced LLM Reasoning","TreeRL: LLM Reinforcement Learning with On-Policy Tree Search","TreeRPO: Tree Relative Policy Optimization","Tree-OPO: Off-policy Monte Carlo Tree-Guided Advantage Optimization for Multistep Reasoning","Lookahead Tree-Based Rollouts for Enhanced Trajectory-Level Exploration in Reinforcement Learning with Verifiable Rewards","VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment","DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search","ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding","MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision","ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context","Preference-Guided Reflective Sampling for Aligning Language Models","Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding","Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning","DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning","Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS","Making ppo even better: Value-guided monte-carlo tree search decoding","rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking","Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations","SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"Search for papers about tree search techniques that enhance LLM reasoning capabilities. Exclude papers that only use linear chain-of-thought prompting without any tree exploration mechanism. The target papers must implement explicit tree-structured search with branching strategies to explore multiple candidate reasoning paths simultaneously.","answer":["Tree search for llm agent reinforcement learning","Enhancing llm reasoning with reward-guided tree search","Tree of Thoughts: Deliberate Problem Solving with Large Language Models","Policy Guided Tree Search for Enhanced LLM Reasoning","Dynamic Parallel Tree Search for Efficient LLM Reasoning","Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls","Tree Search for Language Model Agents","Reasoning with Language Model is Planning with World Model","TreeRPO: Tree Relative Policy Optimization","Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training","Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models","Tree-OPO: Off-policy Monte Carlo Tree-Guided Advantage Optimization for Multistep Reasoning","ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search","Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B","rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking","Interpretable Contrastive Monte Carlo Tree Search Reasoning","Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning","Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning","No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function","PathFinder: Guided Search over Multi-Step Reasoning Paths","LLM-First Search: Self-Guided Exploration of the Solution Space","ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning","Leveraging Constrained Monte Carlo Tree Search to Generate Reliable Long Chain-of-Thought for Mathematical Reasoning","Accelerating Large Language Model Reasoning via Speculative Search","SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation","SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement","Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search","MC-NEST -- Enhancing Mathematical Reasoning in Large Language Models with a Monte Carlo Nash Equilibrium Self-Refine Tree","MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration","RoT: Enhancing Large Language Models with Reflection on Search Trees","ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding","Constraints-of-Thought: A Framework for Constrained Reasoning in Language-Model-Guided Search","MASPRM: Multi-Agent System Process Reward Model","Autonomous Tree-search Ability of Large Language Models","Improving Autonomous AI Agents with Reflective Tree Search and Self-Learning","LiteSearch: Efficacious Tree Search for LLM","MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search","ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search","MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision","AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search","ToTRL: Unlock LLM Tree-of-Thoughts Reasoning Potential through Puzzles Solving","ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context","Unifying Tree Search Algorithm and Reward Design for LLM Reasoning: A Survey","Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding","MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains","SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL","Tree of Uncertain Thoughts Reasoning for Large Language Models"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"Search for SCI papers related to PDE4 published in the past 20 years. The papers should be in the fields of biology and pharmacology. The first author's institution should be from China. The papers should be review or basic research type, and clinical research papers should be excluded.","answer":["The multifaceted role of phosphodiesterase 4 in tumor: from tumorigenesis to immunotherapy","Targeting Phosphodiesterase 4 in Gastrointestinal and Liver Diseases: From Isoform-Specific Mechanisms to Precision Therapeutics","Design, Synthesis, and Evaluation of Selective PDE4 Inhibitors for the Therapy of Pulmonary Injury","A novel PDE4 inhibitor ZX21011 alleviates neuronal apoptosis by decreasing GSK3β-mediated Drp1 Ser616 phosphorylation in cerebral ischemia reperfusion","A novel phosphodiesterase 4/5 dual-target inhibitor ameliorates neuroinflammation via the NF-κB and JNK pathway","PDE4 inhibitor apremilast ameliorates TNBS-induced irritable bowel syndrome in mice by activating the Nrf-2 signaling pathway in enteric glial cells","Inhibition of PDE4B ameliorates cognitive defects in the model of alcoholic dementia in 3xTg-AD mice via PDE4B/cAMP/PKA signaling","Phosphodiesterase 4B (PDE4B) inhibitors and their applications in recent years (2014 to early 2025)","Uncovering the selectivity mechanism of PDE4B and PDE4D through computational investigations","PDE4D inhibition ameliorates cardiac hypertrophy and heart failure by activating mitophagy","Phosphodiesterase 4B inhibitors and their efficacy in autoimmune diseases: a comprehensive review of therapeutic innovations and future prospects","Microglial circDlg1 modulates neuroinflammation by blocking PDE4B degradation to exacerbate tau pathology and cognitive impairment in Alzheimer's disease","Inhibition of GRK2-PDE4D Axis Suppresses Fibroblast-Like Synoviocytes Activation in Rheumatoid Arthritis and Alleviates Arthritis In Vivo","PDE4B Modulates Phosphorylation of p65 (Ser468) via cAMP/PKA in Acute Lung Injury"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Biology and Biochemistry"}}
{"question":"Can you help check if there is a paper that has designed a gel electrolyte for batteries, where this gel electrolyte is not for lithium-ion batteries but for lithium-sulfur batteries? This gel electrolyte is not for other systems, but specifically for the PDOL system.","answer":["An in situ fabricated multifunctional gel electrolyte for lithium–sulfur batteries","Improving lithium–sulfur battery performance under lean electrolyte through nanoscale confinement in soft swellable gels","Novel gel polymer electrolyte for high-performance lithium–sulfur batteries","Accelerating polysulfide conversion kinetics via in situ ring-opening gelation electrolyte-electrode dual catalysis for advanced quasi-solid-state lithium-sulfur batteries","How a gel polymer electrolyte affects performance of lithium/sulfur batteries","In Situ Polymerization Bi-Functional Gel Polymer Electrolyte for High Performance Quasi-Solid-State Lithium-Sulfur Batteries","Ion-selective gel polymer electrolyte and cathode binder derived from a shared polyether to synergistically mitigate polysulfides shuttling in lithium sulfur batteries","In situ forming asymmetric bi-functional gel polymer electrolyte in lithium–sulfur batteries","PEDOT:PSS Dual-Function Film Initiated 1,3-Dioxolane Polymerization in Li/S Cells","InF3 initiated ionic/electronic conductive SEI for highly stable solid-state lithium sulfur batteries","Quasi-Solid-State Electrolyte Induced by Metallic MoS2 for Lithium-Sulfur Batteries","A high ion conductive solid electrolyte film and interface stabilization strategy for solid-state Li-S battery","Temperature-dependent viscoelastic liquid MOFs based cellulose gel electrolyte for advanced lithium-sulfur batteries over an extensive temperature range","Gel electrolyte with flame retardant polymer stabilizing lithium metal towards lithium-sulfur battery","An in situ gel electrolyte for the facile preparation of high‐safety Li‐S battery","In Situ Polymerization Bi‐Functional Gel Polymer Electrolyte for High Performance Quasi‐Solid‐State Lithium−Sulfur Batteries","InPc-modified gel electrolyte based on in situ polymerization in practical high-loading lithium-sulfur batteries","Electrochemical studies on composite gel polymer electrolytes for lithium sulfur-batteries","A gel-ceramic multi-layer electrolyte for long-life lithium sulfur batteries","A highly stretchable gel-polymer electrolyte for lithium-sulfur batteries","A Rational Reconfiguration of Electrolyte for High‐Energy and Long‐Life Lithium–Chalcogen Batteries","A Concept for Making Poly(ethylene oxide) Based Composite Gel Polymer Electrolyte Lithium/Sulfur Battery","Superstretchable, thermostable and ultrahigh-loading lithium–sulfur batteries based on nanostructural gel cathodes and gel electrolytes","Low concentration salt triggered in-situ asymmetric gel electrolyte for Li-S battery"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Please help me find papers on lithium-sulfur battery gel electrolytes. These papers should include gel electrolytes used in the field of lithium-sulfur batteries, including research papers and reviews. These papers should have been published after 2023.","answer":["Solvent Dynamics in Gel Polymer Electrolytes for Lithium–Sulfur Batteries","Simultaneously Suppressing Shuttle Effect and Dendrite Growth in Lithium–Sulfur Batteries via Building Dual‐Functional Asymmetric‐Cellulose Gel Electrolyte","2,5-Dimercapto-1,3,4-thiadiazole-modified gel electrolyte for reduced shuttle effect and enhanced redox kinetics of lithium–sulfur batteries","Ion-selective gel polymer electrolyte and cathode binder derived from a shared polyether to synergistically mitigate polysulfides shuttling in lithium sulfur batteries","In Situ Polymerization Bi-Functional Gel Polymer Electrolyte for High Performance Quasi-Solid-State Lithium−Sulfur Batteries","In Situ Polymerization Bi-Functional Gel Polymer Electrolyte for High Performance Quasi-Solid-State Lithium-Sulfur Batteries","Quasi-Solid-State Electrolyte Induced by Metallic MoS2 for Lithium–Sulfur Batteries","A gel polymer electrolyte functionalized separator for high-performance lithium–sulfur batteries","Quasi-solid-state sulfur cathode with ultralean electrolyte via in situ polymerization","A universal dual modified strategy of gel polymer electrolyte for efficient sulfur conversion","Gel Polymer Electrolyte Selection for Cathode of Solid-State Lithium–Sulfur Batteries","Stabilising graphite anode with quasi-solid-state electrolyte for long-life lithium–sulfur batteries","Polymer-Based Solid-State Electrolytes For Lithium–Sulfur Batteries","Powering the future: advances, challenges, and sustainability of polymer electrolytes in lithium–sulfur batteries","Comprehensive Study on Solvent Dynamics in Gel Polymer Electrolytes for Lithium-Sulfur Battery","Temperature-dependent viscoelastic liquid MOFs based cellulose gel electrolyte for advanced lithium-sulfur batteries over an extensive temperature range","A 3D network-structured gel polymer electrolyte with soluble starch for enhanced quasi-solid-state lithium-sulfur batteries","Polymer Electrolytes for Lithium-Sulfur Batteries: Progress and Challenges","Gel electrolyte with flame retardant polymer stabilizing lithium metal towards lithium-sulfur battery","Powering the Future: Advances, Challenges, and Sustainability of Polymer Electrolytes in Lithium-Sulfur Batteries","Construction of High-Strength Flame-Retardant Li-SPEEK-Modified PEG Gel Polymer Electrolytes for Lithium Batteries","InPc-modified gel electrolyte based on in situ polymerization in practical high-loading lithium-sulfur batteries"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Please help me find papers that utilize Knowledge Graphs (KGs) to mitigate hallucinations or improve factual accuracy in Retrieval-Augmented Generation (RAG) systems. The methods should specifically focus on incorporating KG reasoning paths or subgraph retrieval during the inference phase, rather than just using KGs for pre-training or simple entity masking.","answer":["FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs","Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction","Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation","Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation","KG-RAG: Bridging the Gap Between Knowledge and Creativity","SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation","Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation","G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering","GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning","HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models","Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation","Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph","KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphs","Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning","GraphRunner: A Multi-Stage Framework for Efficient and Accurate Graph-Based Retrieval","Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning","GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases","GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models","KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering","Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation","Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework","GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generation","GRAIL:Learning to Interact with Large Knowledge Graphs for Retrieval Augmented Reasoning","NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes","HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation","GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation","GRAG: Graph Retrieval-Augmented Generation","Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning","ROGRAG: A Robustly Optimized GraphRAG Framework","EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory","PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation","Query-Specific GNN: A Comprehensive Graph Representation Learning Method for Retrieval Augmented Generation","Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation","PropRAG: Guiding Retrieval with Beam Search over Proposition Paths","SG-RAG MOT: SubGraph Retrieval Augmented Generation with Merging and Ordering Triplets for Knowledge Graph Multi-Hop Question Answering","HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning","MIXRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering","DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS","SUBQRAG: Sub-Question Driven Dynamic Graph RAG","Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph","DF-graph: Structured and explainable analysis of communication data for digital forensics","KGRAG-Ex: Explainable Retrieval-Augmented Generation with Knowledge Graph-based Perturbations","Graph Retrieval-Augmented Generation: A Survey","Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering","In-depth Analysis of Graph-based RAG in a Unified Framework","Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization","Knowledge Graph Based Retrieval-Augmented Generation for Multi-Hop Question Answering Enhancement","GraphTrace: A Modular Retrieval Framework Combining Knowledge Graphs and Large Language Models for Multi-Hop Question Answering","PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths","Empowering GraphRAG with Knowledge Filtering and Integration","KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","Paths-over-Graph: Knowledge Graph Enpowered Large Language Model Reasoning"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I am looking for papers on accelerating Large Language Model (LLM) inference speeds. I am specifically interested in algorithmic approaches like Speculative Decoding or Blockwise Parallel Decoding. However, please exclude any papers that primarily achieve acceleration through model compression techniques such as Weight Quantization (e.g., INT8, FP4) or Network Pruning.","answer":["SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding","SpecPipe: Accelerating Pipeline Parallelism-based LLM Inference with Speculative Decoding","AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism","MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding","TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding","Fast Inference from Transformers via Speculative Decoding","Accelerating Large Language Model Decoding with Speculative Sampling","EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty","EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees","Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding","SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification","Interpretable Contrastive Monte Carlo Tree Search Reasoning","Blockwise Parallel Decoding for Deep Autoregressive Models","Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads","OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure","DySpec: Faster Speculative Decoding with Dynamic Token Tree Structure","Dynamic Depth Decoding: Faster Speculative Decoding for LLMs","Graph-Structured Speculative Decoding","S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models","Decoding Speculative Decoding","Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism","Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding","SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration","DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding","Pipeline Parallelism is All You Need for Optimized Early-Exit Based Self-Speculative Decoding","Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference","Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding","REST: Retrieval-Based Speculative Decoding","Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling","CREST: Effectively Compacting a Datastore For Retrieval-Based Speculative Decoding","DReSD: Dense Retrieval for Speculative Decoding","RASD: Retrieval-Augmented Speculative Decoding","SAM Decoding: Speculative Decoding via Suffix Automaton","Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding","Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies","EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test","Speculative Decoding for Multi-Sample Inference","Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment","S^4C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models","Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference","Hierarchical Verification of Speculative Beams for Accelerating LLM Inference","SpecExtend: A Drop-in Enhancement for Speculative Decoding of Long Sequences","Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference","FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling","VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMs","DynaSpec: Context-aware Dynamic Speculative Sampling for Large-Vocabulary Language Models","Acceleration Multiple Heads Decoding for LLM via Dynamic Tree Attention","FastMTP: Accelerating LLM Inference with Enhanced Multi-Token Prediction","Accelerating Transformer Inference for Translation via Parallel Decoding","Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree","Parallel Speculative Decoding with Adaptive Draft Length","SpecTr: Fast Speculative Decoding via Optimal Transport","Block Verification Accelerates Speculative Decoding","Exploring and Improving Drafts in Blockwise Parallel Decoding","Online Speculative Decoding","DistillSpec: Improving Speculative Decoding via Knowledge Distillation","SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths","EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models","Speculative Streaming: Fast LLM Inference without Auxiliary Models","Recurrent Drafter for Fast Speculative Decoding in Large Language Models","Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding","Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding","Accelerated Test-Time Scaling with Model-Free Speculative Sampling","BASS: Batched Attention-optimized Speculative Sampling","GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding","Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion","BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms","ParallelSpec: Parallel Drafter for Efficient Speculative Decoding","LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"Please help me find papers on food trade or changes in carbon emissions due to the Russia-Ukraine conflict, including MRIO-based analysis of trade and simulations of land use change or future multi-scenarios.","answer":["The Russia-Ukraine war decreases food affordability but could reduce global greenhouse gas emissions","Trade scenarios compensating for halted wheat and maize exports from Russia and Ukraine increase carbon emissions without easing food insecurity","Telecoupled impacts of the Russia–Ukraine war on global cropland expansion and biodiversity","Adoption of plant-based diets across Europe can improve food resilience against the Russia–Ukraine conflict","Global environmental impacts of food system from regional shock: Russia-Ukraine war as an example","War's cascading global effects","Cascading socio-economic and financial impacts of the Russia-Ukraine war differ across sectors and regions","High energy and fertilizer prices are more damaging than food export curtailment from Ukraine and Russia for food prices, health and the environment","The impact of Russia-Ukraine conflict on global food security","Global food-miles account for nearly 20% of total food-systems emissions","Disrupted harvests: how Ukraine – Russia war influences global food systems – a systematic review"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Environmental Engineering"}}
{"question":"I am using a large language model to build an environmental extended input-output model calculation script, but different environmental elements such as implied carbon footprint, virtual water footprint, etc. will require different input data. Can you recommend some papers that cover input-output models of multiple environmental elements?","answer":["Integrating ecological and water footprint accounting in a multi-regional input–output framework","Nexus between water-energy-carbon footprint network: Multiregional input-output and coupling coordination degree analysis","Tele-connections, driving forces and scenario simulation of agricultural land, water use and carbon emissions in China's trade","Identifying the key sectors for regional energy, water and carbon footprints from production-, consumption- and network-based perspectives","Carbon, water and land use accounting: Consumption vs production perspectives","Multi-regional input-output and linkage analysis for water-PM2.5 nexus","A highly resolved MRIO database for analyzing environmental footprints and Green Economy Progress","An extended environmental input–output lifecycle assessment model to study the urban food–energy–water nexus","Rethinking environmental stress from the perspective of an integrated environmental footprint: Application in the Beijing industry sector","Water, energy, and carbon dioxide footprints of the construction sector: A case study on developed and developing economies","Mapping urban energy–water–land nexus within a multiscale economy: A case study of four megacities in China","Water-Energy-Carbon Emissions nexus analysis of China: An environmental input-output model-based approach","EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi-Regional Input-Output Tables","Assessing the environmental impacts of EU consumption at macro-scale","Companies on the Scale","Understanding the trends in Denmark's global food trade-related greenhouse gas and resource footprint","USEEIO: A new and transparent United States environmentally-extended input-output model","USEEIO v2.0, The US Environmentally-Extended Input-Output Model v2.0","Analysis of complementary methodologies to assess the environmental impact of Luxembourg's net consumption","Sustainability assessment of U.S. final consumption and investments: triple-bottom-line input–output analysis","Carbon and water footprint accounts of Italy: A Multi-Region Input-Output approach","Product Environmental Life-Cycle Assessment Using Input-Output Techniques","The need to decelerate fast fashion in a hot climate - A global sustainability perspective on the garment industry","Carbon and Materials Embodied in the International Trade of Emerging Economies"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Environmental Engineering"}}
{"question":"Please find papers on training-free model merging that focus on resolving knowledge conflicts in task vectors, adopt parameter-specific trimming strategies (including projection for linear weights and masking for normalization scalers/shifts), and report experimental results on ViT-B/32, ViT-L/14 (vision tasks), RoBERTa (NLP tasks), and BLIP (vision-language tasks).","answer":["CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please help me locate papers on model merging that minimize feature drift via layer-wise task vector fusion, formulate merging as a convex quadratic optimization problem with closed-form solutions for linear/normalization layer parameters, and demonstrate performance improvements on vision (ViT-B/32, ViT-L/14) and vision-language (BLIP) benchmarks.","answer":["Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I need research papers that develop ductile fracture models specifically for magnesium alloys under negative stress triaxiality (η<0) compression-shear loading conditions, where the models must incorporate the tension-compression asymmetry characteristic of HCP materials and include experimental validation from actual compression-shear test scenarios.","answer":["Ductile Fracture Prediction in Mg-ZM51M Alloy Using Inverse-Calibrated Damage Models","Modeling asymmetric fracture mechanics of Mg alloy wire in drawing process","Stress-state dependency of ductile fracture in an extruded magnesium alloy and its underlying mechanisms","Two-component DF2016 criterion to characterize the fracture behavior of magnesium rare-earth alloys"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Please retrieve research papers on the influence of process parameters on joint performance in Solid Self-Piercing Riveting (SSPR) that incorporate both experimental validation and finite element simulation analysis, with the constraint that no discussion of hollow-rivet Self-Piercing Riveting (SPR), hot riveting, or electromagnetic riveting technologies is permitted outside the introduction section.","answer":["The effect of material properties and joining process parameters on behavior of self-pierce riveting joints made with the solid rivet","The failure mechanics analysis of the solid self-piercing riveting joints","Design of aluminium solid self-piercing rivets for joining aluminium sheets by material and geometric modification","Numerical Simulation and Experiment of Self-Piercing Riveting with Solid Rivet Joining Multi-Layer Aluminum Sheets","Self-locking self-pierce riveting: a new self-pierce riveting technology for multi-material applications in lightweight car body structures","Development of a rivet geometry for solid self-piercing riveting of thermally loaded CFRP-metal joints in automotive construction","Mechanical joining of glass fibre reinforced polymer (GFRP) through an innovative solid self-piercing rivet","Adaptation of a solid self-piercing rivet made of aluminum using numerical simulation to extend the application limits","The numerical analysis of the effect of the joining process parameters on self-piercing riveting using the solid rivet"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Please help find peer-reviewed papers published on or before November 1, 2025, which propose Global Flexible Power Point Tracking (GFPPT)/global flexible power control technologies suitable for photovoltaic (PV) arrays under partial shading conditions (under such conditions, PV arrays exhibit a multi-peak power-voltage (P-V) curve due to the presence of bypass diodes). The target papers need only meet one of the following two core requirements: 1. Be able to achieve the global maximum available power (GMPP or P_av) of the PV array under partial shading conditions without being trapped at local power peaks; 2. Be able to regulate the PV array to track a user-defined curtailed active power reference (i.e., Flexible Power Point Tracking, FPPT), namely to meet the operation requirement of P_ref < P_av, including the constant power generation operation mode. Please only select papers that meet all of the following criteria: 1. Clearly elaborate on the control architecture and specific implementation scheme, including the generation method of the Flexible Power Point Tracking (FPPT) reference value and how the converter/inverter control enforces the PV-side operating point to track this reference value; 2. Conduct comparisons with at least one baseline method (such as conventional Maximum Power Point Tracking (MPPT), scan-based Global Maximum Power Point Tracking (GMPP)/Flexible Power Point Tracking (FPPT), etc.) and provide quantitative performance metrics (e.g., tracking error, settling time, and/or energy yield efficiency, etc.).","answer":["Multiple-to-single maximum power point tracking for empowering conventional MPPT algorithms under partial shading conditions","Design and Analysis of an Adaptive Global Maximum Power Point Tracking Algorithm for Enhanced Partial Shading Detection and GMPP Tracking","A High-Performance Global Maximum Power Point Tracker of PV System for Rapidly Changing Partial Shading Conditions","Global Flexible Power Point Tracking in Photovoltaic Systems Under Partial Shading Conditions","Improved Secant-Based Global Flexible Power Point Tracking in Photovoltaic Systems Under Partial Shading Conditions","Global Flexible Power Control of Photovoltaic Systems Under Partial Shading Conditions Based on Direct Multi-Peak P-V Curve-Fitting","Fast global flexible power point tracking of photovoltaic systems under partial shading condition with tracking-affiliated environmental parameter estimation","An enhanced scanning technique for flexible power point tracking under partial shading condition","Model-based flexible power point tracking method for photovoltaic systems under partial shading conditions","Dynamic Reserve Power Point Tracking in Grid-Connected Photovoltaic Power Plants","Power control strategy of PV system for active power reserve under partial shading conditions","A flexible power point tracking algorithm for photovoltaic system under partial shading condition","High Voltage Selective Global Flexible Power Point Tracking for Photovoltaic Systems","Enhancing PV system grid stability through reliable flexible power point tracking under partial shading","Universal Power Point Tracking Using Binary Search: A Multi-Scenario Approach for Photovoltaic Systems","A novel global FPPT strategy for PV system under partial shading condition","Comparative Study of Genetic Algorithms and Particle Swarm Optimization for Flexible Power Point Tracking in Photovoltaic Systems under Partial Shading","Advanced Single-Phase Non-Isolated Microinverter with Time-Sharing Maximum Power Point Tracking Control Strategy","Visual Re-Initialization Model Development Methodology for Solving Problems Regarding Metaheuristic Algorithm-Based MPPT Applications","An adapted model predictive control MPPT for validation of optimum GMPP tracking under partial shading conditions","FPPT and Fixed-Time Sliding Mode Controller for Single-Stage Grid-Integrated PV Systems","Multi-step depth model predictive control for photovoltaic maximum power point tracking under partial shading conditions","Application of a Chaotic Quantum Bee Colony and Support Vector Regression to Multipeak Maximum Power Point Tracking Control Method Under Partial Shading Conditions","Archimedes optimization algorithm (AOA)-Based global maximum power point tracking for a photovoltaic system under partial and complex shading conditions","External Current Source–Based Unilluminated PV Partial Shading Emulation System Verified Through the Hybrid Global Search Adaptive Perturb and Observe MPPT Algorithm","Simulation and experimental validation of fast adaptive particle swarm optimization strategy for photovoltaic global peak tracker under dynamic partial shading","Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions","A comprehensive comparison of advanced metaheuristic photovoltaic maximum power tracking algorithms during dynamic and static environmental conditions","A Novel Hybrid MPPT Technique to Maximize Power Harvesting from PV System under Partial and Complex Partial Shading","Enhancing MPPT Performance in Partially Shaded PV Systems under Sensor Malfunctioning with Fuzzy Control","A novel meta-heuristic optimization algorithm based MPPT control technique for PV systems under complex partial shading condition","Enhanced ANN-Based MPPT for Photovoltaic Systems: Integrating Metaheuristic and Analytical Algorithms for Optimal Performance Under Partial Shading","A direct control based maximum power point tracking method for photovoltaic system under partial shading conditions using particle swarm optimization algorithm","A novel hybrid GWO–PSO-based maximum power point tracking for photovoltaic systems operating under partial shading conditions","Designing a Generic Multi-Modality Processing Adapter for the Practical Implementation of the Photovoltaic Regulated Power Point Tracking under the Partial Shading","Coordinated Power Management and Control of Standalone PV-Hybrid System With Modified IWO-Based MPPT","New perturb and observe algorithm based on trapezoidal rule: Uniform and partial shading conditions","Increased Energy Harvesting from shaded PV power plant using a fast converging Fruit fly Algorithm","A new neuro-fuzzy controller based maximum power point tracking for a partially shaded grid-connected photovoltaic system"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Electrical Engineering"}}
{"question":"I am designing a grid-connected PV system that must be equipped with flexible active power control capability (global maximum power point tracking/constant power generation) to provide grid-support services. Under partial shading conditions, the power-voltage (P–V) curve of the PV array exhibits a multi-peak characteristic, so traditional Flexible Power Point Tracking (FPPT) schemes designed for uniform irradiance conditions may be trapped at a local peak and cannot reliably achieve global maximum power point tracking/constant power generation. Please help find peer-reviewed papers published on or before November 1, 2025, which propose novel Flexible Power Point Tracking (FPPT) schemes to improve the active power control capability of PV systems under partial shading conditions.","answer":["Multiple-to-single maximum power point tracking for empowering conventional MPPT algorithms under partial shading conditions","Design and Analysis of an Adaptive Global Maximum Power Point Tracking Algorithm for Enhanced Partial Shading Detection and GMPP Tracking","A High-Performance Global Maximum Power Point Tracker of PV System for Rapidly Changing Partial Shading Conditions","Enhancing the tracking techniques for the global maximum power point under partial shading conditions","Global Flexible Power Point Tracking in Photovoltaic Systems Under Partial Shading Conditions","Global maximum power point tracking based on ANFIS approach for PV array configurations under partial shading conditions","Improved Secant-Based Global Flexible Power Point Tracking in Photovoltaic Systems Under Partial Shading Conditions","Novel Fast-Speed Partial-Shading-Tolerant Flexible Power Point Tracking for Photovoltaic Systems With Explicit Key Points Estimation","Fast global flexible power point tracking of photovoltaic systems under partial shading condition with tracking-affiliated environmental parameter estimation","An enhanced scanning technique for flexible power point tracking under partial shading condition","Target Voltage Iterations Based Global Flexible Power Point Tracking Algorithm Under Partial Shading Photovoltaic Systems","Model-based flexible power point tracking method for photovoltaic systems under partial shading conditions","Dynamic Reserve Power Point Tracking in Grid-Connected Photovoltaic Power Plants","A novel global FPPT strategy for PV system under partial shading condition","Power control strategy of PV system for active power reserve under partial shading conditions","A flexible power point tracking algorithm for photovoltaic system under partial shading condition","Flexible Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions","Enhancing PV system grid stability through reliable flexible power point tracking under partial shading","A genetic algorithm approach for flexible power point tracking in partial shading conditions","Global Flexible Power Point Tracking Based on Reinforcement Learning for Partially Shaded PV Arrays","Dynamic Global Maximum Power Point Tracking for Partially Shaded PV Arrays in Grid-Connected PV Systems","Robust Maximum Power Point Tracking in PV Generation System: A Hybrid ANN-Backstepping Approach With PSO-GA Optimization","Global MPPT Based on Machine-Learning for PV Arrays Operating under Partial Shading Conditions","Optimized Global Maximum Power Point Tracking of Photovoltaic Systems Based on Rectangular Power Comparison","Metaheuristics Assisted Efficiency Maximizing Flexible Power Point Tracking of a Photovoltaic Array Under the Partial Shading","An effective maximum power point tracking technique for partially shaded photovoltaic system under rapidly changing atmospheric conditions","Global maximum power point tracking for photovoltaic systems under partial and complex shading conditions using a PID based search algorithm (PSA)","An optimal adaptive neuro-fuzzy inference system for photovoltaic power system optimization under partial shading conditions","Priority queue-based switching matrix algorithm for adaptive neuro-fuzzy inference system assisted MPPT controlled PV system","Archimedes optimization algorithm (AOA)-Based global maximum power point tracking for a photovoltaic system under partial and complex shading conditions","Comprehensive Analysis of Improved Hunter–Prey Algorithms in MPPT for Photovoltaic Systems Under Complex Localized Shading Conditions","Experimental investigation of ANFIS-PSO MPPT control with enriched voltage gain DC–DC converter for grid-tied PV applications","Simulation and experimental validation of fast adaptive particle swarm optimization strategy for photovoltaic global peak tracker under dynamic partial shading","Improved Photovoltaic MPPT Algorithm Based on Ant Colony Optimization and Fuzzy Logic Under Conditions of Partial Shading","FPPT and Fixed-Time Sliding Mode Controller for Single-Stage Grid-Integrated PV Systems","Harris hawk optimization-based MPPT control for PV systems under partial shading conditions","A Particle Swarm Optimization–Adaptive Weighted Delay Velocity-Based Fast-Converging Maximum Power Point Tracking Algorithm for Solar PV Generation System","Novel Hybrid Mexican Axolotl Optimization with Fuzzy Logic for Maximum Power Point Tracker of Partially Shaded Photovoltaic Systems","AI-Enhanced MPPT Control for Grid-Connected Photovoltaic Systems Using ANFIS-PSO Optimization","Framework of Maximum Solar Energy Conversion Using Lyapunov‐Based Model Reference Adaptive Control Technique in Stochastic Weather Conditions","Enhanced Maximum Power Point Tracking Using Modified PSO Hybrid With MPC Under Partial Shading Conditions"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Electrical Engineering"}}
{"question":"Provide papers on Time-Domain Thermoreflectance (TDTR) experimental design optimization published before November 2025. I am looking for studies that discuss physical parameter selection such as spot size or transducer thickness based on sensitivity analysis. Exclude papers that solely introduce data fitting software or GUI toolkits without discussing the underlying physical design optimization.","answer":["Time-domain thermoreflectance (TDTR) measurements of anisotropic thermal conductivity using a variable spot size approach","A new elliptical-beam method based on time-domain thermoreflectance (TDTR) to measure the in-plane anisotropic thermal conductivity and its comparison with the beam-offset method","Accurate measurements of cross-plane thermal conductivity of thin films by dual-frequency time-domain thermoreflectance (TDTR)","Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis","Simultaneous measurement of thermal conductivity, heat capacity, and interfacial thermal conductance by leveraging negative delay-time data in time-domain thermoreflectance","Thermal Boundary Resistance in GaN Films Measured by Time Domain Thermoreflectance with Robust Monte Carlo Uncertainty Estimation","Anisotropic thermal conductivity measurement using a new Asymmetric-Beam Time-Domain Thermoreflectance (AB-TDTR) method","An accurate method to determine nano-film thickness in diamond anvil cells for time domain thermoreflectance measurements"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Engineering Thermophysics"}}
{"question":"Please provide papers published in Applied Energy that study both district cooling and safe reinforcement learning. The papers should be released before the November of 2025.","answer":["Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods","District cooling system control for providing regulation services based on safe reinforcement learning with barrier functions","Voltage control of distribution grid with district cooling systems based on scenario-classified reinforcement learning"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Energy and Power"}}
{"question":"Please find papers published before 1 Nov 2025 that use self-supervised learning (SSL) on longitudinal retinal OCT data (multiple visits per eye) to predict age-related macular degeneration progression within an explicit future time window. The SSL method must exploit temporal information during pretraining and the paper must report quantitative results on an AMD progression prediction downstream task.","answer":["Morph-SSL: self-supervision with longitudinal morphing for forecasting AMD progression from OCT volumes","TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes","Modeling Disease Progression in Retinal OCTs with Longitudinal Self-Supervised Learning","3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs","Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT","Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Could you help find papers (published before 1 Nov 2025) on federated learning for diabetic retinopathy detection or severity grading from color fundus photographs, where training is performed across at least three distinct data silos, raw images are not centralized, and the paper compares the federated model against a centralized-training baseline. Please exclude works that only simulate clients by randomly splitting a single dataset without any center or dataset distinction.","answer":["Federated Transfer Learning For Diabetic Retinopathy Detection Using CNN Architectures","Federated Learning for Diabetic Retinopathy Detection in a Multi-center Fundus Screening Network","Federated Learning for Diabetic Retinopathy Detection Using Vision Transformers","Federated Learning for Diabetic Retinopathy Diagnosis: Enhancing Accuracy and Generalizability in Under-Resourced Regions","FedDL: personalized federated deep learning for enhanced detection and classification of diabetic retinopathy"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Please help me find research articles on the role of integrative Chinese and Western medicine in neurodegenerative diseases and aging that include clinical trials from the past decade and scientific discoveries in delaying the aging process. The studies should focus on Traditional Chinese Medicine (TCM) interventions (such as herbal formulations like Liuwei Dihuang decoction, acupuncture, and mind-body therapies), Western pharmacological approaches (including mitochondrial antioxidants like ALCAR+LA, HSP70 modulators, and conventional neuroprotective agents), and combined therapeutic strategies. The research should cover age-related cognitive decline, Alzheimer's disease, Parkinson's disease, and other neurodegenerative conditions, with emphasis on mechanisms involving mitochondrial function, oxidative stress reduction, neurogenesis, and the microbiota-gut-brain axis。","answer":["Hekun decoction versus Femoston for women with amnestic mild cognitive impairment in early menopause: a randomized, three-arm, double-blind clinical trial","Comparison of Donepezil, Memantine, Melatonin, and Liuwei Dihuang Decoction on Behavioral and Immune Endocrine Responses of Aged Senescence-Accelerated Mouse Resistant 1 Mice","Kaixin San Jiawei granule improves cognitive function and alleviates neuronal damage in Alzheimer’s disease via multi-component and multi-target mechanisms","Liuwei Dihuang Decoction Alleviates Cognitive Dysfunction in Mice With D-Galactose-Induced Aging by Regulating Lipid Metabolism and Oxidative Stress via the Microbiota-Gut-Brain Axis","Dihuang-Yinzi Alleviates Cognition Deficits via Targeting Energy-Related Metabolism in an Alzheimer Mouse Model as Demonstrated by Integration of Metabolomics and Network Pharmacology","Randomized controlled trial of Bushen Yinao pill combined with conventional therapy on intestinal flora and cognitive function in older patients with Alzheimer's disease","Dengzhan shengmai capsule combined with donepezil hydrochloride in the treatment of Alzheimer's disease: preliminary findings, randomized and controlled clinical trial","Efficacy evaluation and metabolomics analysis of Huanglian Jiedu decoction in combination with donepezil for Alzheimer's disease treatment","Modulation of Brain Activity and Functional Connectivity by Acupuncture Combined With Donepezil on Mild-to-Moderate Alzheimer's Disease: A Neuroimaging Pilot Study","Combined therapy of Di-Huang-Yi-Zhi with Donepezil in patients with Parkinson's disease dementia","Pingchan Granule for Motor Symptoms and Non-Motor Symptoms of Parkinson's Disease: A Randomized, Double-Blind, Placebo-Controlled Study","Zishenpingchan granules for the treatment of Parkinson's disease: a randomized, double-blind, placebo-controlled clinical trial","Efficacy and safety of Tianqi Pingchan Granule, a compound Chinese herbal medicine, for levodopa-induced dyskinesia in Parkinson's disease: A randomized double-blind placebo-controlled trial","Multi-dimensional analysis on Parkinson's disease questionnaire-39 in Parkinson's patients treated with Bushen Huoxue Granule: A multicenter, randomized, double-blinded and placebo controlled trial","Zishen pingchan granules combined with pramipexole in the improvement of depressive symptoms in Parkinson's disease: a prospective, multicenter, randomized, double-blind, controlled clinical study"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Could you help check whether there are any papers that investigate integrative Chinese and Western medicine not for general cardiac diseases but rather specifically for heart failure that include clinical trials from the past decade and scientific discoveries in myocardial vitality restoration? These studies should focus on Traditional Chinese Medicine interventions such as herbal formulations (e.g., Qili Qiangxin, Shenmai) and acupuncture combined with Western pharmacological approaches, with emphasis on mechanisms involving myocardial regeneration, contractile function improvement, ventricular remodeling reversal, and mitochondrial energy metabolism enhancement.","answer":["The traditional Chinese medicine Qiliqiangxin in heart failure with reduced ejection fraction: a randomized, double-blind, placebo-controlled trial","Qili Qiangxin ameliorates chronic heart failure: a randomized clinical trial of biomarkers, inflammation, and cardiac outcomes","The effects of qishen granules for patients with chronic heart failure: A multicenter randomized double-blind placebo-controlled trial","Shenmai Injection Improves Energy Metabolism in Patients With Heart Failure: A Randomized Controlled Trial","A randomized, double-blind, multicenter, placebo-controlled clinical study on the efficacy and safety of Shenmai injection in patients with chronic heart failure","Qiliqiangxin: A multifaceted holistic treatment for heart failure or a pharmacological probe for the identification of cardioprotective mechanisms?","Natural Metabolites Used in Traditional Chinese Medicine for Cardiovascular Diseases: Pharmacological Mechanisms, Evidence, and Future Directions","Study protocol for a randomized controlled trial: Qiliqiangxin in heart failUre: assESsment of reduction in morTality (QUEST)","Qiliqiangxin Capsules Optimize Cardiac Metabolism Flexibility in Rats With Heart Failure After Myocardial Infarction","Clinical Effect of Qili Qiangxin Capsule Combined with Sacubitril-Valsartan in Patients with Chronic Heart Failure","Qiliqiangxin Improves Cardiac Function through Regulating Energy Metabolism via HIF-1 α -Dependent and Independent Mechanisms in Heart Failure Rats after Acute Myocardial Infarction","Traditional Chinese Medicine Intervenes Ventricular Remodeling Following Acute Myocardial Infarction: Evidence From 40 Random Controlled Trials With 3, 659 Subjects","Study protocol: Traditional Chinese Medicine (TCM) syndrome differentiation for heart failure patients and its implication for long-term therapeutic outcomes of the Qiliqiangxin capsules","Efficacy of Dialectical Comprehensive Treatment of Traditional Chinese Medicine in Patients with Chronic Stable Heart Failure: A Randomized Controlled Trial","Effects of multifaceted optimization management for chronic heart failure: a multicentre, randomized controlled study","Effect of co-administration of Linggui zhugan decoction and Western medicine on inflammatory cytokines, and immune and cardiac functions of patients with chronic heart failure","Randomized, Double-Blinded, Multicenter, Placebo-Controlled Trial of Shenfu Injection for Treatment of Patients with Chronic Heart Failure during the Acute Phase of Symptom Aggravation (Yang and Qi Deficiency Syndrome)"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Please find papers on parameter-efficient fine-tuning (PEFT) for large language models that adopt SVD-based initialization for low-rank adapters, compare performance with LoRA/QLoRA across models of 7B-70B parameters (including LLaMA-2, Mistral, Gemma), and report results on NLG tasks (GSM8K, MATH, HumanEval) and NLU tasks (GLUE benchmark).","answer":["PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models","LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"Please help locate papers that investigate the effect of SVD-based weight pruning on in-context learning (ICL) performance of Transformers, analyze layer-wise differences (shallow vs. deep layers) in pruning stability, and provide theoretical explanations via implicit gradient descent trajectories and mutual information-based generalization bounds.","answer":["Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I'm researching deep reinforcement learning approaches for joint task scheduling and resource allocation in computing power networks. Please help me find papers that: (1) propose actor-critic based DRL methods such as A3C, PPO, DDPG, or SAC, (2) specifically address dynamic scheduling in edge-cloud collaborative environments or distributed computing power networks, (3) optimize multiple objectives including at least makespan and energy efficiency, (4) provide experimental results comparing against traditional heuristic algorithms like Round Robin, Min-Min, or HEFT, and (5) were published between January 2023 and October 2025.","answer":["Reinforcement learning methods for computation offloading: a systematic review","Enhanced DDPG algorithm for latency and energy-efficient task scheduling in MEC systems","Multi-Objective Prioritized Task Scheduler Using Improved Asynchronous Advantage Actor Critic (a3c) Algorithm in Multi Cloud Environment","Hybrid Edge-Cloud Collaborator Resource Scheduling Approach Based on Deep Reinforcement Learning and Multiobjective Optimization","TF-DDRL: A Transformer-Enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments","Energy-Efficient Dynamic Workflow Scheduling in Cloud Environments Using Deep Learning","FAMASO: fog-adaptive multi-agent scheduling optimization","Joint Scheduling and Placement for Vehicular Intelligent Applications Under QoS Constraints: A PPO-Based Precedence-Preserving Approach","Hybrid quantum-enhanced reinforcement learning for energy-efficient resource allocation in fog-edge computing","Research on task offloading optimization strategies for vehicular networks based on game theory and deep reinforcement learning","Energy-saving Service Offloading for the Internet of Medical Things Using Deep Reinforcement Learning","Priority-Aware Task Scheduling in Computing Power Network-Enabled Edge Computing Systems","Utility-Driven End-to-End Network Slicing for Diverse IoT Users in MEC: A Multi-Agent Deep Reinforcement Learning Approach","Multi-objective scheduling of cloud-edge cooperation in distributed manufacturing via multi-agent deep reinforcement learning","Deep Reinforcement Learning Task Scheduling Method for Real-Time Performance Awareness","Telemetry-aided cooperative multi-agent online reinforcement learning for DAG task scheduling in computing power networks","A cloud edge resources scheduling method based on reinforcement learning in industrial internet of things","Cloud–edge collaboration task scheduling in cloud manufacturing: An attention-based deep reinforcement learning approach","Analysis of Deep Reinforcement Learning Algorithms for Task Offloading and Resource Allocation in Fog Computing Environments","Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I need papers that use hybrid evolutionary-reinforcement learning approaches for task offloading and resource provisioning in computing power networks. The methods should combine evolutionary algorithms (like NSGA-II, MOEA/D, or SPEA2) with reinforcement learning techniques. Requirements: (1) target edge computing or computing power network scenarios with heterogeneous nodes, (2) consider at least three conflicting objectives such as latency, energy consumption, and quality of service, (3) include real-world workload traces or standard benchmarks in experiments. However, please exclude papers that focus solely on vehicular networks or IoT sensor networks, and exclude pure survey papers without proposing new methods. Papers from 2022 to October 2025 preferred.","answer":["Evolutionary Multi-Objective Deep Reinforcement Learning for Task Offloading in Industrial Internet of Things","Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey","Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing","Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing","QHRMOF: A Quantum-Inspired hybrid Multi-Objective framework for Energy-Efficient task scheduling and load balancing in cloud computing","Scalable and Energy-Efficient Service Orchestration in the Edge-Cloud Continuum With Multi-Objective Reinforcement Learning","A Collaborative Migration Algorithm for Edge Services Based on Evolutionary Reinforcement Learning","Learning-Based Deadlock-Free Multi-Objective Task Offloading in Satellite Edge Computing With Data-Dependent Constraints and Limited Buffers","An Intelligent Scheduling Strategy in Fog Computing System Based on Multi-Objective Deep Reinforcement Learning Algorithm","Energy–latency tradeoffs edge server selection and DQN-based resource allocation schemes in MEC","Data transmission optimization in edge computing using multi-objective reinforcement learning","Snake swarm optimization‐based deep reinforcement learning for resource allocation in edge computing environment","SPMOO: A Multi-Objective Offloading Algorithm for Dependent Tasks in IoT Cloud-Edge-End Collaboration","Deep reinforcement learning-based edge computing offloading algorithm for software-defined IoT","Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer","Adaptive Service Recommendation in Internet of Things Using a Reinforcement Learning and Optimization Algorithm","Energy-efficient offloading based on hybrid bio-inspired algorithm for edge-cloud integrated computation","Delay-Aware and Energy-Efficient Task Scheduling Using Strength Pareto Evolutionary Algorithm II in Fog-Cloud Computing Paradigm"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I want to do research on the relationship between neonatal diseases and facial recognition, voice recognition and bowel sound recognition, and help me search for the literature in this area in recent 10 years","answer":["CLINICAL VALIDATION OF SWAASA ARTIFICIAL INTELLIGENCE PLATFORM USING COUGH SOUNDS FOR SCREENING AND DIAGNOSIS OF RESPIRATORY DISEASES","A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision","Disclosing neonatal pain in real-time: AI-derived pain sign from continuous assessment of facial expressions","Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment","Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation","Multimodal neonatal procedural and postoperative pain assessment dataset","Video-based neonatal pain assessment in uncontrolled conditions","Convolutional Neural Network for Neonatal Pain Assessment","Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN)","Multi-Channel Neural Network for Assessing Neonatal Pain from Videos","First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain","Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification","Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification","Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds","Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals","Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks","Evaluating neonatal pain via fusing vision transformer and concept-cognitive computing","Automatic Infants’ Pain Assessment by Dynamic Facial Representation: Effects of Profile View, Gestational Age, Gender, and Race","Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions","A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases","Machine-based Multimodal Pain Assessment Tool for Infants: A Review","Automated Pain Assessment in Neonates","An Approach for Automated Multimodal Analysis of Infants' Pain","Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from gaussian of local descriptors","A Video Database of Neonatal Facial Expression based on Painful Clinical Procedures","Infant Cry Signal Diagnostic System Using Deep Learning and Fused Features","Newborn Cry-Based Diagnostic System to Distinguish between Sepsis and Respiratory Distress Syndrome Using Combined Acoustic Features","Deep learning systems for automatic diagnosis of infant cry signals","Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia","Harnessing Infant Cry for swift, cost-effective Diagnosis of Perinatal Asphyxia in low-resource settings","Cry-based infant pathology classification using GMMs","Deep Learning Assisted Neonatal Cry Classification via Support Vector Machine Models","Deep Learning for Infant Cry Recognition","Infant Cry Classification with Graph Convolutional Networks","Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification","Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection","Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model","Machine learning-based diagnostic model for neonatal intestinal diseases in multiple centres: a cross-sectional study protocol","Comparison of simultaneous auscultation and ultrasound for clinical assessment of bowel peristalsis in neonates","Infant Facial Expression Analysis: Towards a Real-Time Video Monitoring System Using R-CNN and HMM","Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment","How can cry acoustics associate newborns' distress levels with neurophysiological and behavioral signals?","Multi-modal analysis of infant cry types characterization: Acoustics, body language and brain signals","Application of Voice Recognition Technology for Early Detection of Respiratory Disorders in Premature Babies","Video-based discomfort detection for infants","Analyzing neonatal vocal expression: Methological approaches to identifying neurological and psychiatric signatures","Future roles of artificial intelligence in early pain management of newborns","Application of Texture Descriptors to Facial Emotion Recognition in Infants","Comparative analysis of artificial intelligence and expert assessments in detecting neonatal procedural pain","Automatic Neonatal Pain Estimation: An Acute Pain in Neonates Database","Facial recognition accuracy in photographs of Thai neonates with Down syndrome among physicians and the Face2Gene application","Pain Assessment in Neonatal Clinical Practice Via Facial Expression Analysis and Deep Learning","Neonatal procedural pain can be assessed by computer software that has good sensitivity and specificity to detect facial movements","A self-training automatic infant-cry detector","AI FOR INFANT WELL-BEING: ADVANCED TECHNIQUES IN CRY INTERPRETATION AND MONITORING","Video-Based Versus On-Site Neonatal Pain Assessment in Neonatal Intensive Care Units: The Impact of Video-Based Neonatal Pain Assessment in Real-World Scenario on Pain Diagnosis and Its Artificial Intelligence Application","Evaluating New Set of Acoustical Features for Cry Signal Classification","Listening deeper: neural networks unravel acoustic features in preterm infant crying","Utilizing Infant Cry Acoustics to Determine Gestational Age","The significance of an infant's cry: a narrative review of physiological, pathological, and analytical perspectives","Automated Assessment of Children’s Postoperative Pain Using Computer Vision"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Help me find the research literature on the relationship between disease and facial recognition or voice recognition in children or newborns in the past ten years","answer":["Review on facial-recognition-based applications in disease diagnosis","Robust autism spectrum disorder screening based on facial images (for disability diagnosis): a domain-adaptive deep ensemble approach","Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural network for autism children","An assessment of dynamic facial emotion recognition and theory of Mind in children with ADHD: an eye-tracking study","A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision","Disclosing neonatal pain in real-time: AI-derived pain sign from continuous assessment of facial expressions","Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment","Video-Based Neonatal Pain Assessment in Uncontrolled Conditions","Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation","Multimodal neonatal procedural and postoperative pain assessment dataset","First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain","Multi-Channel Neural Network for Assessing Neonatal Pain from Videos","Convolutional Neural Network for Neonatal Pain Assessment","Pain Assessment From Facial Expression: Neonatal Convolutional Neural Network (N-CNN)","Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound","Video-Based versus On-Site Neonatal Pain Assessment in Neonatal Intensive Care Units: The Impact of Video-Based Neonatal Pain Assessment in Real-World Scenario on Pain Diagnosis and Its Artificial Intelligence Application","A Video Database of Neonatal Facial Expression based on Painful Clinical Procedures","A Deep Learning Approach for Infant Pain Assessment Using Facial Expressions Through Convolutional Neural Network","Automatic Infants’ Pain Assessment by Dynamic Facial Representation: Effects of Profile View, Gestational Age, Gender, and Race","Infants' Pain Recognition Based on Facial Expression: Dynamic Hybrid Descriptions","A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases","Automated Pain Assessment in Neonates","An Approach for Automated Multimodal Analysis of Infants' Pain","Neonatal pain assessment: Do we have the right tools?","Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units","Neonatal Face and Facial Landmark Detection from Video Recordings","Infant Cry Signal Diagnostic System Using Deep Learning and Fused Features","Newborn Cry Acoustics in the Assessment of Neonatal Opioid Withdrawal Syndrome Using Machine Learning","Newborn Cry-Based Diagnostic System to Distinguish between Sepsis and Respiratory Distress Syndrome Using Combined Acoustic Features","Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia","Harnessing Infant Cry for swift, cost-effective Diagnosis of Perinatal Asphyxia in low-resource settings","Automatic Cry Analysis: Deep Learning for Screening of Autism Spectrum Disorder in Early Childhood","A Narrative Review on Different Novel Machine Learning Techniques for Detecting Pathologies in Infants From Born Baby Cries","Cry-based infant pathology classification using GMMs","InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries","A Study of Deep Learning Models for Audio Classification of Infant Crying in a Baby Monitoring System","Automated Cough Sound Analysis for Detecting Childhood Pneumonia","Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron","iMedic: Towards Smartphone-based Self-Auscultation Tool for AI-Powered Pediatric Respiratory Assessment","A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model","Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review","Artificial Intelligence Models for Pediatric Lung Sound Analysis: Systematic Review and Meta-Analysis","Identifying facial phenotypes of genetic disorders using deep learning","DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning","GestaltMatcher: Overcoming the limits of rare disease matching using facial phenotypic descriptors","Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study","Computer-aided facial analysis as a tool to identify patients with Silver-Russell syndrome and Prader-Willi syndrome","GestaltMML: Enhancing Rare Genetic Disease Diagnosis through Multimodal Machine Learning Combining Facial Images and Clinical Texts","Association in Facial Phenotype, Gene, Disease: A Dataset for Explainable Rare Genetic Diseases Diagnosis","Automatic Detection of Autism Spectrum Disorder in Children Using Acoustic and Text Features from Brief Natural Conversations","Analysis and classification of speech sounds of children with autism spectrum disorder using acoustic features","An Acoustic Characterization of Prosodic Differences in Autism Spectrum Disorder and First-Degree Relatives","Detecting Autism Spectrum Disorders with Machine Learning Models Using Speech Transcripts","Autism Speech Analysis using Acoustic Features","Diagnosis of Autism in Children using Facial Analysis and Deep Learning","A Two-stage Multi-modal Affect Analysis Framework for Children with Autism Spectrum Disorder","Face-Based Attention Recognition Model for Children with Autism Spectrum Disorder","Real-time facial emotion recognition system among children with autism based on deep learning and IoT","Facial expression recognition is linked to clinical and neurofunctional differences in autism","Exploring Machine Learning Approaches for Diagnosing Autism Spectrum Disorder: Insights from Clinical and Technological Approaches","A Scoping Review of AI-Based Approaches for Detecting Autism Traits Using Voice and Behavioral Data","Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment","Deep Learning for Autism Diagnosis and Facial Analysis in Children","Application of the Face2Gene tool in an Italian dysmorphological pediatric clinic: Retrospective validation and future perspectives","A cry for help: Early detection of brain injury in newborns","Deep-Learning-Based Detection of Infants with Autism Spectrum Disorder Using Auto-Encoder Feature Representation","Early Detection of Autism Spectrum Disorder in Pediatric Populations using Facial Feature Analysis","Automated ASD detection in children from raw speech using customized STFT-CNN model","Empirical Study of Autism Spectrum Disorder Diagnosis Using Facial Images by Improved Transfer Learning Approach","Voice as a Biomarker of Pediatric Health: A Scoping Review","Screening Children's Intellectual Disabilities with Phonetic Features, Facial Phenotype and Craniofacial Variability Index","A Review of Artificial Intelligence-Based Down Syndrome Detection Techniques","Quantifying Voice Characteristics for Detecting Autism","Video-based discomfort detection for infants","Deep Learning-Powered Down Syndrome Detection Using Facial Images","Optimization and evaluation of facial recognition models for Williams-Beuren syndrome","GestaltMatcher facilitates rare disease matching using facial phenotype descriptors","Wireless broadband acousto-mechanical sensing system for continuous physiological monitoring","Future perspectives of heart rate and oxygenation monitoring in the neonatal intensive care unit – a narrative review","Feasibility and basic acoustic characteristics of intelligent long-term bowel sound analysis in term neonates "],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Please help me find research papers published between January 2023 and November 1, 2025, on all-polymer solar cells (all-PSCs). The active layer must utilize PM6 as the polymer donor and a polymerized small molecule acceptor (PSMA) (e.g., PY-series or L-series) as the acceptor. The papers must explicitly report a Power Conversion Efficiency (PCE) exceeding 17%. Please exclude review articles.","answer":["A Refined Bulk P–I–N Structure in All-Polymer Solar Cells To Achieve 20.1% Efficiency and Improved Stability","Optimizing the power conversion processes in diluted donor/acceptor heterojunctions towards 19.4% efficiency all-polymer solar cells","Binary all-polymer solar cells with 19.30% efficiency enabled by bromodibenzothiophene-based solid additive","In-situ understanding on the formation of fibrillar morphology in green solvent processed all-polymer solar cells","19.1% efficiency all-polymer solar cells enabled by solvent and solid additives","All-polymer organic solar cells with nano-to-micron hierarchical morphology and large light receiving angle","Delayed Crystallization Kinetics Allowing High-Efficiency All-Polymer Photovoltaics with Superior Upscaled Manufacturing","Asymmetrified Benzothiadiazole-Based Solid Additives Enable All-Polymer Solar Cells with Efficiency Over 19","Isomerized Green Solid Additive Engineering for Thermally Stable and Eco-Friendly All-Polymer Solar Cells with Approaching 19% Efficiency","An efficient alkoxy-substituted polymer acceptor for efficient all-polymer solar cells with low voltage loss and versatile photovoltaic applications","Over 18.2% efficiency of layer–by–layer all–polymer solar cells enabled by homoleptic iridium(III) carbene complex as solid additive","Binary All-polymer Solar Cells with a Perhalogenated-Thiophene-Based Solid Additive Surpass 18% Efficiency","Over 18% Efficiency of All-Polymer Solar Cells with Long-Term Stability Enabled by Y6 as a Solid Additive","Over 18% efficiency ternary all-polymer solar cells with high photocurrent and fill factor","Improved Molecular Ordering in a Ternary Blend Enables All-Polymer Solar Cells over 18% Efficiency","A nonfullerene acceptor as a solid additive realizing a record efficiency of 17.74% in quasi-layered all-polymer solar cells","Improving the aggregation of layer-by-layer processed all-polymer solar cells with an additive during the film deposition and thermal annealing","Over 17.4% Efficiency of Layer-by-Layer All-Polymer Solar Cells by Improving Exciton Utilization in Acceptor Layer","High performance all-polymer solar cells enabled with solvent and solid dual additives","Oligomeric Acceptor Enables High-Performance and Robust All-Polymer Solar Cells with 17.4% Efficiency","Binary all-polymer solar cells with efficiency over 17% by fine-tuning halogenated thiophene linkers of polymer acceptors","Over 17.1% or 18.2% Efficiency of Layer-by-Layer All-Polymer Solar Cells via Incorporating Efficient Pt Complexes as Energy Donor Additive","18.2%-efficient ternary all-polymer organic solar cells with improved stability enabled by a chlorinated guest polymer acceptor","Manipulating Polymer Backbone Configuration Via Halogenated Asymmetric End‐Group Enables Over 18% Efficiency All‐Polymer Solar Cells","High efficiency and thermally stable ternary all-polymer solar cells achieved by alloyed vinyl-linked polymerized small-molecule acceptors","Toluene Processed All‐Polymer Solar Cells with 18% Efficiency and Enhanced Stability Enabled by Solid Additive: Comparison Between Sequential‐Processing and Blend‐Casting","Improved photovoltaic performance and robustness of all-polymer solar cells enabled by a polyfullerene guest acceptor","Non-fused Polymerized Small-Molecule Acceptors with a Benzothiadiazole Core for All-Polymer Solar Cells"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"I am looking for papers on n-type conjugated polymers designed for Organic Electrochemical Transistors (OECTs) application. The papers should be published before November 1, 2025. I specifically want to find novel backbone structures; therefore, you must exclude any papers where the polymer backbone is based on Naphthalene Diimide (NDI) or BBL (poly(benzimidazobenzophenanthroline)). The papers should demonstrate high electron mobility μ or μC* products.","answer":["Polyethylene glycol-decorated n-type conducting polymers with improved ion accessibility for high-performance organic electrochemical transistors","Molar Mass Improves the Performance of n-Type Organic Electrochemical Transistors","Strong Proquinoidal Acceptor Enables High-Performance Ambipolar Organic Electrochemical Transistors","Matching P- and N-type Organic Electrochemical Transistor Performance Enables a Record High-gain Complementary Inverter","Polythiophenes for High-Performance N-type Organic Electrochemical Transistors","Regiochemistry and Side-Chain Engineering Enable Efficient N-Type Mixed Conducting Polymers","On-site biosignal amplification using a single high-spin conjugated polymer","Switching p-type to high-performance n-type organic electrochemical transistors via doped state engineering","Improved Stability and Performance of an n-Type Depletion Mode Poly(benzodifurandione) Based Organic Electrochemical Transistor via Electrolyte Selection","Fused Bithiophene Imide Dimer-Based n-Type Polymers for High-Performance Organic Electrochemical Transistors","Donor Engineering for High Performance n-Type OECT Materials with Exceptional Operational Stability","Ultra-Low Threshold Voltage in N-Type Organic Electrochemical Transistors Enabled by Organic Mixed Ionic-Electronic Conductors with Dual Electron-Withdrawing Substitutions","n-Type Organic Electrochemical Transistors with High Transconductance and Stability","Revealing the Role of Polaron Distribution on the Performance of n-Type Organic Electrochemical Transistors","Synthetic Nuances to Maximize n-Type Organic Electrochemical Transistor and Thermoelectric Performance in Fused Lactam Polymers","Influence of Interaction between Electrolyte with Side-Chain Free Conjugated Polymer on the Performance of Organic Electrochemical Transistors","Acceptor Functionalization via Green Chemistry Enables High‐Performance n‐Type Organic Electrochemical Transistors for Biosensing, Memory Applications","Selenophene Substitution Enabled High‐Performance N‐Type Polymeric Mixed Ionic‐Electronic Conductors for Organic Electrochemical Transistors and Glucose Sensors","Fused Bithiophene Imide Dimer‐Based n‐Type Polymers for High‐Performance Organic Electrochemical Transistors","n ‐Type Rigid Semiconducting Polymers Bearing Oligo(Ethylene Glycol) Side Chains for High‐Performance Organic Electrochemical Transistors","Green Synthesis of Lactone‐Based Conjugated Polymers for n‐Type Organic Electrochemical Transistors","Indacenodithiophene‐based single‐component ambipolar polymer for high‐performance vertical organic electrochemical transistors and inverters","High‐Performance, Single‐Component Ambipolar Organic Electrochemical Transistors with Balanced n/p‐Type Properties for Inverter and Biosensor Applications","N-type organic electrochemical transistors with stability in water","Polythiophenes for High‐Performance N‐type Organic Electrochemical Transistors","Stable n‐type perylene derivative ladder polymer with antiambipolarity for electrically reconfigurable organic logic gates"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Could you help me find some papers on hull stress field identification and wave elevation reconstruction, including full-scale ship validation experiments as well as simulations conducted via finite element or numerical methods? These methods should take hull motion signals or hull structural responses as inputs.","answer":["An Inverse FEM for Structural Health Monitoring of a Containership: Sensor Network Optimization for Accurate Displacement, Strain, and Internal Force Reconstruction","Data-Driven Estimations of Response Transfer Functions of a Marine Vessel and Phase-Resolved Incident Waves","Kalman filter technique for estimating encountered wave profiles and unmeasured ship responses using measurement data in short-crested irregular waves","Estimation of encountered wave elevation sequences based on response measurements in multi-directional seas","End-to-end deep learning method to reconstruct full-field stress distribution for ship hull structure with stress concentrations","A data-driven approach to full-field stress reconstruction of ship hull structure using deep learning","Real-time inverse estimation of multi-directional random waves from vessel-motion sensors using Kalman filter","A Laplace domain method for estimating wave elevation from the transient motion responses of floating structures","Estimation of directional sea spectra from ship motions in sea trials","Real-Time Inverse Estimation of Ocean Wave Spectra from Vessel-Motion Sensors Using Adaptive Kalman Filter","Kalman filtering of vessel motions for ocean wave directional spectrum estimation","A digital twin for ship structures—R&D project in Japan","Towards improved understanding of naval ship structural performance via virtual hull monitoring","VIRTUAL HULL MONITORING: CONTINUOUS FATIGUE ASSESSMENT WITHOUT ADDITIONAL INSTRUMENTATION","Virtual hull monitoring using hindcast and motion data to assess frigate-size vessel stress response","Virtual hull monitoring of a naval vessel using hindcast data and reconstructed 2-D wave spectra","Estimation of directional wave spectra and hull structural responses based on measured hull data on 14,000 TEU large container ships","Accuracy verification of the 2D spectral AIS method by the hull monitoring data","Response and fatigue assessment of high speed aluminium hulls using short-term wireless hull monitoring","Sea state estimation using monitoring data by convolutional neural network (CNN)","A stress component analysis method for hull structural monitoring","A reconstruction method of stress fields, bending moments and wave parameters for floating nuclear power plants through regular wave identification","Real-time prediction of wave-induced hull girder loads for a large container ship based on the recurrent neural network model and error correction strategy","Live reconstruction of global loads on a powerboat using local strain FBG measurements","A High-Precision Inverse Finite Element Method for Shape Sensing and Structural Health Monitoring","Identification of slam events experienced by a high-speed craft","Development of a Shipboard Remote Control and Telemetry Experimental System for Large-Scale Model’s Motions and Loads Measurement in Realistic Sea Waves"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Ship Engineering"}}
{"question":"I am using the sensors mounted on the hull to reconstruct the hull stress field and the wave height where the ship is located. However, how to utilize the ship hull motion response and structural response has become a problem. Could you recommend some papers on how to identify the wave field and stress field using motion signals and strain signals?","answer":["An Inverse FEM for Structural Health Monitoring of a Containership: Sensor Network Optimization for Accurate Displacement, Strain, and Internal Force Reconstruction","Data-Driven Estimations of Response Transfer Functions of a Marine Vessel and Phase-Resolved Incident Waves","Estimating waves via measured ship responses","Kalman filter technique for estimating encountered wave profiles and unmeasured ship responses using measurement data in short-crested irregular waves","Estimation of encountered wave elevation sequences based on response measurements in multi-directional seas","End-to-end deep learning method to reconstruct full-field stress distribution for ship hull structure with stress concentrations","A data-driven approach to full-field stress reconstruction of ship hull structure using deep learning","Real-time inverse estimation of multi-directional random waves from vessel-motion sensors using Kalman filter","Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks","Ship as a buoy for phase-resolved ocean wave field reconstruction and forecast","Real-Time Inverse Estimation of Ocean Wave Spectra from Vessel-Motion Sensors Using Adaptive Kalman Filter","Kalman filtering of vessel motions for ocean wave directional spectrum estimation","Wave-field reconstruction using stereo cameras on a floating platform in a synthetic environment","A reconstruction method of stress fields, bending moments and wave parameters for floating nuclear power plants through regular wave identification","Real-Time Wave Identification for Stationary Marine Units: A Deep Transfer Learning Approach With Adaptive Windowing","A digital twin for ship structures—R&D project in Japan","Deep-learning-enhanced digital twinning of complex composite structures and real-time mechanical interaction","Slam and wave load response reconstruction in high speed catamarans using transmissibility on full scale sea trials","Sea state estimation using monitoring data by convolutional neural network (CNN)","Virtual hull monitoring of a naval vessel using hindcast data and reconstructed 2-D wave spectra","Sea state identification using machine learning—A comparative study based on in-service data from a container vessel","Reconstruction of incident wave profiles based on short-time ship response measurements","Sea state estimation based on the motion data of a moored FPSO using neural networks: An evaluation with multiple draft conditions","Estimation of sea state parameters by the wave buoy analogy with comparisons to third generation spectral wave models","Data-driven simultaneous identification of the 6DOF dynamic model and wave load for a ship in waves","Sea state estimation using multiple ships simultaneously as sailing wave buoys","Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks","Uncertainty-associated directional wave spectrum estimation from wave-induced ship responses using Machine Learning methods","Reconstruction and prediction of global whipping responses on a large cruise ship based on LSTM neural networks","Assessing an Improved Bayesian Model for Directional Motion Based Wave Inference","Live reconstruction of global loads on a powerboat using local strain FBG measurements","Data Assimilation-based Simultaneous Phase-Resolved Ocean Wave and Ship Motion Forecast","Virtual hull monitoring using hindcast and motion data to assess frigate-size vessel stress response"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Ship Engineering"}}
{"question":"Please systematically review research works published in Computer Methods in Applied Mechanics and Engineering, Journal of Computing and Information Science in Engineering, Nature Communications, and other computational mechanics journals, as well as top-tier machine learning conferences such as NeurIPS, ICLR, ICML, and AAAI, with a focus on surrogate modeling methods in mechanics. The review should emphasize the historical development, major methodological paradigms, and the physical interpretability of these approaches.","answer":["Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms","Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations","Fourier Neural Operator for Parametric Partial Differential Equations","Learning deep implicit Fourier neural operators (IFNOs) with applications to heterogeneous material modeling","Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations","Deep equilibrium based neural operators for steady-state PDEs","Thermodynamics-based artificial neural networks for constitutive modeling","Linearization Turns Neural Operators into Function-Valued Gaussian Processes","Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs","Meta-Auto-Decoder for Solving Parametric Partial Differential Equations","Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning","Learning Semilinear Neural Operators: A Unified Recursive Framework For Prediction And Data Assimilation","SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks","PDE-Net: Learning PDEs from Data","Neural Ordinary Differential Equations","Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks","Learning continuous-time PDEs from sparse data with graph neural networks","Learning Mesh-Based Simulation with Graph Networks","Learning to Simulate Complex Physics with Graph Networks","Multipole Graph Neural Operator for Parametric Partial Differential Equations","Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators","Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data","Data-driven operator inference for nonintrusive projection-based model reduction","Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems","Physics-Informed Neural Operator for Learning Partial Differential Equations","Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems","Physics-informed deep learning for simultaneous surrogate modeling and PDE-constrained optimization of an airfoil geometry","Constitutive model-constrained physics-informed neural networks framework for nonlinear structural seismic response prediction","Physics-data combined machine learning for parametric reduced-order modelling of nonlinear dynamical systems in small-data regimes","Comparison of Machine Learning and gPC-based proxy solutions for an efficient Bayesian identification of fracture parameters","Region-optimal Gaussian process surrogate model via Dirichlet process for cold-flow and combustion emulations","Gaussian process regression as a surrogate model for the computation of dispersion relations","Efficient uncertainty quantification of stochastic problems in CFD by combination of compressed sensing and POD-Kriging","Enhanced Kriging leave-one-out cross-validation in improving model estimation and optimization","Efficient reliability analysis with a CDA-based dimension-reduction model and polynomial chaos expansion","A radial basis function artificial neural network (RBF ANN) based method for uncertain distributed force reconstruction considering signal noises and material dispersion","Automatic network structure discovery of physics informed neural networks via knowledge distillation","Physics-informed deep learning approach for modeling crustal deformation","One-shot learning for solution operators of partial differential equations","Physics-informed learning of governing equations from scarce data","Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics","A Physics-Informed General Convolutional Network for the Computational Modeling of Materials with Damage","Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations","Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity","NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations","Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations","Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks","A method for interpolating on manifolds structural dynamics reduced-order models","Deep convolutional neural networks for eigenvalue problems in mechanics","Dimensional decomposition-aided metamodels for uncertainty quantification and optimization in engineering: a review","Enhancing CFD solver with Machine learning techniques","Accelerating MCMC via Kriging-based adaptive independent proposals and delayed rejection","Data-driven computational mechanics","Reduced Operator Inference for Nonlinear Partial Differential Equations","Bayesian operator inference for data-driven reduced-order modeling","Operator inference for non-intrusive model reduction with quadratic manifolds","Canonical and noncanonical Hamiltonian operator inference","Gradient preserving Operator Inference: Data-driven reduced-order models for equations with gradient structure","Physics-informed non-intrusive reduced-order modeling of parameterized dynamical systems","A physics-informed 3D surrogate model for elastic fields in polycrystals","Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions","β-Variational autoencoders and transformers for reduced-order modelling of fluid flows","Multi-fidelity physics constrained neural networks for dynamical systems","Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media","The novel graph transformer-based surrogate model for learning physical systems","Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification","Data Driven Computing with Noisy Material Data Sets","Data-driven computing in dynamics","Data-driven fracture mechanics","Model-free data-driven computational mechanics enhanced by tensor voting","Direct data-driven algorithms for multiscale mechanics","Data driven approach in multiphysics framework: Application to coupled electro-mechanical problems","A physics-informed GAN framework based on model-free data-driven computational mechanics","Data-driven methods for computational mechanics: A fair comparison between neural networks based and model-free approaches","Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction","Multifidelity Physics-Constrained Neural Networks With Minimax Architecture","Physics-constrained bayesian neural network for fluid flow reconstruction with sparse and noisy data","Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators","Fem-constrained neural network-based surrogate model (FCNN-SM) for rapid structural response prediction: algorithm framework and reliability analysis applications","Surrogate modeling for radiative heat transfer using physics-informed deep neural operator networks","Physics-Informed Neural Network surrogate model for bypassing Blade Element Momentum theory in wind turbine aerodynamic load estimation","Kriging-based surrogate data-enriching artificial neural network prediction of strength and permeability of permeable cement-stabilized base","Computational homogenization of nonlinear elastic materials using neural networks","Graph neural networks for laminar flow prediction around random two-dimensional shapes","Convolutional Neural Network Surrogate Models for the Mechanical Properties of Periodic Structures","Derivative-enhanced Deep Operator Network","Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations","A practical PINN framework for multi-scale problems with multi-magnitude loss terms","Learning \"best\" kernels from data in Gaussian process regression. With application to aerodynamics","Surrogate-based analysis and optimization","Recent advances in surrogate-based optimization","Discovering governing equations from data by sparse identification of nonlinear dynamical systems"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Mechanics"}}
{"question":"I am working on reduced-order surrogate modeling for mechanics problems, and currently employ a framework that combines POD-based dimensionality reduction with symbolic regression. However, the predictive performance of this approach degrades when applied to strongly nonlinear physical processes. Can you recommend research works that further integrate symbolic regression with reduced-order modeling techniques? In particular, I am interested in methods that describe the targeted mechanics problem settings, the types of datasets used, and the strengths and limitations of these approaches in handling strong nonlinearities.","answer":["A Massively Parallelizable Surrogate-Based Modeling Framework for Nonlinear Static Aeroelasticity and Structural Design","A journey from mechanistic to data-driven models in process engineering: dimensionality reduction, surrogate and hybrid approaches, and digital twins","Data Driven Techniques for Modal Decomposition and Reduced-Order Modelling of Fluids","Data-Driven Surrogate Models for Computational Fluid Dynamics","Construction of reduced order models for fluid flows using deep neural networks","Machine learning based extension of explainable model order reduction","On-the-fly adaptivity for nonlinear twoscale simulations using artificial neural networks and reduced order modeling","Deep learning-based reduced order modeling for unsteady flow dynamics and fluid-structure interaction","Discrete Physics-Informed Training for Projection-Based Reduced-Order Models with Neural Networks","Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks","Modeling nonlinear oscillator networks using physics-informed hybrid reservoir computing","Construction of reduced-order models for fluid flows using deep feedforward neural networks","Learning Nonlinear Projections for Reduced-Order Modeling of Dynamical Systems using Constrained Autoencoders","Symbolic Regression of Data-Driven Reduced Order Model Closures for Under-Resolved, Convection-Dominated Flows","Symbolic Regression-Enhanced Dynamic Wake Meandering: Fast and Physically Consistent Wind-Turbine Wake Modeling","Constrained sparse Galerkin regression","Promoting global stability in data-driven models of quadratic nonlinear dynamics","Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions","Data-driven nonlinear reduced-order modeling of unsteady fluid–structure interactions","Sparse reduced-order modeling : Sensor-based dynamics to full-state estimation","Data-Driven Reduced-Order Modeling of Phase Mixing Dynamics from Particle Kinetic Simulation","Weak-Form Latent Space Dynamics Identification","Sparse identification of nonlinear dynamics with low-dimensionalized flow representations","Sparse nonlinear models of chaotic electroconvection","Physics-constrained, low-dimensional models for MHD: First-principles and data-driven approaches, Efficient Aerodynamic Design via Data-driven Approaches","l1-based calibration of POD-Galerkin models of two-dimensional unsteady flows","Pressure Data-Driven Variational Multiscale Reduced Order Models","Data-Driven Variational Multiscale Reduced Order Models","Construction of Reduced Order Models for Fluid Flows Using Deep Feedforward Neural Networks","A data driven reduced order model of fluid flow by Auto-Encoder and self-attention deep learning methods","POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations","Machine learning closures for model order reduction of thermal fluids","A reduced order system ID approach to the modelling of nonlinear structural behavior in aeroelasticity","Physics-informed learning of governing equations from scarce data","Symbolic Learning of Interpretable Reduced-Order Models for Jumping Quadruped Robots","Data-driven modeling of the chaotic thermal convection in an annular thermosyphon","Identification of hybrid dynamic systems via a sparse regression algorithm","Data-driven discovery of partial differential equations","Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions","Discovering sparse interpretable dynamics from partial observations","Convergence of weak-SINDy Surrogate Models","Dimensionally Consistent Learning with Buckingham Pi","Using gene expression programming to discover macroscopic governing equations hidden in the data of molecular simulations","Discovering governing equations from data: Sparse identification of nonlinear dynamical systems","Robust learning from noisy, incomplete, high-dimensional experimental data via physically constrained symbolic regression","Data-driven discovery of coordinates and governing equations","Model selection for hybrid dynamical systems via sparse regression","T-SHRED: Symbolic Regression for Regularization and Model Discovery with Transformer Shallow Recurrent Decoders","Machine Learning of Nonlinear Waves: Data-Driven Methods for Computer-Assisted Discovery of Equations, Symmetries, Conservation Laws, and Integrability","Sparse Identification of Nonlinear Dynamics with Control (SINDYc)","Integrating symbolic regression with physics-informed neural networks for simulating nonlinear wave dynamics in arterial blood flow","CFD-driven Symbolic Identification of Algebraic Reynolds-Stress Models","Data-driven discovery of partial differential equation models with latent variables","Physics Informed Symbolic Networks","Extending a Physics-Based Constitutive Model using Genetic Programming","Learning physics-based reduced-order models from data using nonlinear manifolds","A review on data-driven constitutive laws for solids","Learning dynamics from coarse/noisy data with scalable symbolic regression"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Mechanics"}}
{"question":"Please provide research papers related to the sulfurized polyacrylonitrile (SPAN) cathode in lithium-sulfur batteries, including but not limited to the structural research of sulfurized polyacrylonitrile, the modification research of batteries in relevant systems, and the charge-discharge mechanism research. All papers shall be published within the recent five years and released by the end of 2025.","answer":["Structural Transformation in a Sulfurized Polymer Cathode to Enable Long-Life Rechargeable Lithium-Sulfur Batteries","Deciphering the Sulfur-Involved Bonding Interactions in Sulfurized Polyacrylonitrile: The Formation Thermodynamics and the Roles in Electrochemical Characteristics","Formation Mechanism and Molecular Structure of Sulfurized Polyacrylonitrile","Structural and Interphasial Stabilities of Sulfurized Polyacrylonitrile (SPAN) Cathode","Interfacial Electrochemical Lithiation and Dissolution Mechanisms at a Sulfurized Polyacrylonitrile Cathode Surface","In-Operando FTIR Study on the Redox Behavior of Sulfurized Polyacrylonitrile as Cathode Material for Li–S Batteries","Roles of the Polymer Backbone for Sulfurized Polyacrylonitrile Cathodes in Rechargeable Lithium Batteries","Failure mechanism of sulfurized polyacrylonitrile (SPAN) cathode induced by boron-contained lithium salt","The reduction behavior of sulfurized polyacrylonitrile (SPAN) in lithium–sulfur batteries using a carbonate electrolyte: a computational study","Reversible Solid-Solid Conversion of Sulfurized Polyacrylonitrile Cathodes in Lithium-Sulfur Batteries by Weakly Solvating Ether Electrolytes","Electrolyte Engineering for Long-Life Li-SPAN Batteries","Tailored Electrolytes Enabling Practical Lithium–Sulfur Full Batteries via Interfacial Protection","Understanding the Roles of the Electrode/Electrolyte Interface for Enabling Stable Li∥Sulfurized Polyacrylonitrile Batteries","Dual Passivation of Cathode and Anode through Electrode–Electrolyte Interface Engineering Enables Long-Lifespan Li Metal–SPAN Batteries","A Coordinated-Anion-Enriched Electrolyte for Lean-Electrolyte Li–S Batteries","Tailoring Solvation Solvent in Localized High-Concentration Electrolytes for Lithium||Sulfurized Polyacrylonitrile","Effect of Electrolyte Chemistry and Sulfur Content in Li||Sulfurized Polyacrylonitrile (SPAN) Batteries","Strategy for High-Energy Li–S Battery Coupling with a Li Metal Anode and a Sulfurized Polyacrylonitrile Cathode","Realizing sulfurized polyacrylonitrile cathode in ether-based electrolyte","Construction of Ordered and Fast Lithium Ion Channels in Gel Electrolytes for Li-SPAN Batteries","Solid–liquid–solid mediated artificial SEI coated stable lithium and high-sulfur percentage SPAN for high performance Li–S batteries","High-energy silicon-sulfurized poly(acrylonitrile) battery based on a nitrogen evolution reaction","Covalent Si–S bonding engineering in sulfurized polyacrylonitrile (SPAN): toward enhanced electrochemical stability and kinetics in lithium–sulfur batteries","Enhancing the backbone regularity of sulfurized polyacrylonitrile for long-life Li-SPAN batteries","A Rigid-flexible binder for sulfurized polyacrylonitrile cathodes for rechargeable lithium batteries","High Volumetric Capacity FeS2/SPAN Composite with Promoted Kinetics for Li–S Battery","Sulfurized Polyacrylonitrile Cathodes With Rapid Redox Kinetics for High-Capacity and Long-Cycle-Life Lithium-Sulfur Batteries","Delaying cyclization of polyacrylonitrile by boric acid for sulfurized poly(acrylonitrile) cathode materials","Flower-Shaped Sulfurized Polyacrylonitrile Nanostructures as Cathode Materials for High-Performance Lithium–Sulfur Batteries","Construction of CoS2 Reduction Accelerator-Modified Sulfurized Polyacrylonitrile Nanofibers as High-Performance Cathode Materials for Practical Lithium–Sulfur Batteries","Selenium-Doped Sulfurized Poly(acrylonitrile) Composites as Ultrastable and High-Volumetric-Capacity Cathodes for Lithium–Sulfur Batteries","Electrospun Sulfurized Polyacrylonitrile Nanofibers for Long-Term Cycling Stability and High-Rate Lithium–Sulfur Batteries","Construction of high-performance sulfurized poly(acrylonitrile) cathodes for lithium-sulfur batteries via catalytic and conductive regulation","Construction of high-rate performance sulfurized Poly(acrylonitrile) nanofibers cathodes for practical lithium–sulfur batteries via tellurium catalytic regulation","Nano sulfurized polyacrylonitrile cathode for high performance solid-state lithium–sulfur batteries","All-Solid-State Garnet Type Sulfurized Polyacrylonitrile/Lithium-Metal Battery Enabled by an Inorganic Lithium Conductive Salt and a Bilayer Electrolyte Architecture","Sulfurized polyacrylonitrile cathodes with electrochemical and structural tuning for high capacity all-solid-state lithium–sulfur batteries","Solid-State Transformations of Active Materials in the Pores of Sulfurized-Polyacrylonitrile Fiber Membranes via Nucleophilic Reactions for High-Loading and Free-Standing Lithium–Sulfur Battery Cathodes","Comprehensive Characterization of Multi-Phase Sulfurized Polyacrylonitrile Cathodes for Lithium-Sulfur Batteries","Ultra-lightweight rechargeable battery with enhanced gravimetric energy densities >750 Wh kg−1 in lithium-sulfur pouch cell","Sulfurized polyacrylonitrile as cathodes for advanced lithium–sulfur batteries: advances in modification strategies","Recent advances in sulfurized polyacrylonitrile cathodes for lithium–sulfur batteries","Reconfigurable In–S Coordination in SPAN Cathodes: Unlocking High Sulfur Utilization and Fast Kinetics for Practical Li‒S Batteries","Accelerating redox kinetics of sulfurized polyacrylonitrile nanosheets by trace doping of element","Design of atomic cobalt selenide-doped sulfurized polyacrylonitrile cathode with enhanced electrochemical kinetics for high performance lithium-SPAN batteries","A new insight into the molecular rearrangement of sulfurized polyacrylonitrile cathode in ether electrolyte","Enhancing the performance of a lithium-sulfur battery with spatially confined mesoporous nanoreactors in sulfurized polyacrylonitrile cathodes","New insights into the reaction mechanism of sulfurized polyacrylonitrile cathode material for Li-S batteries","Boosting Solid‐Solid Conversion Kinetics of Sulfurized Polyacrylonitrile via MoS2 Doping for High‐Rate and Long‐life Li‐S Batteries","Flexible CNT-Interpenetrating Hierarchically Porous Sulfurized Polyacrylonitrile (CIHP-SPAN) Electrodes for High-Rate Lithium-Sulfur (Li-S) Batteries","Impact of the Sulfurized Polyacrylonitrile Cathode Microstructure on the Electrochemical Performance of Lithium–Sulfur Batteries","A quasi-intercalation reaction for fast sulfur redox kinetics in solid-state lithium-sulfur batteries","Cobalt coordination with pyridines in sulfurized polyacrylonitrile cathodes to form conductive pathways and catalytic M-N4S sites for accelerated Li-S kinetics","Melamine foam-derived N-doped carbon framework and graphene-supported sulfurized polyacrylonitrile for high performance lithium‑sulfur battery cathode","Novel multicomponent composite with TiO2/Y2O3 as cathode material and interlayer for Li-SPAN batteries cycled at high C-rates","Two Competing Reactions of Sulfurized Polyacrylonitrile Produce High-Performance Lithium–Sulfur Batteries","Atomistic discharge studies of sulfurized-polyacrylonitrile through ab initio molecular dynamics","Review on polymer electrolytes for lithium‐sulfurized polyacrylonitrile batteries","A novel modeling approach for sulfurized polyacrylonitrile (SPAN) electrodes in Li metal batteries","Challenges and Prospects of Electrolyte Design for Lithium‐Sulfurized Polyacrylonitrile Batteries","Pinned Electrode/Electrolyte Interphase and Its Formation Origin for Sulfurized Polyacrylonitrile Cathode in Stable Lithium Batteries","Capturing polysulfides by sulfurized‐polyacrylonitrile in lithium‐sulfur batteries and the sulfur‐chain effects through Density Functional Theory","Sulfurized Polyacrylonitrile for Rechargeable Batteries: A Comprehensive Review","Fibrous organosulfur cathode materials with high bonded sulfur for high-performance lithium-sulfur batteries","Tailoring electrolyte solvation for Li metal batteries cycled at ultra-low temperature","All-Solid-State Lithium–Sulfur Batteries with Robust Interphases by Utilizing Elastomeric Polymer-in-Salt Electrolytes","Sulfurized Polyacrylonitrile Impregnated Delignified Wood-Based 3D Carbon Framework for High-Performance Lithium–Sulfur Batteries","Diphenyl guanidine vulcanization accelerators enable sulfurized polyacrylonitrile cathode for high capacity and ether-compatible by fast kinetic","SnS2 nanoparticles embedded in sulfurized polyacrylonitrile composite fibers for high-performance potassium-ion batteries","Harnessing iodine doping to unlock high-loading SPAN dry-electrode for practical Li–S batteries","SPAN secondary particles enabled high energy density Lithium-Sulfur battery","A cross-linked nanoflower network and Se-doping enabling sulfur-rich SPAN towards lithium–sulfur batteries beyond 600 W h kg−1","Mussel and Cobweb Inspired High Areal Capacity SPAN Electrode","Enhancing the performance of lithium-sulfur batteries by embedding asymmetric Co-N3S1 single-atom catalysts into hollow SeSPAN nanofibers","Unraveling the mechanism on improved kinetics performance of sulfurized polyacrylonitrile with defective conductive carbon matrix"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"I’m working on the literature review section of my paper about sulfurized polyacrylonitrile (SPAN) cathodes. I’ve encountered inconsistencies in the viewpoints of multiple papers regarding the structure of SPAN and its charge-discharge mechanism. Could you help me summarize and categorize these papers and their respective viewpoints, and recommend some representative related papers? Additionally, please provide your own opinions and interpretations of these differing viewpoints—on the condition that your personal perspectives are supported by relevant paper evidence.","answer":["Sulfurized Polyacrylonitrile for Rechargeable Batteries: A Comprehensive Review","Sulfurized polyacrylonitrile for high-performance lithium sulfur batteries: advances and prospects","Recent advances in sulfurized polyacrylonitrile cathodes for lithium–sulfur batteries","Formation Mechanism and Molecular Structure of Sulfurized Polyacrylonitrile","Prospect of Sulfurized Pyrolyzed Poly(acrylonitrile) (S@pPAN) Cathode Materials for Rechargeable Lithium Batteries","Structural and Interphasial Stabilities of Sulfurized Polyacrylonitrile (SPAN) Cathode","Interfacial Electrochemical Lithiation and Dissolution Mechanisms at a Sulfurized Polyacrylonitrile Cathode Surface","Roles of the Polymer Backbone for Sulfurized Polyacrylonitrile Cathodes in Rechargeable Lithium Batteries","In-Operando FTIR Study on the Redox Behavior of Sulfurized Polyacrylonitrile as Cathode Material for Li–S Batteries","Origin of shuttle-free sulfurized polyacrylonitrile in lithium-sulfur batteries","New Insights into the N–S Bond Formation of a Sulfurized-Polyacrylonitrile Cathode Material for Lithium–Sulfur Batteries","Failure mechanism of sulfurized polyacrylonitrile (SPAN) cathode induced by boron-contained lithium salt","Mechanistic understanding of the Sulfurized-Poly(acrylonitrile) cathode for lithium-sulfur batteries","The reduction behavior of sulfurized polyacrylonitrile (SPAN) in lithium–sulfur batteries using a carbonate electrolyte: a computational study","Structural Transformation in a Sulfurized Polymer Cathode to Enable Long-Life Rechargeable Lithium–Sulfur Batteries","Reversible Solid-Solid Conversion of Sulfurized Polyacrylonitrile Cathodes in Lithium-Sulfur Batteries by Weakly Solvating Ether Electrolytes","Electrolyte Engineering for Long-Life Li-SPAN Batteries","Comprehensive Characterization of Multi-Phase Sulfurized Polyacrylonitrile Cathodes for Lithium-Sulfur Batteries","Pinned Electrode/Electrolyte Interphase and Its Formation Origin for Sulfurized Polyacrylonitrile Cathode in Stable Lithium Batteries","Sulfurized Polyacrylonitrile (SPAN): Changes in Mechanical Properties during Electrochemical Lithiation","Sulfurized Polyacrylonitrile for High-Performance Lithium–Sulfur Batteries: In-Depth Computational Approach Revealing Multiple Sulfur’s Reduction Pathways and Hidden Li+ Storage Mechanisms for Extra Discharge Capacity","Effect of Electrolyte Chemistry and Sulfur Content in Li||Sulfurized Polyacrylonitrile (SPAN) Batteries","Density Functional Theory Studies on Sulfur–Polyacrylonitrile as a Cathode Host Material for Lithium–Sulfur Batteries","A new insight into the lithium storage mechanism of sulfurized polyacrylonitrile with no soluble intermediates","Electrochemical Properties of Sulfurized-Polyacrylonitrile Cathode for Lithium–Sulfur Batteries: Effect of Polyacrylic Acid Binder and Fluoroethylene Carbonate Additive","Sulphured Polyacrylonitrile Composite Analysed by in operando UV-Visible Spectroscopy and 4-electrode Swagelok Cell","Metal–Sulfur Battery Cathodes Based on PAN–Sulfur Composites","Structure-Related Electrochemistry of Sulfur-Poly(acrylonitrile) Composite Cathode Materials for Rechargeable Lithium Batteries","Sulfurized Polyacrylonitrile Cathodes with High Compatibility in Both Ether and Carbonate Electrolytes for Ultrastable Lithium–Sulfur Batteries","Highly stable performance of lithium-sulfurized polyacrylonitrile batteries using a lean ether-based electrolyte","A new insight into capacity fading of sulfurized polyacrylonitrile composite in carbonate electrolyte","A Rigid-flexible binder for sulfurized polyacrylonitrile cathodes for rechargeable lithium batteries","New insights into the reaction mechanism of sulfurized polyacrylonitrile cathode material for Li–S batteries","Controllable synthesis of sulfurized polyacrylonitrile nanofibers for high performance lithium–sulfur batteries","Unraveling the mechanism on improved kinetics performance of sulfurized polyacrylonitrile with defective conductive carbon matrix","Delaying cyclization of polyacrylonitrile by boric acid for sulfurized poly(acrylonitrile) cathode materials","Disulfide Dichloride: A High Efficiency Vulcanizing Agent for Sulfurized Polyacrylonitrile","Construction of CoS2 Reduction Accelerator-Modified Sulfurized Polyacrylonitrile Nanofibers as High-Performance Cathode Materials for Practical Lithium–Sulfur Batteries","Sulfurized Polyacrylonitrile Cathode Derived from Intermolecular Cross-Linked Polyacrylonitrile for a Rechargeable Lithium Battery","Selenium-Doped Sulfurized Poly(acrylonitrile) Composites as Ultrastable and High-Volumetric-Capacity Cathodes for Lithium–Sulfur Batteries","Two Competing Reactions of Sulfurized Polyacrylonitrile Produce High-Performance Lithium–Sulfur Batteries","Binder-free and high-loading sulfurized polyacrylonitrile cathode for lithium/sulfur batteries","Effects of Fiber Diameter on Sulfur Loading and Lithium–Sulfur Battery Performance of Semicarbonized and Sulfurized Polyacrylonitrile Cathode Materials","Scalable SPAN Membrane Cathode with High Conductivity and Hierarchically Porous Framework for Enhanced Ion Transfer and Cycling Stability in Li–S Batteries","Sulfurized polyacrylonitrile cathodes with electrochemical and structural tuning for high capacity all-solid-state lithium–sulfur batteries","Solid-State Transformations of Active Materials in the Pores of Sulfurized-Polyacrylonitrile Fiber Membranes via Nucleophilic Reactions for High-Loading and Free-Standing Lithium–Sulfur Battery Cathodes","A novel modeling approach for sulfurized polyacrylonitrile (SPAN) electrodes in Li metal batteries","Sulfurized polyacrylonitrile as cathodes for advanced lithium–sulfur batteries: advances in modification strategies","Sulfur‐Composites Derived from Poly(acrylonitrile) and Poly(vinylacetylene) – A Comparative Study on the Role of Pyridinic and Thioamidic Nitrogen","Investigation of an Industrially Scalable Production of Sulfur‐Polyacrylonitrile Based Cathodes","Impact of the Sulfurized Polyacrylonitrile Cathode Microstructure on the Electrochemical Performance of Lithium–Sulfur Batteries","Structure and reactions mechanism of sulfurized polyacrylonitrile as cathodes for rechargeable Li-S batteries","Charge/discharge characteristics of sulfur composite cathode materials in rechargeable lithium batteries","Electrochemical characteristics of sulfur composite cathode materials in rechargeable lithium batteries","Sulfur Composite Cathode Materials for Rechargeable Lithium Batteries","A Novel Conductive Polymer–Sulfur Composite Cathode Material for Rechargeable Lithium Batteries","Ether-compatible sulfurized polyacrylonitrile cathode with excellent performance enabled by fast kinetics via selenium doping","New insights into the reaction mechanism of sulfurized polyacrylonitrile cathode material for Li-S batteries","Reconfigurable In–S Coordination in SPAN Cathodes: Unlocking High Sulfur Utilization and Fast Kinetics for Practical Li‒S Batteries","Accelerating redox kinetics of sulfurized polyacrylonitrile nanosheets by trace doping of element","Design of atomic cobalt selenide-doped sulfurized polyacrylonitrile cathode with enhanced electrochemical kinetics for high performance lithium-SPAN batteries","A new insight into the molecular rearrangement of sulfurized polyacrylonitrile cathode in ether electrolyte","Enhancing the performance of a lithium-sulfur battery with spatially confined mesoporous nanoreactors in sulfurized polyacrylonitrile cathodes","Boosting Solid‐Solid Conversion Kinetics of Sulfurized Polyacrylonitrile via MoS2 Doping for High‐Rate and Long‐life Li‐S Batteries","Enhanced reversible capacity of sulfurized polyacrylonitrile cathode for room-temperature Na/S batteries by electrochemical activation","A quasi-intercalation reaction for fast sulfur redox kinetics in solid-state lithium-sulfur batteries","Cobalt coordination with pyridines in sulfurized polyacrylonitrile cathodes to form conductive pathways and catalytic M-N4S sites for accelerated Li-S kinetics","Theoretical Studies on the Charging and Discharging of Poly(acrylonitrile)-Based Lithium-Sulfur Batteries","Melamine foam-derived N-doped carbon framework and graphene-supported sulfurized polyacrylonitrile for high performance lithium‑sulfur battery cathode","Review on polymer electrolytes for lithium‐sulfurized polyacrylonitrile batteries","Challenges and Prospects of Electrolyte Design for Lithium‐Sulfurized Polyacrylonitrile Batteries","Capturing polysulfides by sulfurized‐polyacrylonitrile in lithium‐sulfur batteries and the sulfur‐chain effects through Density Functional Theory"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"I'm looking into attacks on large language model safety alignment in black-box fine-tuning settings. Traditional approaches based on harmful data fine-tuning are often blocked by safety filters or guardrail models, which limits their practicality. I'm interested in papers that explore using benign data or indirect methods to weaken safety alignment or bypass refusal mechanisms. Can you recommend relevant research in this direction?","answer":["Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models","What is in Your Safe Data? Identifying Benign Data that Breaks Safety","Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!","Policy Evaluation in Distributional LQR (Extended Version)","Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models","Safety Alignment Should Be Made More Than Just a Few Tokens Deep","Fine-Tuning Jailbreaks under Highly Constrained Black-Box Settings: A Three-Pronged Approach","Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs","Wolf Hidden in Sheep's Conversations: Toward Harmless Data-Based Backdoor Attacks for Jailbreaking Large Language Models","Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility","Exploiting Novel GPT-4 APIs","Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models","Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety","Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction","Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation","Removing RLHF Protections in GPT-4 via Fine-Tuning","Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs","Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models","In-Context Learning Can Re-learn Forbidden Tasks","Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment","Persona Features Control Emergent Misalignment","On the Exploitability of Instruction Tuning","An Adversarial Perspective on Machine Unlearning for AI Safety"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Traditional model stealing poses a significant risk to commercial models, but there is limited research on reverse-engineering safety guardrails or stealing guardrail models in large language models. This gap creates new security concerns. I'm interested in papers that investigate reverse analysis of LLM guardrails, guardrail model extraction, or related vulnerabilities. Can you recommend relevant research in this area?","answer":["Jailbreaking Black Box Large Language Models in Twenty Queries","Exposing the Guardrails: Reverse-Engineering and Jailbreaking Safety Filters in DALL·E Text-to-Image Pipelines"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please help me retrieve papers in the field of AI-generated text detection that were published at ACL 2023 or ACL 2024","answer":["MAGE: Machine-generated Text Detection in the Wild","RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors","M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection","Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks","Are AI-Generated Text Detectors Robust to Adversarial Perturbations?","Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs","Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model","Machine-Generated Text Localization","Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors","k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text","WatME: Towards Lossless Watermarking Through Lexical Redundancy","Subtle Signatures, Strong Shields: Advancing Robust and Imperceptible Watermarking in Large Language Models","Duwak: Dual Watermarks in Large Language Models","Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT","DetectLLM: Leveraging Log-Rank Information for Zero-Shot Detection of Machine-Generated Text","SeqXGPT: Sentence-Level AI-Generated Text Detection","Ghostbuster: Detecting Text Ghostwritten by Large Language Models","GPT-who: An Information Density-based Machine-Generated Text Detector","Spotting AI’s Touch: Identifying LLM-Paraphrased Spans in Text"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please help me search for zero-shot detection methods in the field of AI-generated text detection. The methods must be based on metrics for detection, rather than training-based detection approaches.","answer":["DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature","Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text","Zero-Shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration Inequalities","Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature","DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text","Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore","TempTest: Local Normalization Distortion and the Detection of Machine-generated Text","T-Detect: Tail-Aware Statistical Normalization for Robust Detection of Adversarial Machine-Generated Text","AI-Generated Text is Non-Stationary: Detection via Temporal Tomography","Training-free LLM-generated Text Detection by Mining Token Probability Sequences","SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis","Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness","Zero-shot detection of LLM-generated text via text reorder","Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction","GLTR: Statistical Detection and Visualization of Generated Text","DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains","Diversity Boosts AI-Generated Text Detection","Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts","DetectGPT-SC: Improving Detection of Text Generated by Large Language Models through Self-Consistency with Masked Predictions","Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model","Zero-Shot Machine-Generated Text Detection Using Mixture of Large Language Models","AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising","Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection","Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please help me find papers on the modification of FKM rubber that use graphene oxide (GO) as a reinforcing filler.The papers should be released before the end of 2025.","answer":["Recent advances in experimental and molecular dynamics study of graphene-oxide/natural rubber composites: A review","Ionic liquid functionalised reduced graphene oxide fluoroelastomer nanocomposites with enhanced mechanical, dielectric and viscoelastic properties","Graphene oxide-integrated high-temperature durable fluoroelastomer for petroleum oil sealing","Effect of graphene oxide/layered double hydroxide modified by 7-octenyltrimethoxysilane on the mechanical and gas barrier properties of fluoroelastomers","Constructing interconnected graphene network in fluoroelastomer composites by F-H polar interaction for enhanced mechanical and barrier properties","Effect of graphene oxide/layered double hydroxide modified by 7‐octenyltrimethoxysilane on the mechanical and gas barrier properties of fluoroelastomers","Mechanical, thermal conductive, and dielectric properties of fluoroelastomer/reduced graphene oxide composites in situ prepared by solvent thermal reduction","Experimental investigations on graphene oxide/rubber composite thermal conductivity","Fluororubber composites: Preparation methods, vulcanization mechanisms, and the associated properties","Allyl-Functionalization enhanced thermally stable graphene/fluoroelastomer nanocomposites","Improving mechanical and electrical properties of fluoroelastomer nanocomposites by incorporation of low content of reduced graphene oxide via fast evaporation mixing","Experimental investigations on thermal diffusivity of heterogeneous materials"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Could you help me find research papers on the high-temperature resistance modification of fluororubber composites that were published in the journal \nACS Omega. Research from 2000 to 2025 and authored by research teams from the Beijing University of Chemical Technology.","answer":["Fluorination Modification of Methyl Vinyl Silicone Rubber and Its Compatibilization Effect on Fluorine/Silicone Rubber Composites"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Please provide papers published by journals of psychiatry that study both reward deficits and depression. The papers should be released after the beginning of 2021 and before the end of 2025.","answer":["Neural response to social but not monetary reward predicts increases in depressive symptoms during the COVID‐19 pandemic","Evidence for deficits in behavioural and physiological responses in aged mice relevant to the psychiatric symptom of apathy","Navigating a varying reward environment in childhood and adolescence","Distinct profiles of anhedonia and reward processing and their prospective associations with quality of life among individuals with mood disorders","Reinforcement learning in patients with mood and anxiety disorders vs control individuals: A systematic review and meta-analysis","Effort and Appetitive Responding in Depression: Examining Deficits in Motivational and Consummatory Stages of Reward Processing Using the Effort-Doors Task","Ventral striatal activation during reward differs between major depression with and without impaired mood reactivity","Subjects with bipolar disorder showed different reward system activation than subjects with major depressive disorder in the monetary incentive delay task","A randomized proof-of-mechanism trial of TNF antagonism for motivational deficits and related corticostriatal circuitry in depressed patients with high inflammation","Reward Processing in Psychiatric Inpatients With Depression","Hypoactivation of the Ventromedial Frontal Cortex in Major Depressive Disorder: A Magnetoencephalography Study of the Reward Positivity","Reward System in Late-Life Depression: a Cross-Sectional Case-Control Study","Maternal Response to Positive Affect Moderates the Impact of Familial Risk for Depression on Ventral Striatal Response to Winning Reward in 6- to 8-Year-Old Children","Ketamine Modulates the Neural Correlates of Reward Processing in Unmedicated Patients in Remission From Depression","Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial","Leptin enhances social motivation and reverses chronic unpredictable stress-induced social anhedonia during adolescence","Increased Reward-Related Activation in the Ventral Striatum During Stress Exposure Associated With Positive Affect in the Daily Life of Young Adults With a Family History of Depression. Preliminary Findings","Roles of the medial and lateral orbitofrontal cortex in major depression and its treatment","Neural Sensitivity following Stress Predicts Anhedonia Symptoms: A 2-Year Multi-wave, Longitudinal Study","Transdiagnostic considerations of the relationship between reward sensitivity and psychopathological symptoms - a cross-lagged panel analysis","Reward circuit function and treatment outcome following vALIC deep brain stimulation in treatment-resistant depression","Angiotensin blockade enhances motivational reward learning via enhancing striatal prediction error signaling and frontostriatal communication","Reward-Related Brain Activity Mediates the relationship between Decision-Making Deficits and Pediatric Depression Symptom Severity","Neural response to monetary and social feedback demonstrates differential associations with depression and social anxiety","Multi-modal assessment of reward functioning in adolescent anhedonia","Reward sensitivity across the lifespan in males and females and its associations with psychopathology","Neural activation and connectivity in offspring of depressed mothers during monetary and social reward tasks","VTA network dominance in depression confers distinct psychopathological states through blunted neural tracking of reward prediction errors","Altered reward responsiveness and depressive symptoms: An examination of social and monetary reward domains and interactions with rejection sensitivity","Fear of positive evaluation in anhedonic patients suffering from major depressive disorder: the role of probabilistic and reinforcement learning","Effect of daily life reward loop functioning on the course of depression","Neural response to monetary and social rewards and familial risk for psychopathology in adolescent females"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Medical Psychology"}}
{"question":"I'm writing a literature review in the relations between reward deficits and depression，but the neural substrates underlying reward deficits are unclear. Can you recommend papers regarding the neural mechanism of reward deficits in depression?","answer":["Reward processing under influence","Anhedonia and depression in youth: real-world and computational evidence of impaired reward processing","Distinct profiles of anhedonia and reward processing and their prospective associations with quality of life among individuals with mood disorders","Effort and Appetitive Responding in Depression: Examining Deficits in Motivational and Consummatory Stages of Reward Processing Using the Effort-Doors Task","Subjects with bipolar disorder showed different reward system activation than subjects with major depressive disorder in the monetary incentive delay task","Ventral striatal activation during reward differs between major depression with and without impaired mood reactivity","Reward processing in psychiatric inpatients with depression","Peripheral immune cell reactivity and neural response to reward in patients with depression and anhedonia","Reinforcement Learning Disruptions in Individuals With Depression and Sensitivity to Symptom Change Following Cognitive Behavioral Therapy","Striatal Activity to Reward Anticipation as a Moderator of the Association Between Early Behavioral Inhibition and Changes in Anxiety and Depressive Symptoms From Adolescence to Adulthood","The role of reward-related brain activity in response to treatment and later depression severity: data from a randomized controlled trial in early adolescents with anxiety disorders","Neural sensitivity following stress predicts anhedonia symptoms: a 2-year multi-wave, longitudinal study","Impaired reward prediction error encoding and striatal-midbrain connectivity in depression","Abnormal temporal difference reward-learning signals in major depression","Patients with major depressive disorder exhibit reduced reward size coding in the striatum","Moderation of the Relationship Between Reward Expectancy and Prediction Error-Related Ventral Striatal Reactivity by Anhedonia in Unmedicated Major Depressive Disorder: Findings From the EMBARC Study","Machine learning identifies large-scale reward-related activity modulated by dopaminergic enhancement in major depression","Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression","Reward Processing in Unipolar and Bipolar Depression: A Functional MRI Study","Major depression in mothers predicts reduced ventral striatum activation in adolescent female offspring with and without depression.","An fMRI study of reward circuitry in patients with minimal or extensive history of major depression","Social Reward in Youth at Risk for Depression: A Preliminary Investigation of Subjective and Neural Differences","Reward related ventral striatal activity and differential response to sertraline versus placebo in depressed individuals","The Effects of Psychotherapy on Neural Responses to Rewards in Major Depression","Behavioral and Neural Markers of Reward Processing Deficits in Adolescents at High Familial Risk for Depressive Disorders"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Medical Psychology"}}
{"question":"Could you help me find benchmarks for evaluating academic paper search that were published in the journals of psychiatry?","answer":["Distinct profiles of anhedonia and reward processing and their prospective associations with quality of life among individuals with mood disorders","Multimodal Investigations of Reward Circuitry and Anhedonia in Adolescent Depression","Functional connectivity in reward circuitry and symptoms of anhedonia as therapeutic targets in depression with high inflammation: evidence from a dopamine challenge study","A randomized proof-of-mechanism trial of TNF antagonism for motivational deficits and related corticostriatal circuitry in depressed patients with high inflammation","Reinforcement Learning Disruptions in Individuals With Depression and Sensitivity to Symptom Change Following Cognitive Behavioral Therapy","Peripheral immune cell reactivity and neural response to reward in patients with depression and anhedonia","Using hierarchical drift diffusion models to elucidate computational mechanisms of reduced reward sensitivity in adolescent major depressive disorder","Reward-Related Brain Activity Mediates the Relationship Between Decision-Making Deficits and Pediatric Depression Symptom Severity","Hypoactivation of the Ventromedial Frontal Cortex in Major Depressive Disorder: A Magnetoencephalography Study of the Reward Positivity","Potentiated processing of reward related decision making in depression is attenuated by suicidal ideation","Striatal dopamine in anhedonia: A simultaneous [11C]raclopride positron emission tomography and functional magnetic resonance imaging investigation","Striatal Activity to Reward Anticipation as a Moderator of the Association Between Early Behavioral Inhibition and Changes in Anxiety and Depressive Symptoms From Adolescence to Adulthood","Reward circuit function and treatment outcome following vALIC deep brain stimulation in treatment-resistant depression","The role of reward-related brain activity in response to treatment and later depression severity: data from a randomized controlled trial in early adolescents with anxiety disorders","Relationship of prefrontal cortex activity with anhedonia and cognitive function in major depressive disorder: an fNIRS study"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Medical Psychology"}}
{"question":"Could you help check whether there are any papers that examining the reward deficits in depression? This benchmark does not rely on pre-annotated ground truth， but instead uses an LLM to evaluate the capabilities of open-web deep-search agents.","answer":["Distinct profiles of anhedonia and reward processing and their prospective associations with quality of life among individuals with mood disorders","Reinforcement Learning Disruptions in Individuals With Depression and Sensitivity to Symptom Change Following CBT","Reinforcement learning in patients with mood and anxiety disorders vs control individuals: A systematic review and meta-analysis","Multimodal Investigations of Reward Circuitry and Anhedonia in Adolescent Depression","Functional connectivity in reward circuitry and symptoms of anhedonia as therapeutic targets in depression with high inflammation: evidence from a dopamine challenge study","Effort and Appetitive Responding in Depression: Examining Deficits in Motivational and Consummatory Stages of Reward Processing Using the Effort-Doors Task","Reinforcement Learning Disruptions in Individuals With Depression and Sensitivity to Symptom Change Following Cognitive Behavioral Therapy","Peripheral immune cell reactivity and neural response to reward in patients with depression and anhedonia","Using hierarchical drift diffusion models to elucidate computational mechanisms of reduced reward sensitivity in adolescent major depressive disorder","Transdiagnostic considerations of the relationship between reward sensitivity and psychopathological symptoms - a cross-lagged panel analysis","Exploring risky decision-making dynamics during antidepressant treatment in major depressive disorder: a computational modeling approach","Development of a multivariate prediction model for antidepressant resistant depression using reward-related predictors","Reduced nucleus accumbens functional connectivity in reward network and default mode network in patients with recurrent major depressive disorder","The role of reward-related brain activity in response to treatment and later depression severity: data from a randomized controlled trial in early adolescents with anxiety disorders","Computational reinforcement learning, reward (and punishment), and dopamine in psychiatric disorders","Neural sensitivity following stress predicts anhedonia symptoms: a 2-year multi-wave, longitudinal study","Distinct neurofunctional alterations during motivational and hedonic processing of natural and monetary rewards in depression – a neuroimaging meta-analysis","Characterizing anhedonia: A systematic review of neuroimaging across the subtypes of reward processing deficits in depression","Positive affect and reward processing in the treatment of depression, anxiety and trauma","Meta-analysis of reward processing in major depressive disorder reveals distinct abnormalities within the reward circuit","Abnormal temporal difference reward-learning signals in major depression","Patients with major depressive disorder exhibit reduced reward size coding in the striatum","The Potential Role of Dopamine Pathways in the Pathophysiology of Depression: Current Advances and Future Aspects","Machine learning identifies large-scale reward-related activity modulated by dopaminergic enhancement in major depression","Anhedonia in depression symptomatology: Appetite dysregulation and defective brain reward processing","Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression","Reward Processing in Unipolar and Bipolar Depression: A Functional MRI Study","Major depression in mothers predicts reduced ventral striatum activation in adolescent female offspring with and without depression.","An fMRI study of reward circuitry in patients with minimal or extensive history of major depression","Reward related ventral striatal activity and differential response to sertraline versus placebo in depressed individuals","Neural representation of reward in recovered depressed patients","Baseline reward processing and ventrostriatal dopamine function are associated with pramipexole response in depression","Angiotensin blockade enhances motivational reward learning via enhancing striatal prediction error signaling and frontostriatal communication","Impaired reward-related learning signals in remitted unmedicated patients with recurrent depression"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Medical Psychology"}}
{"question":"Please help me find research papers on LLM-based autonomous agents that perform web search tasks in real-world environments.\n\nThe agents must interact with live web pages (e.g., browsers or real APIs) rather than static datasets, and the evaluation should focus on search or information-seeking tasks instead of long-form report generation.\n\nPapers must be published before November 1, 2025.","answer":["WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents","MindSearch: Mimicking Human Minds Elicits Deep AI Searcher","WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models","BrowseComp: A Simple yet Challenging Benchmark for Browsing Agents","Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents","BEARCUBS: A benchmark for computer-using web agents","BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese","AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?","WebWalker: Benchmarking LLMs in Web Traversal","GAIA: a benchmark for General AI Assistants","Level-Navi Agent: A Framework and benchmark for Chinese Web Search Agents","EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments","InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents","WideSearch: Benchmarking Agentic Broad Info-Seeking","BrowserAgent: Building Web Agents with Human-Inspired Web Browsing Actions","Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning","R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning","R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning","WebDancer: Towards Autonomous Information Seeking Agency","WebArena: A Realistic Web Environment for Building Autonomous Agents","WebSailor: Navigating Super-human Reasoning for Web Agent","Mind2Web: Towards a Generalist Agent for the Web","WebCanvas: Benchmarking Web Agents in Online Environments","Open Deep Search: Democratizing Search with Open-source Reasoning Agents"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Information Engineering"}}
{"question":"Please help me find research papers that propose benchmarks for evaluating LLM-based autonomous agents on web search or information-seeking tasks.\n\nThe benchmark should evaluate agent performance in realistic or live web environments rather than purely simulated settings. The tasks should require agents to retrieve correct information, not to generate long-form research reports.\n\nOnly consider papers published before November 1, 2025.","answer":["Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge","AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?","An Illusion of Progress? Assessing the Current State of Web Agents","Deep Research Bench: Evaluating AI Web Research Agents","WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models","BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks","BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents","BEARCUBS: A benchmark for computer-using web agents","BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese","InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation","EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments","GAIA: a benchmark for General AI Assistants","MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents","WebWalker: Benchmarking LLMs in Web Traversal","MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents","InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents","WideSearch: Benchmarking Agentic Broad Info-Seeking","WebArena: A Realistic Web Environment for Building Autonomous Agents","Mind2Web: Towards a Generalist Agent for the Web","WebCanvas: Benchmarking Web Agents in Online Environments","GPT-4V(ision) is a Generalist Web Agent, if Grounded","AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents","WebLINX: Real-World Website Navigation with Multi-Turn Dialogue","SafeArena: Evaluating the Safety of Autonomous Web Agents","AgentBench: Evaluating LLMs as Agents","ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents","AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories","Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents","VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks","AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis","WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration","WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?","On the Multi-turn Instruction Following for Conversational Web Agents","WebSuite: Systematically Evaluating Why Web Agents Fail","Beyond Browsing: API-Based Web Agents","WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents","MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback","Towards a Realistic Long-Term Benchmark for Open-Web Research Agents","WebLists: Extracting Structured Information From Complex Interactive Websites Using Executable LLM Agents","RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Information Engineering"}}
{"question":"Could you help me find papers on large language models for job shop scheduling or production planning that were published in 2024?","answer":["LLMs can Schedule","Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem","Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility","Large Language Models for Manufacturing","A Large Language Model-based multi-agent manufacturing system for intelligent shopfloor","Control Industrial Automation System with Large Language Models","AdaFisher: Adaptive Second Order Optimization via Fisher Information"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Could you help me find papers on vision-language models for industrial anomaly detection that were published in the CVPR 2024 proceedings?","answer":["PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection","TAB: Text-Align Anomaly Backbone Model for Industrial Inspection Tasks","Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation","AnomalyGPT: Detecting Industrial Anomalies Using Large VLMs"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"please provide review articles and  research papers published between 2020 and November 1, 2025, that mechanically investigate epoxy vitrimers based on dynamic boronic ester bonds for advanced composites applications. The focus must be on quantifying the relationship between bond exchange kinetics (e.g., stress relaxation, activation energy) and macroscopic fracture or impact toughness mechanisms.","answer":["Photocurable vitrimers with malleable and self-healing trade-off enabled by manipulating dynamic boronic ester bonds","Re-Assemblable, Recyclable, and Self-Healing Epoxy Resin Adhesive Based on Dynamic Boronic Esters","Biobased boronic ester vitrimer resin from epoxidized linseed oil for recyclable carbon fiber composites","Self-Healing Polymers Design from Dynamic B-O Bonds and Their Emerging Applications","Fabrication and curing properties of o-cresol formaldehyde epoxy resin with reversible cross-links by dynamic boronic ester bonds","Experimental study on the high-velocity impact resistance of Vitrimer-based carbon fiber composites","Tough and recyclable carbon-fiber composites with exceptional interfacial adhesion via a tailored vitrimer-fiber interface","Tough and circular glass fiber composites via a tailored dynamic boronic ester interface","Molecular Simulation of Covalent Adaptable Networks and Vitrimers: A Review","Boronic Acid Esters and Anhydrates as Dynamic Cross-Links in Vitrimers","Elastic vitrimers: Beyond thermoplastic and thermoset elastomers","A chemo-mechanical fracture model for the welding interface of vitrimers","Dynamic behavior of vitrimers under high–strain rate loadings","Functional epoxy vitrimers and composites","Vitrimers: directing chemical reactivity to control material properties","An evaluation model of bearing capacity for CFRP connection structure with lightning thermal damage"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Please provide investigate fundamental research papers and reviews published from 2020 to November 1, 2025, that discuss the toughening mechanisms in epoxy resin composites modified with hyperbranched polymers (HBPE) to form semi-interpenetrating networks. The focus should be on comparative analyses or theoretical discussions addressing the respective roles and potential synergies between physical entanglement (from the semi-IPN structure) and introduced dynamic covalent bonds (e.g., Diels-Alder bonds) in energy dissipation under impact loading.","answer":["Advances in Toughening Modification Methods for Epoxy Resins: A Comprehensive Review","Enhancement of Epoxy Thermosets with Hyperbranched and Multiarm Star Polymers: A Review","Low velocity impact response and post impact assessment of carbon fiber/epoxy composites modified with Diels-Alder based healing agent. A novel approach","Highly Thermal Stable, Stiff, and Recyclable Self-Healing Epoxy Based on Diels–Alder Reaction","Synthesis of Diels-Alder Reaction-Based Remendable Epoxy Matrix and Corresponding Self-healing Efficiency to Fibrous Composites","Electrothermally responsive self-healing for carbon fiber/epoxy interphase based on Diels-Alder adducts","Synthesis of High Mechanical Strength and Thermally Recyclable and Reversible Polyurethane Adhesive by Diels–Alder Reaction"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Please search for relevant papers on sonodynamic therapy for malignant tumors, which are required to include mechanism research based on sonodynamic therapy and development of sonosensitizers, and the research content should cover in vitro experiments and in vivo experiments","answer":["Ultrasound Activated Copper-Based Sonosensizer for Dual-Amplified ROS-Mediated Tumor Therapy and Cuproptosis Induction","Sonodynamic therapy-boosted biomimetic nanoplatform targets ferroptosis and CD47 as vulnerabilities for cancer immunotherapy","Repeated 5-aminolevulinic acid mediated sonodynamic therapy using magnetic resonance guided focused ultrasound in rat brain tumour models","Focused ultrasound-augmented targeting delivery of nanosonosensitizers from homogenous exosomes for enhanced sonodynamic cancer therapy","Tumor targeting DVDMS-nanoliposomes for an enhanced sonodynamic therapy of gliomas","Autophagy blockade synergistically enhances nanosonosensitizer-enabled sonodynamic cancer nanotherapeutics","Nanosonosensitizer-Augmented Sonodynamic Therapy Combined with Checkpoint Blockade for Cancer Immunotherapy","Vacancy Augmented Piezo-Sonosensitizer for Cancer Therapy","Piezoelectric Metal-Organic Frameworks Based Sonosensitizer for Enhanced Nanozyme Catalytic and Sonodynamic Therapies","ROS Generative Black Phosphorus-Tamoxifen Nanosheets for Targeted Endocrine-Sonodynamic Synergistic Breast Cancer Therapy","A sonosensitiser‐based polymeric nanoplatform for chemo‐sonodynamic combination therapy of lung cancer","Sonodynamic-chemotherapy synergy with chlorin e6-based carrier-free nanoparticles for non-small cell lung cancer","A tumor microenvironment responsive titanium-based nanosonosensitizer for combination sonodynamic-immunotherapy with calcium ion overload","Boosting the sonodynamic performance of CoBiMn-layered double hydroxide nanoparticles via tumor microenvironment regulation for ultrasound imaging-guided sonodynamic therapy","Defect‐Engineering Bismuth‐Based Homologous Schottky Heterojunction for Metabolic Regulation‐Augmented Sonodynamic Tumor Therapy","Defect-Rich Platinum-Zinc Oxide Heterojunction as a Potent ROS Amplifier for Synergistic Sono-Catalytic Therapy","Engineering Molybdenum‐Assisted Tellurium Nanosonosensitizers for Enhanced Sonodynamic Tumor Nanotherapy","A nanodrug combining CD47 and sonodynamic therapy efficiently inhibits osteosarcoma deterioration","Sonosensitizer nanoplatform-mediated sonodynamic therapy induced immunogenic cell death and tumor immune microenvironment variation","Perfluorocarbon nanodrug induced oxygen self-enriching sonodynamic therapy improves cancer immunotherapy after insufficient radiofrequency ablation","Safe and Targeted Sonodynamic Cancer Therapy Using Biocompatible Exosome-Based Nanosonosensitizers","Ultrasmall Oxygen‐Deficient Bimetallic Oxide MnWO X Nanoparticles for Depletion of Endogenous GSH and Enhanced Sonodynamic Cancer Therapy","Sonodynamic cancer therapy by a nickel ferrite/carbon nanocomposite on melanoma tumor: In vitro and in vivo studies","An Ultrasound-Triggered Nanoplatform for Synergistic Sonodynamic-Nitric Oxide Therapy","Bifunctional Nano‐Assembly of Iridium(III) Phthalocyanine Complex Encapsulated with BSA: Hypoxia‐relieving/Sonosensitizing Effects and their Immunogenic Sonodynamic Therapy","The Immunomodulatory Effects of Fluorescein-Mediated Sonodynamic Treatment Lead to Systemic and Intratumoral Depletion of Myeloid-Derived Suppressor Cells in a Preclinical Malignant Glioma Model","Ultrasound Microbubbles Mediated Sonosensitizer and Antibody Co-delivery for Highly Efficient Synergistic Therapy on HER2-Positive Gastric Cancer","Sonoactivated Z‐Scheme Heterojunction for Enhanced Sonodynamic Mitophagy Inhibition and Triple Negative Breast Cancer Treatment","A hypoxia responsive nanoassembly for tumor specific oxygenation and enhanced sonodynamic therapy","Nuclear-targeted reactive oxygen species burst: a self-amplifying nanoplatform that overcomes hypoxia and redox barriers for enhanced sonodynamic cancer therapy","Checkpoint blockade and nanosonosensitizer-augmented noninvasive sonodynamic therapy combination reduces tumour growth and metastases in mice","Sonodynamic amplification of cGAS-STING activation by cobalt-based nanoagonist against bone and metastatic tumor","Homology and Immune Checkpoint Dual-Targeted Sonocatalytic Nanoagents for Enhancing Sonodynamic Tumor Therapy","A pH/Ultrasound dual-response biomimetic nanoplatform for nitric oxide gas-sonodynamic combined therapy and repeated ultrasound for relieving hypoxia"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"I am writing a review on sonodynamic therapy for tumors, but I have encountered problems with the chronological order of research on different sonosensitizers. Could you recommend relevant papers that clarify the development history of sonosensitizers and their combination with other therapeutic methods?","answer":["Nanomaterials Enhanced Sonodynamic Therapy for Multiple Tumor Treatment","Advances and perspectives in organic sonosensitizers for sonodynamic therapy","Sonodynamic and chemodynamic therapy based on organic/organometallic sensitizers","Sonosensitizers for Sonodynamic Therapy: Current Progress and Future Perspectives","Focused ultrasound-augmented targeting delivery of nanosonosensitizers from homogenous exosomes for enhanced sonodynamic cancer therapy","Multifunctional sonosensitizers in sonodynamic cancer therapy","Improvement of the effectiveness of sonodynamic therapy: by optimizing components and combination with other treatments","A Comprehensive Review of Inorganic Sonosensitizers for Sonodynamic Therapy","Nanosonosensitizer-Augmented Sonodynamic Therapy Combined with Checkpoint Blockade for Cancer Immunotherapy","Inorganic Sonosensitizers for Sonodynamic Therapy in Cancer Treatment","Recent exploration of inorganic sonosensitizers for sonodynamic therapy of tumors","Newly developed strategies for improving sonodynamic therapy","Modulation of reactive oxygen species to enhance sonodynamic therapy","Recent progress in metal–organic framework-based sonosensitizers for sonodynamic tumor therapy","Nanozyme Hydrogels for Self-Augmented Sonodynamic/Photothermal Combination Therapy","Ultrasound-triggered release of sinoporphyrin sodium from liposome-microbubble complexes and its enhanced sonodynamic toxicity in breast cancer","IR-780 Dye as a Sonosensitizer for Sonodynamic Therapy of Breast Tumor","Defect‐Engineering Bismuth‐Based Homologous Schottky Heterojunction for Metabolic Regulation‐Augmented Sonodynamic Tumor Therapy","Defect-Rich Platinum-Zinc Oxide Heterojunction as a Potent ROS Amplifier for Synergistic Sono-Catalytic Therapy","Bifunctional Nano‐Assembly of Iridium(III) Phthalocyanine Complex Encapsulated with BSA: Hypoxia‐relieving/Sonosensitizing Effects and their Immunogenic Sonodynamic Therapy","The Immunomodulatory Effects of Fluorescein-Mediated Sonodynamic Treatment Lead to Systemic and Intratumoral Depletion of Myeloid-Derived Suppressor Cells in a Preclinical Malignant Glioma Model","Open‐Shell Nanosensitizers for Glutathione Responsive Cancer Sonodynamic Therapy","Engineering Sonosensitizer‐Derived Nanotheranostics for Augmented Sonodynamic Therapy","Sonodynamic therapy: Rapid progress and new opportunities for non-invasive tumor cell killing with sound","Development and Application of Organic Sonosensitizers in Cancer Therapy","Metal–organic frameworks as candidates for tumor sonodynamic therapy: Designable structures for targeted multifunctional transformation","Intelligent Sonocatalytic Nanoagents for Energy Conversion‐Based Therapies","A Distinctive Insight into Inorganic Sonosensitizers: Design Principles and Application Domains","Nanosensitizer-assisted sonodynamic therapy for breast cancer","Boosting Antitumor Sonodynamic Therapy Efficacy of Black Phosphorus via Covalent Functionalization","Ultrasound Sonosensitizers for Tumor Sonodynamic Therapy and Imaging: A New Direction with Clinical Translation","Emerging Piezoelectric Sonosensitizer for ROS-Driven Sonodynamic Cancer Therapy","Ultrasound Activated Probe for Disease Imaging and Therapy In-Vivo","Immunogenic sonodynamic therapy for inducing immunogenic cell death and activating antitumor immunity","Biocompatible Fe-Hematoporphyrin coordination nanoplatforms with efficient sonodynamic-chemo effects on deep-seated tumors","Recent Advances in Nanomaterial‐Assisted Combinational Sonodynamic Cancer Therapy","Ultrasound nanotheranostics: Toward precision medicine","Small molecule sonosensitizers in cancer therapy: recent advances and clinical prospects","State of the art advancements in sonodynamic therapy (SDT): Metal-Organic frameworks for SDT","The promising interplay between sonodynamic therapy and nanomedicine","Nanosonosensitizer Optimization for Enhanced Sonodynamic Disease Treatment"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Please help me find papers from 2000–2025 that use multigrid methods in computer graphics / geometry processing, where the method constructs an explicit multilevel geometric hierarchy (e.g., coarsened meshes, nested grids, surface/mesh hierarchies) with inter-level transfer operators (prolongation/restriction) and uses multigrid cycles (V-cycle/W-cycle or equivalent) to solve large sparse linear systems (e.g., Poisson/Laplace, diffusion/smoothing, deformation, parameterization, simulation, or other geometry processing systems). I want geometric / hierarchy-based multigrid approaches, not purely algebraic multigrid (AMG). Please also exclude voxel-grid/volumetric-grid multigrid methods (e.g., multigrid on regular 3D grids, octree voxel grids, or methods whose primary discretization is volumetric rather than surface/mesh-based). You may prioritize graphics/geometry venues and journals such as TOG, TVCG, CGF, CAGD, CAD, and Graphical Models, but do not strictly restrict to only these venues if it would reduce the results too much.","answer":["Surface Multigrid via Intrinsic Prolongation","A Fast Geometric Multigrid Method for Curved Surfaces","Surface Simplification using Intrinsic Error Metrics","Multigrid methods for discrete elliptic problems on triangular surfaces","Agglomeration-Based Geometric Multigrid Solvers for Compact Discontinuous Galerkin Discretizations on Unstructured Meshes","Laplacian Guided Editing, Synthesis, and Simulation, IEEE Pacific Graphics","An Adaptive Deformation Method Based on Hierarchical Progressive Meshes, International Conference on Networking and Services","Smoothed prolongation multigrid with rapid coarsening and massive smoothing, Applications of Mathematics","Accelerating multigrid solver with generative super-resolution, arXiv preprint","Multigrid methods for isogeometric discretization","Multilevel Solvers for Unstructured Surface Meshes"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please find learning-based LiDAR point cloud denoising papers for extreme weather (rain, snow, or fog) published between 2022 and 2025. The research should focus on noise removal methods and provide performance evaluations using IoU or similar metrics against established denoising baselines.","answer":["TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather","4DenoiseNet: Adverse Weather Denoising from Adjacent Point Clouds","LiSnowNet: Real-time Snow Removal for LiDAR Point Clouds","AdverseNet: A LiDAR Point Cloud Denoising Network for Autonomous Driving in Rainy, Snowy, and Foggy Weather","AdWeatherNet: Adverse Weather Denoising with Spatiotemporal Attention","Multi-Echo Denoising in Adverse Weather","An improved point cloud denoising method in adverse weather conditions based on PP-LiteSeg network","CNN-based Lidar Point Cloud De-Noising in Adverse Weather","TADNet: A Time and Attention-Based Point Cloud Denoising Network for Autonomous Driving in Adverse Weather"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I am currently conducting two tracking studies based on Broad Learning: 1) I have integrated BLS with the DiMP tracker, but this method shows significant tracking accuracy degradation in fast motion and occlusion scenarios; 2) I plan to migrate BLS to RGBT single object tracking, but I haven’t yet found a BLS fusion strategy suitable for RGB-thermal infrared cross-modal features. Could you recommend relevant papers that provide specific methods for BLS to improve the robustness of single object tracking and achieve efficient cross-modal feature fusion in RGBT scenarios?","answer":["An Improvement Method of Target Tracking Based on Broad Learning System With Scale and Drift Correction","Target tracking method of Siamese networks based on the broad learning system","Target tracking algorithm based on a broad learning system"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Could you help check whether there are any papers that study audio deepfake detection methods not limited to predicting the authenticity of audio, but instead perform fine-grained temporal localization of manipulated segments using deep learning?  These works exclude multimodal approaches, focus solely on single-channel speech audio, and are published between January 2022 and November 1, 2025.","answer":["LENS-DF: Deepfake Detection and Temporal Localization for Long-Form Noisy Speech","Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization","Localizing Fake Segments in Speech","Integrating frame-level boundary detection and deepfake detection for locating manipulated regions in partially spoofed audio forgery attacks","Frame-level Temporal Difference Learning for Partial Deepfake Speech Detection","Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism","An Efficient Temporary Deepfake Location Approach Based Embeddings for Partially Spoofed Audio Detection","Waveform Boundary Detection for Partially Spoofed Audio","The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance","HarmoNet: Partial DeepFake Detection Network based on Multi-scale HarmoF0 Feature Fusion","The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 2023","TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection","PartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech Editing","Robust Localization of Partially Fake Speech: Metrics and Out-of-Domain Evaluation","Partially Fake Audio Detection Based on MOSNet with Pretraining Models","An Improved System for Partially Fake Audio Detection Using Pre-trained Model","Applied Sciences, Vol. 14, Pages 4882: An Audio Copy-Move Forgery Localization Model by CNN-Based Spectral Analysis","Local Self-Attention based Hybrid Multiple Instance Learning for Partial Spoof Speech Detection","Audio Splicing Detection and Localization Based on Acquisition Device Traces","Audio splicing detection and localization using multistage filterbank spectral sketches and decision fusion","Point to the Hidden: Exposing Speech Audio Splicing via Signal Pointer Nets","Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network","FakeSound: Deepfake General Audio Detection","NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation","Forensic Analysis and Localization of Multiply Compressed MP3 Audio Using Transformers","Towards Unconstrained Audio Splicing Detection and Localization with Neural Networks","ASLNet: An Encoder-Decoder Architecture for Audio Splicing Detection and Localization","ADD 2023: the Second Audio Deepfake Detection Challenge","TransHFC: Joints Hypergraph Filtering Convolution and Transformer Framework for TemporalForgery Localization","Deep Spectro-temporal Artifacts for Detecting Synthesized Speech","Analyzing the Impact of Splicing Artifacts in Partially Fake Speech Signals"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Cyberspace Security"}}
{"question":"Could you help me check if there are any papers researching audio deepfake detection methods based on unsupervised deep learning, without multimodal, only audio modal, and released between January 1, 2022 and November 1, 2025?","answer":["Anomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching","One-Class Learning with Adaptive Centroid Shift for Audio Deepfake Detection","Frame-level Temporal Difference Learning for Partial Deepfake Speech Detection","Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Cyberspace Security"}}
{"question":"Specific experimental methods for verifying bronchiectasis characteristic changes in mouse animal experiments, requiring literature support for experimental design.","answer":["Measuring the lung function in the mouse: the challenge of size","The applicability of mouse models to the study of human disease","Atelectasis and bronchiectasis: an experimental study concerning their relationship","A comprehensive approach to lung function in bronchiectasis","Optimising experimental research in respiratory diseases: an ERS statement","Experimental animal models for COPD: a methodological review","Lung disease in mice with cystic fibrosis.","Noninvasive and invasive pulmonary function in mouse models of obstructive and restrictive respiratory diseases","Forced expiration measurements in mouse models of obstructive and restrictive lung diseases","Measuring lung function in mice: the phenotyping uncertainty principle","A juvenile murine model with chronic lung inflammation induced by repeated intratracheal instillation of lipopolysaccharides: a versatile and replicable model","In vivo MRI and PET imaging in a translational ILD mouse model expressing non-resolving fibrosis and bronchiectasis-like pathology after repeated systemic exposure to bleomycin","Deletion of airway cilia results in noninflammatory bronchiectasis and hyperreactive airways","Persistent, Progressive Pulmonary Fibrosis and Epithelial Remodeling in Mice","In vivo monitoring of cystic fibrosis-like lung disease in mice by volumetric computed tomography","µCT to quantify muco-obstructive lung disease and effects of neutrophil elastase knockout in mice","Mice with lung airway ciliopathy develop persistent Mycobacterium abscessus lung infection and have a proinflammatory lung phenotype associated with decreased T regulatory cells","Increased airway epithelial Na+ absorption produces cystic fibrosis-like lung disease in mice","Development of chronic bronchitis and emphysema in beta-epithelial Na+ channel-overexpressing mice","The ENaC-overexpressing mouse as a model of cystic fibrosis lung disease","Genetically determined heterogeneity of lung disease in a mouse model of airway mucus obstruction","Neutrophil extracellular traps are present in the airways of ENaC-overexpressing mice with cystic fibrosis-like lung disease","Murine models of chronic Pseudomonas aeruginosa lung infection","Novel mouse model of chronic Pseudomonas aeruginosa lung infection mimicking cystic fibrosis","In vivo micro-CT assessment of airway remodeling in a flexible OVA-sensitized murine model of asthma","A Quantitative Study of Airway Changes on Micro-CT in a Mouse Asthma Model: Comparison With Histopathological Findings","Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT","Phase-contrast X-ray tomography resolves the terminal bronchioles in free-breathing mice","Phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity","Quantification of lung fibrosis and emphysema in mice using automated micro-computed tomography","Longitudinal assessment of bleomycin-induced lung fibrosis by Micro-CT correlates with histological evaluation in mice","Role of TRPP2 in mouse airway smooth muscle tension and respiration","Real-time in vivo imaging of regional lung function in a mouse model of cystic fibrosis on a laboratory X-ray source","Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry","Murine models of infectious exacerbations of airway inflammation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Molecular Biology and Genetics"}}
{"question":"Whole exome sequencing identifies novel mutations in the XX gene in individuals with age-related hearing loss, studying the pathways leading to hearing impairment through this gene mutation.","answer":["Whole exome sequencing in adult-onset hearing loss reveals a high load of predicted pathogenic variants in known deafness-associated genes and identifies new candidate genes","Whole-genome sequencing reveals new insights into age-related hearing loss: cumulative effects, pleiotropy and the role of selection","A large genome-wide association study of age-related hearing impairment using electronic health records","Connexin mutations and hereditary diseases","Genetic Architecture of Non-Syndromic Hearing Impairment in Ghana","Genetics of age‐related hearing loss","A Multi-omic approach to genetic hearing loss in the Newfoundland founder population","Next-generation sequencing identifies mutations of SMPX, which encodes the small muscle protein, X-linked, as a cause of progressive hearing impairment","Rare-variant association analysis reveals known and new age-related hearing loss genes","Systematic genetic assessment of hearing loss using whole-genome sequencing identifies pathogenic variants","Investigating the characteristics of genes and variants associated with self-reported hearing difficulty in older adults in the UK Biobank","The genetic architecture of age-related hearing impairment revealed by genome-wide association analysis","Ultrarare heterozygous pathogenic variants of genes causing dominant forms of early-onset deafness underlie severe presbycusis","Population-scale analysis of common and rare genetic variation associated with hearing loss in adults","Large-scale audiometric phenotyping identifies distinct genes and pathways involved in hearing loss subtypes","Next Generation Sequencing and Animal Models Reveal SLC9A3R1 as a New Gene Involved in Human Age-Related Hearing Loss","Use of zebrafish models to investigate rare human disease","Identification and Characterization of an Inner Ear-Expressed Human Melanoma Inhibitory Activity (MIA)-like Gene (MIAL) with a Frequent Polymorphism That Abolishes Translation","GRM7 variants confer susceptibility to age-related hearing impairment"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Molecular Biology and Genetics"}}
{"question":"Please provide papers published about the Study of the social risk governance model. The papers should be released before the end of 2025.","answer":["Researchers' perspectives on supply chain risk management","Cybersecurity Risks and Incidents Disclosure: A Literature Review*","Leveraging AI-Driven ESG Risk Management Models to Enhance Social Equity and Governance in Financial Institutions","The social construction of systemic risk: Towards an actionable framework for risk governance","Social Management of Gender Imbalance in China: A Holistic Governance Framework","The Model, Dilemma and Outlet of Resilience Governance of Grassroots Community from the Perspective of Risk Society","Artificial intelligence foundation model risk identification and governance model from ESG perspective","Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance","Building a Governance Reference Model for a Specific Enterprise: Addressing Social Challenges Through Structured Solution","Multiple Hazards and Governance Model in the Barranquilla Metropolitan Area, Colombia","ICT Green Governance: new generation model based on Corporate Social Responsibility and Green IT","The challenge of reconciling conservation and development in the tropics: Lessons from Brazil’s oil palm governance model","Extreme Fire Events in Wildland–Urban Interface Areas: A Review of the Literature Concerning Determinants for Risk Governance","Adaptive and integrative governance on risk and uncertainty","Risk Governance: Application to Urban Challenges","A Framework of Adaptive Risk Governance for Urban Planning","Global Governance Dimensions of Globally Networked Risks: The State of the Art in Social Science Research","Principles for the consideration of intersectionality in place‐based disaster risk governance in islands","Breaking down the silos: Building resilience through cohesive and collaborative social networks","Multi-level network governance of disaster risks: the case of the Metropolitan Region of the Aburra Valley (Medellin, Colombia)","Legitimate adaptive flood risk governance beyond the dikes: the cases of Hamburg, Helsinki and Rotterdam","Food safety risk behavior and social Co-governance in the food supply chain","Social Risk Early Warning of Environmental Damage of Large-Scale Construction Projects in China Based on Network Governance and LSTM Model","Risk Governance of Nanomaterials: Review of Criteria and Tools for Risk Communication, Evaluation, and Mitigation","Taking connectedness seriously. A research agenda for holistic safety and security risk governance","Implications of legal scrutiny processes (including the L’Aquila trial and other recent court cases) for future volcanic risk governance","The Mutable Nature of Risk and Acceptability: A Hybrid Risk Governance Framework","Public involvement in risk governance in the internet era: impact of new rules of building trust and credibility","The “Artificial Intelligence + Social Governance” Mode: Risk Prevention and Governance Ability Improvement","Dam safety and risk governance for hydroelectric power plants in the Amazon","Integrated risk assessment and risk governance as socio-political phenomena: A synthetic view of the challenges","Governance drivers hinder and support a paradigm shift in wildfire risk management in Italy","Meeting institutional criteria for social resilience: a nested risk system model","Social Risk Management: A New Conceptual Framework for Social Protection, and Beyond","Assessing climate change scenarios in the Amazon Basin: a risk governance model","Risk Management for Development-Assessing Obstacles and Prioritizing Action","Learning and Action Alliance framework to facilitate stakeholder collaboration and social learning in urban flood risk management","Governance of artificial intelligence: A risk and guideline-based integrative framework","Flood-tech frontiers: smart but just? A systematic review of AI-driven urban flood adaptation and associated governance challenges","Identification, establishment of connection, and clustering of social risks involved in the agri-food supply chains: a cross-country comparative study","Invested Costs and Risk Control Model of Social Governance Based on Fuzzy Algorithm"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Management"}}
{"question":"Could you please help me find influence factors for Nimby risk governace model?","answer":["Research on the Paths and Effectiveness of Governance Tools Based on the Evolution of Environmental NIMBY Event","Exploring Factors Influencing Scenarios Evolution of Waste NIMBY Crisis: Analysis of Typical Cases in China","A comprehensive risk management framework for NIMBY projects: Integrating social network analysis and risk transmission chains","Evaluation on the implementation effect of public participation in the decision-making of NIMBY facilities","How Relevant is NIMBYism to Citizens’ Support for the Large-Scale Deployment of Public Goods? Experimental Evidence from 5G Antenna Placement in Switzerland","邻避设施决策的公共价值失灵危机及其治理——基于“垃圾焚烧发电项目”的实证考察","风险建构、机会结构与科技风险型邻避抗争的逻辑——以青岛H小区基站抗争事件为例","我国城市社区邻避空间风险生产的实践样态与治理","邻避冲突的产生与演变逻辑探析——基于对A煤矿设施当地民众的实证调查","邻避冲突的多元组合路径与治理策略：基于清晰集的两阶段定性比较分析","邻避事件治理的定性比较研究——基于动机-能力框架","功能论视角下邻避冲突的治理实践与框架构建：基于典型案例的经验","协商民主视角下的邻避冲突治理","“中国式”邻避冲突：基于事件的分析","Reversing NIMBY: An assessment of state strategies for siting hazardous-waste facilities","Blame avoidance of street-level bureaucrats in 5G NIMBY crisis decision making: Evidence from a list experiment","How Can China Resolve the NIMBY Dilemma in a Network Society? Government and Society-Negotiated Decisions Based on Evolutionary Game Analysis","Issues of NIMBY conflict management from the perspective of stakeholders: A case study in Shanghai","Same projects, different endings—Comparative case studies on NIMBY facility construction in Beijing","Public participation in NIMBY risk mitigation: A discourse zoning approach in the Chinese context","Nip risk in the bud: A system dynamic model to govern NIMBY conflict","Network Communication and Persuasion Model for NIMBY Risk Disclosure Mechanism: Private Information Sources and Trust-driven Learning","权威应援、资源整合与外压中和：邻避抗争治理中政策工具的选择逻辑——基于（fsQCA）模糊集定性比较分析","公共价值视阈下的中国邻避问题研究——一个整合性理论框架","从“邻避管控”到“邻避治理”：中国邻避问题治理路径转型","邻避效应：公益性项目的补偿机制与公民参与","“邻避冲突”理论及其对邻避型群体性事件治理的启示","Governance Practice and Framework Construction of NIMBY Conflict from the Perspective of Functionalism:Based on Typical Cases","Not on my block you don't - facilities siting and the strategic importance of compensation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Management"}}
{"question":"Please help me find papers on two-dimensional ferroelectric metal WTe?, with the following specific requirements: the research must include investigation of its ferroelectric domains via Piezoelectric Force Microscopy (PFM) and characterization of device performance.","answer":["Ferroelectric switching of a two-dimensional metal","A room-temperature ferroelectric semimetal","Sub-nanosecond polarization switching with anomalous kinetics in vdW ferroelectric WTe 2","Vertical ferroelectric switching by in-plane sliding of two-dimensional bilayer WTe 2","Polar Ohmic Contact Switching with a Ferroelectric Metal"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Information Engineering"}}
{"question":"Could you help check whether there are any papers that investigate the moiré ferroelectric effect in twisted graphene systems and include experimental data from piezoelectric force microscopy (PFM) testing, but do not involve the induction or modulation of ferroelectricity through simple electrostatic doping, such as top/back gating?","answer":["Visualization of moiré superlattices","Giant ferroelectric polarization in a bilayer graphene heterostructure","Engineering band structures of two-dimensional materials with remote moiré ferroelectricity","Visualizing moiré ferroelectricity via plasmons and nano-photocurrent in graphene/twisted-WSe2 structures","Visualization of unconventional interfacial ferroelectricity in parallel-stacked twisted double bilayer graphene","Unraveling Strain Gradient Induced Electromechanical Coupling in Twisted Double Bilayer Graphene Moiré Superlattices","Mechanical, electronic, optical, piezoelectric and ferroic properties of strained graphene and other strained monolayers and multilayers: an update","Stacking Order Engineering of Two-Dimensional Materials and Device Applications","Quantum Phase Transitions in Graphene Coupled to a Twisted WSe2 Moiré Ferroelectricity","Domino-like stacking order switching in twisted monolayer-multilayer graphene","Engineering Polar Vortices via Strain Soliton Interactions in Marginally Twisted Multilayer Graphene"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Information Engineering"}}
{"question":"Please provide me with a paper containing the following keywords: traditional Chinese medicine, health products, and uric acid reduction. The papers should be released before the end of 2025.","answer":["A Narrative Pharmacological Review: Current Research Status of in vivo and in vitro Applications of Natural Spice Celery Seed","Integrative Network Pharmacology and Molecular Docking Approaches in Herbal Medicine Research. A Systematic Review of Applications, Advances, and Translational Potential","Uric acid-lowering activity and mechanisms of Chinese medicines with medicine-food homology: a systematic study","The anti-hyperuricemia potential of bioactive natural products and extracts derived from traditional Chinese medicines: A review and perspective","Advances in Traditional Chinese Medicine for the treatment of hyperuricemia and associated diseases: pathogenesis, mechanisms, and future directions","Therapeutic potential and pharmacological mechanisms of Traditional Chinese Medicine in gout treatment","Eucommia folium can be Prepared as a Tea with the Ability to Prevent and Treat Hyperuricaemia","Houttuynia cordata traditional extract regulates uric acid transporter and reduces xanthine oxidase activity in hyperuricemic mice","Puerarin-rich compound Puerariae lobatae formulas alleviate hyperuricemia in mice by enhancing renal and intestinal function through regulating gut microbiota","The Molecular Mechanism of Polysaccharides from Polygonatum cyrtonema Hua in Improving Hyperuricemia by Regulating Key Targets of Uric Acid Metabolism in Mice","Network Pharmacology Combined with Experimental Validation to Investigate the Mechanism of the Anti-Hyperuricemia Action of Portulaca oleracea Extract","Chinese Sumac (Rhus chinensis Mill.) Fruits Prevent Hyperuricemia and Uric Acid Nephropathy in Mice Fed a High-Purine Yeast Diet","Mulberry (Fructus mori) extract alleviates hyperuricemia by regulating urate transporters and modulating the gut microbiota","Functional Food Potential of Chrysanthemum morifolium, Perilla frutescens, and Sophora japonica in Managing Hyperuricemia through Dual Enzyme Inhibition","Bioactivity and Component Analysis of Water Extract of Sophora japonica against Hyperuricemia by Inhibiting Xanthine Oxidase Activity","Kidney tea ameliorates hyperuricemia in mice via altering gut microbiota and restoring metabolic profile","Anti-hyperuricemia effect of Clerodendranthus spicatus: a molecular biology study combined with metabolomics","Chicory (Cichorium intybus L.) inhibits renal reabsorption by regulating expression of urate transporters in fructose-induced hyperuricemia","Cichorium intybus L. promotes intestinal uric acid excretion by modulating ABCG2 in experimental hyperuricemia","Effects of Chicory on Serum Uric Acid, Renal Function, and GLUT9 Expression in Hyperuricaemic Rats with Renal Injury and In Vitro Verification with Cells","Chicory ameliorates hyperuricemia via modulating gut microbiota and alleviating LPS/TLR4 axis in quail","Hypouricaemic and nephroprotective effects of Poria cocos in hyperuricemic mice by up-regulating ATP-binding cassette super-family G member 2","Integrating metabolomics with network pharmacology to reveal the mechanism of Poria cocos in hyperuricemia treatment","Dendrobium officinalis six nostrum ameliorates urate under-excretion and protects renal dysfunction in lipid emulsion-induced hyperuricemic rats","Molecular mechanistic insight into the anti-hyperuricemic effect of Eucommia ulmoides in mice and rats","Anti-hyperuricemic and anti-gouty arthritis activities of polysaccharide purified from Lonicera japonica in model rats","Effects and mechanisms of Polygonati Rhizoma polysaccharide on potassium oxonate and hypoxanthine-induced hyperuricemia in mice","Identification of inhibitors from a functional food-based plant Perillae Folium against hyperuricemia via metabolomics profiling, network pharmacology and all-atom molecular dynamics simulations","Research progress on the prevention and treatment of hyperuricemia by medicinal and edible plants and its bioactive components","Traditional Chinese medicine in the treatment of patients with hyperuricemia: A randomized placebo-controlled double-blinded clinical trial","Traditional Chinese herbs and natural products in hyperuricemia-induced chronic kidney disease","Hyperuricemia research progress in model construction and traditional Chinese medicine interventions","Simiao pills alleviates renal injury associated with hyperuricemia: A multi-omics analysis","Phyllanthi Fructus ameliorates hyperuricemia and kidney injure via inhibiting uric acid synthesis, modulating urate transporters, and alleviating inflammation","Ilex cornuta leaves extracts ameliorate hyperuricemia by modulating uric acid transporters","In vivo anti-hyperuricemia and anti-gouty arthritis effects of the ethanol extract from Amomumvillosum Lour.","Effects and Mechanisms of Dendrobium officinalis Six Nostrum for Treatment of Hyperuricemia with Hyperlipidemia","Fufang Zhenzhu Tiaozhi capsule ameliorates hyperuricemic nephropathy by inhibition of PI3K/AKT/NF-κB pathway","Synergistic Impacts of Alpinia oxyphylla Seed Extract and Allopurinol against Experimental Hyperuricemia","Chinese Herbal Formulas Si-Wu-Tang and Er-Miao-San Synergistically Ameliorated Hyperuricemia and Renal Impairment in Rats Induced by Adenine and Potassium Oxonate","Ameliorative effect and mechanism of Yi‐Suan‐Cha against hyperuricemia in rats","Green tea polyphenols decreases uric acid level through xanthine oxidase and renal urate transporters in hyperuricemic mice","The molecular insight into the antihyperuricemic and renoprotective effect of Shuang Qi gout capsule in mice","Potential Anti-Gout Properties of Wuwei Shexiang Pills Based on Network Pharmacology and Pharmacological Verification","Herbs for Gout","A Chinese herbal medicine Ermiao wan reduces serum uric acid level and inhibits liver xanthine dehydrogenase and xanthine oxidase in mice","Investigation of the Mechanism of Action of Simiao Pill Against Gout Using Network Pharmacology and Experimental Validation","Investigation of the mechanism of action of Porana sinensis Hemsl. against gout arthritis using network pharmacology and experimental validation","Potential Molecular Mechanisms of Plantain in the Treatment of Gout and Hyperuricemia Based on Network Pharmacology","Study of the Treatment Effects of Compound Tufuling Granules in Hyperuricemic Rats Using Serum Metabolomics","Si Miao San relieves hyperuricemia by regulating intestinal flora","Modified Simiaowan prevents and treats gouty arthritis via the Nrf2/NLRP3 inflammasome signaling pathway","Chinese Medicine Huzhen Tongfeng Formula Effectively Attenuates Gouty Arthritis by Inhibiting Arachidonic Acid Metabolism and Inflammatory Mediators"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Pharmacy"}}
{"question":"I am currently researching the use of traditional Chinese medicine to make health supplements for the treatment of hyperuricemia. Please search for some relevant papers for me as a theoretical basis","answer":["Hyperuricemia research progress in model construction and traditional Chinese medicine interventions","Traditional Chinese herbal medicine plays a role in the liver, kidney, and intestine to ameliorate hyperuricemia according to experimental studies","Research Progress on the Homologous Effects of Cichorium glandulosum Boiss. et Huet on Medicine and Food: A Review","Herbal medicine in andrology","Overview of the pharmacokinetics and pharmacodynamics of URAT1 inhibitors for the treatment of hyperuricemia and gout","Uric acid-lowering activity and mechanisms of Chinese medicines with medicine-food homology: a systematic study","The anti-hyperuricemia potential of bioactive natural products and extracts derived from traditional Chinese medicines: A review and perspective","Advances in Traditional Chinese Medicine for the treatment of hyperuricemia and associated diseases: pathogenesis, mechanisms, and future directions","Research progress on the prevention and treatment of hyperuricemia by medicinal and edible plants and its bioactive components","Houttuynia cordata traditional extract regulates uric acid transporter and reduces xanthine oxidase activity in hyperuricemic mice","Puerarin-rich compound Puerariae lobatae formulas alleviate hyperuricemia in mice by enhancing renal and intestinal function through regulating gut microbiota","The Efficacy and Mechanism of Chinese Herbal Medicines in Lowering Serum Uric Acid Levels: A Systematic Review","Traditional Chinese herbs and natural products in hyperuricemia-induced chronic kidney disease","Network Pharmacology Combined with Experimental Validation to Investigate the Mechanism of the Anti-Hyperuricemia Action of Portulaca oleracea Extract","Chinese Sumac (Rhus chinensis Mill.) Fruits Prevent Hyperuricemia and Uric Acid Nephropathy in Mice Fed a High-Purine Yeast Diet","Functional Food Potential of Chrysanthemum morifolium, Perilla frutescens, and Sophora japonica in Managing Hyperuricemia through Dual Enzyme Inhibition","Identification of inhibitors from a functional food-based plant Perillae Folium against hyperuricemia via metabolomics profiling, network pharmacology and all-atom molecular dynamics simulations","Identifying mechanisms underlying the amelioration effect of Chrysanthemum morifolium Ramat. 'Boju' extract on hyperuricemia using biochemical characterization and UPLC-ESI-QTOF/MS-based metabolomics","Hypouricemic Effects of Chrysanthemum indicum L. and Cornus officinalis on Hyperuricemia-Induced HepG2 Cells, Renal Cells, and Mice","Kidney tea ameliorates hyperuricemia in mice via altering gut microbiota and restoring metabolic profile","DKB114, A Mixture of Chrysanthemum Indicum Linne Flower and Cinnamomum Cassia (L.) J. Presl Bark Extracts, Improves Hyperuricemia through Inhibition of Xanthine Oxidase Activity and Increasing Urine Excretion","Anti-hyperuricemia effect of Clerodendranthus spicatus: a molecular biology study combined with metabolomics","Administered chrysanthemum flower oil attenuates hyperuricemia: mechanism of action as revealed by DNA microarray analysis","Cichorium intybus L. promotes intestinal uric acid excretion by modulating ABCG2 in experimental hyperuricemia","Anti-Hyperuricemic Effects of Extracts from Chaenomeles speciosa (Sweet) Nakai Fruits on Hyperuricemic Rats","Effects of Macroporous Resin Extract of Dendrobium officinale Leaves in Rats with Hyperuricemia Induced by Fructose and Potassium Oxonate","Chicory ameliorates hyperuricemia via modulating gut microbiota and alleviating LPS/TLR4 axis in quail","Hypouricaemic and nephroprotective effects of Poria cocos in hyperuricemic mice by up-regulating ATP-binding cassette super-family G member 2","[Effect of Chinese herb chicory extract on expression of renal transporter Glut9 in rats with hyperuricemia]","Integrating metabolomics with network pharmacology to reveal the mechanism of Poria cocos in hyperuricemia treatment","Green tea polyphenols decreases uric acid level through xanthine oxidase and renal urate transporters in hyperuricemic mice","Molecular mechanistic insight into the anti-hyperuricemic effect of Eucommia ulmoides in mice and rats","Anti-hyperuricemic and nephroprotective effects of extracts from Chaenomeles sinensis (Thouin) Koehne in hyperuricemic mice","Ganoderma lucidum polysaccharide peptide alleviates hyperuricemia by regulating adenosine deaminase and urate transporters","Saengmaeksan, a traditional herbal formulation consisting of Panax ginseng, ameliorates hyperuricemia by inhibiting xanthine oxidase activity and enhancing urate excretion in rats","Korean Red Ginseng Ameliorates the Level of Serum Uric Acid via Downregulating URAT1 and Upregulating OAT1 and OAT3","Traditional Chinese medicine in the treatment of patients with hyperuricemia: A randomized placebo-controlled double-blinded clinical trial","The Effects of Ginsenosides and Anserine on the Up-Regulation of Renal Aquaporins 1-4 in Hyperuricemic Mice","Actions of water extract from Cordyceps militaris in hyperuricemic mice induced by potassium oxonate combined with hypoxanthine","Cordycepin, a Characteristic Bioactive Constituent in Cordyceps militaris, Ameliorates Hyperuricemia through URAT1 in Hyperuricemic Mice","Hypouricemic actions of exopolysaccharide produced by Cordyceps militaris in potassium oxonate-induced hyperuricemic mice","Multi-omics analysis reveals therapeutic effects of Bacillus subtilis-fermented Astragalus membranaceus in hyperuricemia via modulation of gut microbiota","The inhibitory effect of Astragalus flavone extract on hyperuricemia and its underlying molecular mechanism by targeting JNK/AP-1/NLRP3/IL-1β signaling pathway","Nuciferine restores potassium oxonate-induced hyperuricemia and kidney inflammation in mice","1H NMR and UHPLC/Q-Orbitrap-MS-Based Metabolomics Combined with 16S rRNA Gut Microbiota Analysis Revealed the Potential Regulation Mechanism of Nuciferine in Hyperuricemia Rats","Baicalein alleviates hyperuricemia by promoting uric acid excretion and inhibiting xanthine oxidase","Baicalein decreases uric acid and prevents hyperuricemic nephropathy in mice","Apigenin ameliorates hyperuricemic nephropathy by inhibiting URAT1 and GLUT9 and relieving renal fibrosis via the Wnt/β-catenin pathway","Isorhamnetin, the xanthine oxidase inhibitor from Sophora japonica, ameliorates uric acid levels and renal function in hyperuricemic mice","Effect of Berberine on Hyperuricemia and Kidney Injury: A Network Pharmacology Analysis and Experimental Validation in a Mouse Model","Berberine Attenuates Hyperuricemia by Regulating Urate Transporters and Gut Microbiota","Berberine Regulates the Metabolism of Uric Acid and Modulates Intestinal Flora in Hyperuricemia Rats Model","NMR-Based Metabonomic Study Reveals Intervention Effects of Polydatin on Potassium Oxonate-Induced Hyperuricemia in Rats","Polydatin attenuates potassium oxonate-induced hyperuricemia and kidney inflammation by inhibiting NF-κB/NLRP3 inflammasome activation via the AMPK/SIRT1 pathway","[Anti-hyperuricemia effect and mechanism of polydatin in mice]","Protective effects of cortex fraxini coumarines against oxonate-induced hyperuricemia and renal dysfunction in mice","Research on the pharmacodynamics and mechanism of Fraxini Cortex on hyperuricemia based on the regulation of URAT1 and GLUT9","Comparative pharmacokinetic study of the main components of cortex fraxini after oral administration in normal and hyperuricemic rats","Anti-hyperuricemic and nephroprotective effects of Smilax china L","Study on the correlation between constituents detected in serum from Rhizoma Smilacis Glabrae and the reduction of uric acid levels in hyperuricemia","Effects of Smilaxchinoside A and Smilaxchinoside C, two steroidal glycosides from Smilax riparia, on hyperuricemia in a mouse model","Effects of Smilax China L. extracts on Hyperuricemia chicken model via inhibiting xanthine oxidase activity","The dual actions of Sanmiao wan as a hypouricemic agent: down-regulation of hepatic XOD and renal mURAT1 in hyperuricemic mice","Simiao pill ameliorates urate underexcretion and renal dysfunction in hyperuricemic mice","Anti-hyperuricemic and nephroprotective effects of Modified Simiao Decoction in hyperuricemic mice","Serum Metabolic Profiling Analysis of Gout Patients Treated with Traditional Chinese Medicine Tongfengtai Granules Based on Gas Chromatography-Mass Spectrometry","Traditional Uighur Medicine Karapxa decoction, inhibits liver xanthine oxidase and reduces serum uric acid concentrations in hyperuricemic mice and scavenges free radicals in vitro","Inhibition of xanthine oxidase by some Chinese medicinal plants used to treat gout","Simiao pills alleviates renal injury associated with hyperuricemia: A multi-omics analysis","Phyllanthi Fructus ameliorates hyperuricemia and kidney injure via inhibiting uric acid synthesis, modulating urate transporters, and alleviating inflammation","Ilex cornuta leaves extracts ameliorate hyperuricemia by modulating uric acid transporters","Effects and Mechanisms of Dendrobium officinalis Six Nostrum for Treatment of Hyperuricemia with Hyperlipidemia","Fufang Zhenzhu Tiaozhi capsule ameliorates hyperuricemic nephropathy by inhibition of PI3K/AKT/NF-κB pathway","Hypouricemic Effects of Ganoderma applanatum in Hyperuricemia Mice through OAT1 and GLUT9","Chinese Herbal Formulas Si-Wu-Tang and Er-Miao-San Synergistically Ameliorated Hyperuricemia and Renal Impairment in Rats Induced by Adenine and Potassium Oxonate","Ameliorative effect and mechanism of Yi‐Suan‐Cha against hyperuricemia in rats","The molecular insight into the antihyperuricemic and renoprotective effect of Shuang Qi gout capsule in mice","Chimonanthus nitens Oliv. leaves flavonoids alleviate hyperuricemia by regulating uric acid metabolism and intestinal homeostasis in mice","Data mining-guided alleviation of hyperuricemia by Paeonia veitchii Lynch through inhibition of xanthine oxidase and regulation of renal urate transporters","“Kidney Tea” and Its Bioactive Secondary Metabolites for Treatment of Gout","Sanghuangporus vaninii ethanol extract alleviates hyperuricemic renal injury by regulating the uric acid transporters and inhibiting HK-2 apoptosis","Ameliorative effect of cheqianzi decoction on hyperuricemia and kidney injury and underlying mechanism in rats","Wuling San Based on Network Pharmacology and in vivo Evidence Against Hyperuricemia via Improving Oxidative Stress and Inhibiting Inflammation","Total glucosides of herbaceous peony (Paeonia lactiflora Pall.) flower attenuate adenine- and ethambutol-induced hyperuricaemia in rats","The renoprotective anti-hyperuricemia effect of Cornus officinalis extract in hyperuricemia rats based on network pharmacology and multiple omics"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Pharmacy"}}
{"question":"Please help me find papers on aberration correction methods that include point spread function simulations and real-machine experiments with lens-based displayed systems. The method should be to pre-apply an algorithm on the image source to account for the effects of aberrations. The papers should be released before Nov. 2025 and after Jan. 2020.","answer":["Optical aberration analysis of light field displays: a calibration approach for enhanced performance","Light field displays with computational vision correction for astigmatism and high-order aberrations with real-time implementation","Optical aberrations correction in postprocessing using imaging simulation","Image edge smoothing method for light-field displays based on joint design of optical structure and elemental images","Correcting optical aberration via depth-aware point spread functions","Aberration correction based on a pre-correction convolutional neural network for light-field displays","End-to-end optimization of a diffractive optical element and aberration correction for integral imaging","Dual convolutional neural network for aberration pre-correction and image quality enhancement in integral imaging display","Regional selection-based pre-correction of lens aberrations for light-field displays","Display performance optimization method for light field displays based on a neural network","Optical Aberration Correction in Postprocessing using Imaging Simulation","Aberration pre-correction for a simple optical system of HMDs","Real-Time Computational Visual Aberration Correcting Display Through High-Contrast Inverse Blurring","Ring deconvolution microscopy: exploiting symmetry for efficient spatially varying aberration correction","Wavefront Coding for Accommodation-Invariant Near-Eye Displays","Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy","Aberration Modeling in Deep Learning for Volumetric Reconstruction of Light‐Field Microscopy","Near-real-time diagnosis of electron optical phase aberrations in scanning transmission electron microscopy using an artificial neural network","Non-stationary correction of optical aberrations","Wavefront aberration correction for integral imaging with the pre-filtering function array","Depth of field expansion method for integral imaging based on diffractive optical element and CNN"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Optics and Electronic Information Technology"}}
{"question":"Please help me find papers on aberration pre-correction methods for integral imaging displays that published on a journal under the Optica Group.","answer":["Aberration correction based on a pre-correction convolutional neural network for light-field displays","End-to-end optimization of a diffractive optical element and aberration correction for integral imaging","Dual convolutional neural network for aberration pre-correction and image quality enhancement in integral imaging display","Wavefront aberration correction for integral imaging with the pre-filtering function array","Depth of field expansion method for integral imaging based on diffractive optical element and CNN"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Optics and Electronic Information Technology"}}
{"question":"Please find clinical trial research papers published between 2020 and 2024 that investigate the combination therapy of an immune checkpoint inhibitor (specifically targeting PD-1 or PD-L1) with platinum-based chemotherapy as the first-line treatment for advanced non-small cell lung cancer (NSCLC) in patients who are negative for EGFR mutations and ALK rearrangements. The studies must report overall survival (OS) as a primary endpoint and include the incidence of treatment-related grade 3 or higher adverse events as a key safety outcome.","answer":["Cemiplimab plus chemotherapy versus chemotherapy alone in non-small cell lung cancer: a randomized, controlled, double-blind phase 3 trial","First-line nivolumab plus ipilimumab combined with two cycles of chemotherapy in patients with non-small-cell lung cancer (CheckMate 9LA): an international, randomised, open-label, phase 3 trial","Pemetrexed plus platinum with or without pembrolizumab in patients with previously untreated metastatic nonsquamous NSCLC: protocol-specified final analysis from KEYNOTE-189","Cemiplimab Plus Chemotherapy Versus Chemotherapy Alone in Advanced NSCLC: 2-Year Follow-Up From the Phase 3 EMPOWER-Lung 3 Part 2 Trial","Durvalumab With or Without Tremelimumab in Combination With Chemotherapy as First-Line Therapy for Metastatic Non-Small-Cell Lung Cancer: The Phase III POSEIDON Study","First-line nivolumab plus ipilimumab with two cycles of chemotherapy versus chemotherapy alone (four cycles) in advanced non-small-cell lung cancer: CheckMate 9LA 2-year update","Pembrolizumab Plus Chemotherapy in Squamous Non-Small-Cell Lung Cancer: 5-Year Update of the Phase III KEYNOTE-407 Study","Final overall survival data of sintilimab plus pemetrexed and platinum as First-Line treatment for locally advanced or metastatic nonsquamous NSCLC in the Phase 3 ORIENT-11 study","Interim survival analysis of the randomized phase III GEMSTONE-302 trial: sugemalimab or placebo plus chemotherapy as first-line treatment for metastatic NSCLC"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Please help me find recent methodological papers (reviews or comparative studies are not wanted) that propose a novel deep learning model for automated detection and classification of microcalcification clusters in full-field digital mammography (FFDM) images. The proposed model should be based on a transformer architecture (e.g., Vision Transformer or its variants) but must not be a standard convolutional neural network (CNN) like ResNet or DenseNet. The paper must include validation on at least one publicly available mammography dataset (such as CBIS-DDSM, INbreast, or OMI-DB) and report both sensitivity and specificity metrics.","answer":["Efficacy of the PD-1 inhibitor penpulimab in combination with chemotherapy for advanced lung squamous cell carcinoma: insights from a phase III multicenter study","A global phase 3 study of serplulimab plus chemotherapy as first-line treatment for advanced squamous non-small-cell lung cancer (ASTRUM-004)"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Please help me locate papers on machine learning-assisted design of gas separation polymer membranes. These papers should include permeability datasets for CO2 O2, N2 and CH4, with simulations conducted using molecular dynamics modeling. The research methodology should employ machine learning regression prediction and inverse molecular design.","answer":["Automated Artificial-intelligence Inverse Design of Polymer Membranes for CO2 Capture and Separation","Discovery of Innovative Polymers for Next-Generation Gas-Separation Membranes using Interpretable Machine Learning","Superior Polymeric Gas Separation Membrane Designed by Explainable Graph Machine Learning","Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning","Machine learning and molecular design algorithm assisted discovery of gas separation membranes exceeding the CO2/CH4 and CO2/N2 upper bounds","Machine learning enables interpretable discovery of innovative polymers for gas separation membranes","AI powered, automated discovery of polymer membranes for carbon capture","Accelerate Polymer Membrane Discovery for CO2 Separation with Graph-Based Generative Model and Molecular Dynamics Simulation","Machine learning prediction on the fractional free volume of polymer membranes","Accelerating Discovery of Polyimides with Intrinsic Microporosity for Membrane‐Based Gas Separation: Synergizing Physics‐Informed Performance Metrics and Active Learning","Creation of Polymer Datasets with Targeted Backbones for Screening of High-Performance Membranes for Gas Separation","Combining Interpretable Machine Learning and Molecular Simulation to Advance the Discovery of COF-Based Membranes for Acid Gas Separation","Machine Learning-Guided Discovery of Polymer Membranes for CO2 Separation","Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation","Can machine learning methods guide gas separation membranes fabrication?","Designing exceptional gas-separation polymer membranes using machine learning","Machine learning aided evaluation and design based on polymer membrane materials","Polymer genome–based prediction of gas permeabilities in polymers","Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders","Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"I am designing polymer membranes for carbon capture, but there is a trade-off between gas permeability and selectivity. I have tried adjusting the chemical structure of the polymer backbone, but found that increasing permeability often leads to decreased selectivity, and vice versa. The cycle of experimental synthesis and testing is lengthy, making it difficult to systematically explore the vast chemical space. I wonder if there exists a GNN model that could help me predict","answer":["Superior Polymeric Gas Separation Membrane Designed by Explainable Graph Machine Learning","Machine Learning-Guided Discovery of Polymer Membranes for CO2 Separation","Designing exceptional gas-separation polymer membranes using machine learning","Machine learning enables interpretable discovery of innovative polymers for gas separation membranes","Machine learning-guided discovery of polymer membranes for CO2 separation with genetic algorithm","Machine learning and molecular design algorithm assisted discovery of gas separation membranes exceeding the CO2/CH4 and CO2/N2 upper bounds","Imputation of missing gas permeability data for polymer membranes using machine learning","AI powered, automated discovery of polymer membranes for carbon capture","Machine learning-based discovery of molecular descriptors that control polymer gas permeation","Polymer Informatics at Scale with Multitask Graph Neural Networks","Polymer genome–based prediction of gas permeabilities in polymers","Improved artificial neural networks (ANNs) for predicting the gas separation performance of polyimides","Neural networks for the prediction of polymer permeability to gases","Graph Diffusion Transformers for Multi-Conditional Molecular Generation","POINT^2: A Polymer Informatics Training and Testing Database","Accelerating Discovery of Polyimides with Intrinsic Microporosity for Membrane‐Based Gas Separation: Synergizing Physics‐Informed Performance Metrics and Active Learning","Machine Learning‐Guided Design and Synthesis of Eco‐Friendly Poly(ethylene oxide) Membranes for High‐Efficacy CO2/N2 Separation","Transcend the boundaries: Machine learning for designing polymeric membrane materials for gas separation","Exploring SMILES and BigSMILES: Toward Efficient and Scalable Polymer Representations for Machine Learning","Polymer informatics at-scale with multitask graph neural networks","Can machine learning methods guide gas separation membranes fabrication?","Machine learning for membrane design and discovery","Recent Progress of Artificial Intelligence Application in Polymer Materials","polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics","Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation","Machine learning in gas separation membrane developing: Ready for prime time","Machine Learning in Membrane Design: From Property Prediction to AI-Guided Optimization","Polymer Informatics with Multi-Task Learning","Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Find papers published before 2025-11-01 that use NLP/LLM methods to infer comparative clinical trial outcomes from randomized controlled trial (RCT) text for an Intervention–Comparator–Outcome prompt. The paper must predict the direction of effect (significantly increased / significantly decreased / no significant difference) and optionally extract the supporting evidence sentence. It must report quantitative results on the standard Evidence Inference benchmark split (accuracy or macro-F1 for direction; and F1 if evidence extraction is evaluated), and include at least one transformer-based model (BERT/RoBERTa/Longformer/T5/instruction-tuned LLM) compared against a non-transformer baseline (e.g., logistic regression, CNN/LSTM, or rule-based).","answer":["Inferring Which Medical Treatments Work from Reports of Clinical Trials","Evidence Inference 2.0: More Data, Better Models"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Find peer-reviewed papers published before 2025-11-1 that learn an offline reinforcement-learning treatment policy for adult sepsis or septic shock in the ICU using retrospective EHR data, where the action space includes BOTH intravenous fluid resuscitation AND vasopressor dosing. The study must use MIMIC-III and/or MIMIC-IV and report an off-policy evaluation method together with an estimated mortality-related outcome compared with the observed clinician policy. Exclude papers that only do sepsis prediction/early warning, papers that optimize fluids-only or vasopressors-only, and papers that rely solely on a synthetic simulator without evaluation on real MIMIC patient trajectories.","answer":["Offline Safe Reinforcement Learning for Sepsis Treatment: Tackling Variable-Length Episodes with Sparse Rewards","Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records","The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care","Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning","A value-based deep reinforcement learning model with human expertise in optimal treatment of sepsis","Optimizing sepsis treatment strategies via a reinforcement learning model","Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning","The treatment of sepsis: an episodic memory-assisted deep reinforcement learning approach","Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis","Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"I am designing a clinical study and want to use large language models (LLMs) to reduce the cost and time of clinical trial recruitment. Please find papers published on or before 2025-10-31 that use an LLM to pre-screen patients for clinical trial eligibility (patient-to-trial matching or criterion-level eligibility classification) using real EHR patient data AND trial text. The study must validate the AI output against a gold standard (manual chart review or clinician screening decisions), report quantitative performance metrics AND at least one workflow metric (e.g., screening time saved, screening yield, or cost). Exclude papers that only extract/normalize eligibility criteria without using any patient data.","answer":["Manual vs AI-Assisted Prescreening for Trial Eligibility Using Large Language Models—A Randomized Clinical Trial","Retrieval Augmented Generation Enabled Generative Pre-Trained Transformer 4 (GPT-4) Performance for Clinical Trial Screening","A Proof-of-Concept Large Language Model Application to Support Clinical Trial Screening in Surgical Oncology","Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline","Distilling Large Language Models for Matching Patients to Clinical Trials","Learning to match patients to clinical trials using large language models"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Find papers published in either (1) the Journal of the American Medical Informatics Association (JAMIA) or (2) the Journal of Biomedical Informatics (JBI), published on or before 2025-10-31, that use transformer-based NLP or large language models to  structure/normalize clinical trial eligibility criteria and/or match patients or EHR cohorts to clinical trials (trial retrieval / patient-trial matching). The paper must use trial text from ClinicalTrials.gov or real trial protocols and include a quantitative evaluation. Exclude editorials, perspectives, or reviews without an evaluated model.","answer":["Learning to match patients to clinical trials using large language models","Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation","Distilling large language models for matching patients to clinical trials","AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models","Effective matching of patients to clinical trials using entity extraction and neural re-ranking","Combining human and machine intelligence for clinical trial eligibility querying","Structural analysis and intelligent classification of clinical trial eligibility criteria based on deep learning and medical text mining"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Find papers published on or before 2025-10-31 that generate privacy-preserving synthetic EHR time series using deep generative models such as diffusion models or GANs, evaluated on public ICU datasets. The paper must validate the synthetic data with  at least one downstream clinical prediction task, at least one privacy-risk assessment, and at least one fidelity metric that reflects temporal/joint structure (not only marginal distributions). Prefer studies that release code or provide enough implementation details to reproduce.","answer":["Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models","EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records","Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications","Enabling Granular Subgroup Level Model Evaluations by Generating Synthetic Medical Time Series","TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Find peer-reviewed papers published on or before 2025-10-31 that train DIFFERENTIALLY PRIVATE generative models to generate synthetic structured health records (EHR/claims/registries). The paper must quantify the privacy–utility trade-off: it should report a formal DP budget (epsilon, delta) and evaluate both privacy risk (e.g., membership inference / attribute inference / disclosure risk) AND downstream utility (e.g., classification/regression performance, TSTR) on healthcare data. Exclude papers that rely only on k-anonymity/de-identification without a DP-trained generative model, and exclude papers that evaluate only statistical similarity without any downstream task utility.","answer":["Synthetic data for privacy-preserving clinical risk prediction","Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy","Privacy-Preserving Data Synthesis via Differentially Private Normalizing Flows with Application to Electronic Health Records Data","Effective and Privacy preserving Tabular Data Synthesizing","Differentially Private Generative Adversarial Network","DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Please help me find papers on AI-assisted academic writing outcomes in graduate education that include quantitative empirical studies  focus on research writing quality, productivity, or learning outcomes. The studies should involve generative artificial intelligence or large language models applied to graduate or doctoral student writing tasks. The time range should be published before November 1, 2025.","answer":["Generative AI's Impact on Graduate Student Writing Productivity and Quality","GenAI as scholarly ally: patterns, pedagogy, and policies in graduate writing research","Graduate Students' ChatGPT Experience and Perspectives during Thesis Writing","ChatGPT-3.5 as writing assistance in students’ essays","Exploring ChatGPT-4 as an Academic Assistant in Thesis Development: A Case Study on Postgraduate Higher Education","The use  of  ChatGPT  to  improve  scientific  article  productivity  of postgraduate students "],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Education"}}
{"question":"I’m researching graduate academic writing and trying to evaluate whether generative AI tools genuinely improve writing quality and research productivity, but I’m struggling to design studies with clear baselines and credible outcome measures. Recommend empirical papers that propose rigorous evaluation frameworks or study designs for assessing AI-assisted writing in graduate education, while avoiding purely perception-based or self-reported outcomes.The time range should be published before November 1, 2025.","answer":["Dimensions of Generative AI Evaluation Design","ChatGPT as an automated writing evaluation tool: how students perceive it and how it affects their writing","When ChatGPT Writes Your Research Proposal: Scientific Creativity in the Age of Generative AI","Graduate students’ use of ChatGPT for academic text revision: Behavioral, cognitive, and affective engagement","Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models","ChatGPT as Linguistic Equalizer? Quantifying LLM-Driven Lexical Shifts in Academic Writing","Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","Human-AI collaboration patterns in AI-assisted academic writing","Integrating AI and Human Feedback to Optimize Interdisciplinary Proposal Writing in Science Graduate Students","Application of Artificial Intelligence powered digital writing assistant in higher education: randomized controlled trial"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Education"}}
{"question":"Could you help me find papers on PFKFB3 in breast cancer and PFKFB3 as a target that were published in the last 5 years?","answer":["Hyperglycemia induces PFKFB3 overexpression and promotes malignant phenotype of breast cancer through RAS/MAPK activation","Positive regulation of PFKFB3 by PIM2 promotes glycolysis and paclitaxel resistance in breast cancer","PELP1/SRC-3-dependent regulation of metabolic PFKFB kinases drives therapy resistant ER+ breast cancer","The Role of PFKFB3 In the Tumor Microenvironment and Its Therapeutic Potential","Role of PFKFB3 and PFKFB4 in Cancer: Genetic Basis, Impact on Disease Development/Progression, and Potential as Therapeutic Targets","PFKFB3 regulates breast cancer tumorigenesis and Fulvestrant sensitivity by affecting ERα stability","Combination of 3PO analog PFK15 and siPFKL efficiently suppresses the migration, colony formation ability, and PFK-1 activity of triple-negative breast cancers by reducing the glycolysis","The potential radiosensitization target PFKFB3 is related to response to radiotherapy in SweBCG91RT: a randomized clinical trial with long-term follow-up","A miR-34a-guided, tRNAiMet-derived, piR_019752-like fragment (tRiMetF31) suppresses migration and angiogenesis of breast cancer cells via targeting PFKFB3","Nuances of PFKFB3 Signaling in Breast Cancer","Treatment against glucose-dependent cancers through metabolic PFKFB3 targeting of glycolytic flux","GATA3/MiR-199a-3p Suppresses Glycometabolism in Breast Cancer by Inhibiting PFKFB3 Expression","Genomic Deletion of PFKFB3 Decreases In Vivo Tumorigenesis","Ginsenoside Rg3 overcomes tamoxifen resistance through inhibiting glycolysis in breast cancer cells","PKM2 dictates the poised chromatin state of PFKFB3 promoter to enhance breast cancer progression","Knockdown of circ_0102273 inhibits the proliferation, metastasis and glycolysis of breast cancer through miR-1236-3p/PFKFB3 axis"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Molecular Biology and Genetics"}}
{"question":"Could you help check whether there are any papers that use PFK15 for cancer treatment but not for other diseases?","answer":["Targeting 6-phosphofructo-2-kinase (PFKFB3) as a therapeutic strategy against cancer","PFK15, a small molecule inhibitor of PFKFB3, induces cell cycle arrest, apoptosis and inhibits invasion in gastric cancer","PFK15, a PFKFB3 antagonist, inhibits autophagy and proliferation in rhabdomyosarcoma cells","Combination of 3PO analog PFK15 and siPFKL efficiently suppresses the migration, colony formation ability, and PFK-1 activity of triple-negative breast cancers by reducing the glycolysis","Role of PFKFB3 and PFKFB4 in cancer: genetic basis, impact on disease development/progression, and potential as therapeutic targets","The potential utility of PFKFB3 as a therapeutic target","Treatment against glucose-dependent cancers through metabolic PFKFB3 targeting of glycolytic flux","The molecular basis of targeting PFKFB3 as a therapeutic strategy against cancer","Inhibition of glycolytic activator PFKFB3 suppresses tumor growth and induces tumor vessel normalization in hepatocellular carcinoma","The synergistic effect of PFK15 with metformin exerts anti-myeloma activity via PFKFB3","Metabolic reprogramming by dual-targeting biomimetic nanoparticles for enhanced tumor chemo-immunotherapy","Blockage of glycolysis by targeting PFKFB3 suppresses tumor growth and metastasis in head and neck squamous cell carcinoma","PFKFB3 blockade inhibits hepatocellular carcinoma growth by impairing DNA repair through AKT","Inhibition of Glycolysis Suppresses Cell Proliferation and Tumor Progression In Vivo: Perspectives for Chronotherapy","Acetylation accumulates PFKFB3 in cytoplasm to promote glycolysis and protects cells from cisplatin-induced apoptosis","Metabolic regulation of calcium pumps in pancreatic cancer: role of phosphofructokinase-fructose-bisphosphatase-3 (PFKFB3)","PFKFB3 Inhibition Attenuates Oxaliplatin-Induced Autophagy and Enhances Its Cytotoxicity in Colon Cancer Cells","AICAR enhances the cytotoxicity of PFKFB3 inhibitor in an AMPK signaling-independent manner in colorectal cancer cells","Inhibition of Growth by Combined Treatment with Inhibitors of Lactate Dehydrogenase and either Phenformin or Inhibitors of 6-Phosphofructo-2-kinase/Fructose-2, 6-bisphosphatase 3","Expression of PFKFB3 and Ki67 in lung adenocarcinomas and targeting PFKFB3 as a therapeutic strategy","Targeting the reprogrammed metabolism in H3.3K27M pediatric high-grade gliomas","Targeting MCT1 and PFKFB3 provokes synthetic lethality in small cell lung cancer","PFKFB3-Mediated Pro-Glycolytic Shift in Hepatocellular Carcinoma Proliferation","Rescue of dendritic cells from glycolysis inhibition improves cancer immunotherapy in mice","ALK fusion promotes metabolic reprogramming of cancer cells by transcriptionally upregulating PFKFB3","Metabolic Reprogramming of Cancer Cells and Therapeutics Targeting Cancer Metabolism","IL-37 inhibits glycolysis of lung adenocarcinoma by inhibiting the expression of PFKFB3","Yiqi Yangjing recipe stimulates apoptosis while suppressing the energy metabolism via under-expression of PFKFB3 in A549 cells","Blockage of glycolysis by targeting PFKFB3 suppresses the development of infantile hemangioma","A Potential Oncogenic Role for PFKFB3 Overexpression in Gastric Cancer Progression","Necroptosis pathway blockage attenuates PFKFB3 inhibitor-induced cell viability loss and genome instability in colorectal cancer cells","Smart Biomimetic Nanocomposites Mediate Mitochondrial Outcome through Aerobic Glycolysis Reprogramming: A Promising Treatment for Lymphoma","mTOR up-regulation of PFKFB3 is essential for acute myeloid leukemia cell survival"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Molecular Biology and Genetics"}}
{"question":"Please provide papers published by Airbus or Boeing that global methods and technologies for aircraft test flight safety risk assessment. The papers should be released before the end of 2025.","answer":["“达尔文”项目成功开展飞行试验","基于BP神经网络的试飞训练安全性量化模型","基于FMEA分析的试飞安全管理模式的构建与探索"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Aerospace Engineering"}}
{"question":"I am building a vertical-domain maintenance model multi-agent system covering OEM R&D, design, test flight, and customer airline operation data, but data governance and data sharing issues are causing inefficiencies in cross-task coordination and collaboration among agents. Can you recommend methods and technologies used by advanced OEMs like Boeing and Airbus?","answer":["Novel roll effector based on zero-mass-flux dual synthetic jets and its flight test","Virtual flight test techniques to predict a blendedwing-body aircraft in-flight departure characteristics"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Aerospace Engineering"}}
{"question":"I want to build a model to evaluate the process quality of a power battery development project. Can you recommend papers regarding development project quality evaluation and quality promotion, it must be related to research and development instead of manufacturing. The papers should be released not earlier than year 2022.","answer":["UNDERSTANDING QUALITY FACTORS IN R&D ACTIVITIES: A NEW MODEL FOR QUALITY MANAGEMENT","Quality management practices to direct and control the accomplishment of project objectives in R&D units","Prioritization of R&D Project Evaluation Criteria Using Pythagorean Fuzzy AHP Method","Performance Measurement in R&D Projects: Relevance of Indicators Based on US and German Experts","Design for Six Sigma in the Product Development Process Under a Sustainability Point of View: A Real-Life Case Study","Management of R&D projects in the early phases of the project life cycle – empirical research","Knowledge production and commercialization from R&D: the pharmaceutical sector","Challenges and Potentials in Evaluating Early-Stage Deep Technology"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Management"}}
{"question":"could you find papers which focuses on quality management not for production, but rather for power battery R&D projects, specifically seeking studies that establish targeted assessment models whose core frameworks are applicable and transferable to similar R&D contexts and are intrinsically linked to R&D verification, and does not rely on concepts, data, or methodologies from production or manufacturing quality management.","answer":["Product-requirement-model to approach the identification of uncertainties in battery systems development","Handling Complexity in Virtual Battery Development with a Simplified Systems Modeling Approach","Validation and verification of a hybrid method for remaining useful life prediction of lithium-ion batteries","A framework for Li-ion battery prognosis based on hybrid Bayesian physics-informed neural networks","The Battery Component Readiness Level (BC-RL) framework: A technology-specific development framework","Designing physical systems through a model-based synthesis approach. Example of a Li-ion battery for electrical vehicles","Development of a virtual quality gate concept based on high-potential tests for lithium-ion battery cell manufacturing (manufacturing QC focus; excluded from core results)","A Review of the Research on the Quality Evaluation Method for the Entire Process of Equipment Development Projects","Modified Stage-Gate Regimes in New Product Development","Development of an R&D process model for enhancing the quality of R&D: comparison with CMMI, ISO and EIRMA","Development of a Quality Assurance Framework for Research and Development","Assessment of quality and maturity level of R&D"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Management"}}
{"question":"Please provide papers published by the affiliated hospital of Qingdao University that about ENO1 or alpha enolase？The papers should be released before the end of 2025.","answer":["Tumor-intrinsic ENO1 inhibition promotes antitumor immune response and facilitates the efficacy of anti-PD-L1 immunotherapy in bladder cancer","N6-Methyladenosine enhances the translation of ENO1 to promote the progression of bladder cancer by inhibiting PCNA ubiquitination","基于系统药理学和分子对接探讨浙贝母-瓜蒌配伍调控慢性阻塞性肺病并发心脏衰竭的作用机制 (The mechanism of Fritillariae Thunbergii Bulbus–Trichosanthis Fructu pairing in regulating heart failure complicated by chronic obstructive pulmonary disease based on systems pharmacology and molecular docking)","Ag85B-ENO146-82 therapeutic vaccines enhance anti-tumor immunity by inducing CD8+ T cells and remodeling tumor microenvironment"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Basic Medicine"}}
{"question":"Please provide papers that about the function of ENO1 in promoting antitumor immunity, rather than inhibiting antitumor immunity. The papers should be released before the end of 2025.","answer":["ENO1 promotes antitumor immunity by destabilizing PD-L1 in NSCLC","O-GlcNAcylation of enolase 1 serves as a dual regulator of aerobic glycolysis and immune evasion in colorectal cancer","Phosphorylated alpha-enolase induces autoantibodies in HLA-DR8 pancreatic cancer patients and triggers HLA-DR8 restricted T-cell activation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Basic Medicine"}}
{"question":"Please find papers published before 2025-11-01 in top-tier peer-reviewed venues that mitigate spurious correlations (e.g., language priors / annotation artifacts / shortcut cues) in Visual Question Answering (VQA). The paper must propose an explicit debiasing/causal/counterfactual/invariant-learning mitigation method (not scaling-only or prompt-only), evaluate on at least ONE bias-sensitive or prior-breaking VQA benchmark/split (e.g., VQA-CP, GQA-OOD, or any explicitly bias-controlled VQA split) and also report results on at least ONE standard in-distribution VQA benchmark, and include a clearly defined OOD/generalization or group-robust evaluation; exclude survey-only papers, unimodal-only papers, and analysis-only work without a mitigation algorithm.","answer":["Counterfactual VQA: A Cause-Effect Look at Language Bias","RUBi: Reducing Unimodal Biases in Visual Question Answering","Overcoming Language Priors in Visual Question Answering with Adversarial Regularization","Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases","Counterfactual Samples Synthesizing for Robust Visual Question Answering","Greedy Gradient Ensemble for Robust Visual Question Answering","MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering","Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering","Unshuffling Data for Improved Generalization in Visual Question Answering","Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies","Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering","Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded","Learning what makes a difference from counterfactual examples and gradient supervision","Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder","Overcoming language priors in vqa via decomposed linguistic representations","Self-Critical Reasoning for Robust Visual Question Answering","Generative Bias for Robust Visual Question Answering","Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning","A Multi-modal Debiasing Model with Dynamical Constraint for Robust Visual Question Answering","A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect","Enhancing robust VQA via contrastive and self-supervised learning","Simple contrastive learning in a self-supervised manner for robust visual question answering","A Negative Case Analysis of Visual Grounding Methods for VQA","SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering","Towards Deconfounded Visual Question Answering via Dual-causal Intervention","Efficient Counterfactual Debiasing for Visual Question Answering","Debiasing Multimodal Models via Causal Information Minimization","Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering","GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering","Contrastive Visual-Question-Caption Counterfactuals on Biased Samples for Visual Question Answering","Reducing Vision-Answer Biases for Multiple-Choice VQA","Combating Visual Question Answering Hallucinations Via Robust Multi-Space Co-Debias Learning","Debiasing Medical Visual Question Answering via Counterfactual Training","Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering","Transformer-Empowered Invariant Grounding for Video Question Answering","Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning","LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering","Bias Mitigation Label and Aware Context for Debiased Visual Question Answering","Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering","Knowledge Proxy Intervention for Deconfounded Video Question Answering","Test-Time Model Adaptation for Visual Question Answering with Debiased Self-Supervisions","Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases","Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing","Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision","NExT-OOD: Overcoming Dual Multiple-choice VQA Biases","Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please find papers published before 2025-11-01 in top-tier peer-reviewed venues that leverage the integration of game theory and intelligent agents to address multimodal alignment problems (e.g., vision-language alignment, cross-modal semantic consistency, multi-modality representation matching). The papers must propose an explicit game-theoretic agent-based algorithmic framework (not scaling-only or prompt-only strategies) to optimize multimodal alignment performance. They should evaluate on at least one multimodal alignment-specific benchmark (e.g., MS-COCO Captioning, Flickr30k Entailment, ALIGN Benchmark) and also report results on at least one general multimodal understanding benchmark (e.g., VQA v2, GLUE-V, NLVR2). Additionally, the papers must include a clearly defined evaluation of cross-domain generalization or alignment robustness across diverse multimodal scenarios. Exclude survey-only papers, unimodal-only studies, and analysis-only work without a concrete mitigation/optimization algorithm.","answer":["Large-Scale Adversarial Training for Vision-and-Language Representation Learning","GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning","Balancing Multimodal Training Through Game-Theoretic Regularization"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Could you help me find academic papers that use explainable machine learning methods with satellite remote sensing images as the data source?","answer":["Post-Fire Burned Area Detection Using Machine Learning and Burn Severity Classification with Spectral Indices in İzmir: A SHAP-Driven XAI Approach","SHAP-Based Interpretable Object Detection Method for Satellite Imagery","Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery","Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP","Integration of LIME with segmentation techniques for SVM classification in Sentinel-2 imagery","Urban land use and land cover classification with interpretable machine learning – A case study using Sentinel-2 and auxiliary data","Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI","Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing","On the Effectiveness of Methods and Metrics for Explainable AI in Remote Sensing Image Scene Classification","Example-based explainable AI and its application for remote sensing image classification","Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine Learning Approach Using Google Earth Engine","Global-scale explainable AI assessment for OBIA-based classification using Deep Learning and Machine Learning methods","Feature Attributation Methods for Multivariate Time-Series Explainability in Remote Sensing","Application of Remote Sensing and Explainable Artificial Intelligence (XAI) for Wildfire Occurrence Mapping in the Mountainous Region of Southwest China","Time-Series MODIS-Based Remote Sensing and Explainable Machine Learning for Assessing Grassland Resilience in Arid Regions","Interpretable Machine Learning and Remote Sensing Data Reveal Soil Biogeochemistry Patterns in Agricultural Systems","Transformer-based land use and land cover classification with explainability using satellite imagery","Interpretable Deep Learning Framework for Land Use & Land Cover Classification in Remote Sensing using SHAP"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Earth Sciences"}}
{"question":"Could you help me find academic papers presenting global datasets with a complete data repository that can be used as data sources for carbon sink research?","answer":["Global carbon flux dataset generated by fusing remote sensing and multiple flux networks observation","A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system","Global terrestrial carbon fluxes of 1999–2019 estimated by upscaling eddy covariance data with a random forest","Revised and updated geospatial monitoring of 21st century forest carbon fluxes","A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT)","An update to the Surface Ocean CO2 Atlas (SOCAT version 2)","A uniform, quality controlled Surface Ocean CO2 Atlas (SOCAT)","Surface Ocean CO2 Atlas (SOCAT) gridded data products","A full-coverage satellite-based global atmospheric CO2 dataset at 0.05° resolution from 2015 to 2021 for exploring global carbon dynamics","VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing","Updated climatological mean ΔfCO2 and net sea–air CO2 flux over the global open ocean regions","The annual update GLODAPv2.2023: the global interior ocean biogeochemical data product","GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product","An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2021"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Earth Sciences"}}
{"question":"I'm trying to develop a point-of-care biosensor for detecting viral RNA in resource-limited settings, but conventional CRISPR-based methods require complex temperature control and have limited multiplexing capability. Are there papers that use Argonaute (Ago) proteins for biosensing that offer room-temperature operation and the ability to detect multiple targets simultaneously?","answer":["Multiplexed food-borne pathogen detection using an argonaute-mediated digital sensor based on a magnetic-bead-assisted imaging transcoding system","Argonaute-integrated isothermal amplification for rapid, portable, multiplex detection of SARS-CoV-2 and influenza viruses","RT-RPA-PfAgo System: A Rapid, Sensitive, and Specific Multiplex Detection Method for Rice-Infecting Viruses","ANCA: artificial nucleic acid circuit with argonaute protein for one-step isothermal detection of antibiotic-resistant bacteria","One-pot virus detection based on isothermal amplification coupled with temperature-activated argonaute","Multiplex Digital Nucleic Acid Analysis by a LAMP–Argonaute Coupling Assay via a Parallel Droplet Fusion SlipChip","MIRA /Pf Ago-Mediated Biosensor for Multiplex Human Enteroviruses Virus Typing Detection on HFMD","Portable, single nucleotide polymorphism-specific duplex assay for virus surveillance in wastewater","Programmable mesophilic argonaute-triggered SERS biosensor promotes amplification-free and multiplexed nucleic acid detection","Programmable Clostridium perfringens Argonaute-Based, One-Pot Assay for the Multiplex Detection of miRNAs","Multiplexed Pathogenic Bacteria Detection via a Two-Dimensional Encoded Fluorescent Microsphere System","Mesophilic Argonaute-Mediated Polydisperse Droplet Biosensor for Amplification-Free, One-Pot, and Multiplexed Nucleic Acid Detection Using Deep Learning","A digital platform for One-Pot signal enhanced foodborne pathogen detection based on mesophilic argonaute-driven polydisperse microdroplet reactors and machine learning","Ultra‐Fast Single‐Nucleotide‐Variation Detection Enabled by Argonaute‐Mediated Transistor Platform","A handheld isothermal fluorescence detector for duplex visualization of aquatic pathogens via enhanced one-pot LAMP-PfAgo assay","Argonaute-based dual lateral flow test for SARS-CoV-2 and influenza a virus","Pyrococcus furiosus Argonaute coupled with modified ligase chain reaction for detection of SARS-CoV-2 and HPV","Pyrococcus furiosus Argonaute-mediated nucleic acid detection","A rapid, accurate, scalable, and portable testing system for COVID-19 diagnosis","Prokaryotic Argonaute-based multiplexed detection assays for food safety: Recent advances and perspectives","Advancements in Pathogen Detection: Argonaute-Based Nucleic Acid Detection Technology","Temperature-Modulation Categorization of Argonaute-Based Bioreactions Coupled with Amplification Methods for Nucleic Acid Detection","Prokaryotic Argonautes for in vivo biotechnology and molecular diagnostics","CADLAB: A Contamination-Free, Argonaute-Enhanced, Dual Detection of Plant Viruses via Lateral Flow Assay Biosensors system","PfAgo-Based Zika Virus Detection","Argonaute-Coupled Rolling Circle Amplification Enables the Rapid and Sensitive Detection of 8-Oxoguanine-Modified miRNA","Argonaute-Based Nucleic Acid Detection Technology: Advantages, Current Status, Challenges, and Perspectives","CRISPR/Cas and Argonaute-Based Biosensors for Pathogen Detection","Pyrococcus furiosus Argonaute with isothermal amplification for fast and ultra-sensitive diagnosis of acute hepatopancreatic necrosis disease in shrimp","Clostridium butyricum Argonaute-powered programmable platform using a magnetic nanoparticle tetrahedral DNA encoding system for the ultrasensitive and multiplexed detection of non-nucleic acid targets","CRISPR/Cas and Argonaute-powered lateral flow assay for pathogens detection","A New Frontier in Point-of-Care Viral Diagnostics","Enzyme-Assisted Endogenous Guide DNA Generation-Mediated Pyrococcus furiosus Argonaute for Alicyclobacillus acidoterrestris Detection","Argonaute-DNAzyme tandem biosensing for highly sensitive and simultaneous dual-gene detection of methicillin-resistant Staphylococcus aureus","Comparison of CRISPR/Cas and Argonaute for nucleic acid tests","Combination of ultrashort PCR and Pyrococcus furiosus Argonaute for DNA detection"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Molecular Biology and Genetics"}}
{"question":"Could you help me find research papers on Argonaute-based fluorecence biosensors that were published in the journal Analytical Chemistry (ACS Publications) between 2022 and November 2025?","answer":["Label-Free Fluorescence Biosensor Constructed Based on Pyrococcus furiosus Argonaute System and Programmable DNAzyme for Sensitive Detection of Foodborne Pathogen","Real-Time Fluorescence Aptasensor Based on Programmable Switch-Coupled Exponential Amplification Transduction for Ultrasensitive and Specific Vibrio parahemolyticus Determination","Mesophilic Argonaute-Mediated Polydisperse Droplet Biosensor for Amplification-Free, One-Pot, and Multiplexed Nucleic Acid Detection Using Deep Learning","Deep Learning-Assisted Fluorescence Single-Particle Detection of Fumonisin B1 Powered by Entropy-Driven Catalysis and Argonaute","Multiplex Digital Nucleic Acid Analysis by a LAMP–Argonaute Coupling Assay via a Parallel Droplet Fusion SlipChip","Rapid and Sensitive Genotyping of SARS-CoV-2 Key Mutation L452R with an RPA-PfAgo Method","Programmable Analysis of MicroRNAs by Thermus thermophilus Argonaute-Assisted Exponential Isothermal Amplification for Multiplex Detection (TEAM)","Programmable Clostridium perfringens Argonaute-Based, One-Pot Assay for the Multiplex Detection of miRNAs","Binding Activity of Prokaryotic Argonaute for Background-Suppressed Exponential Isothermal Amplification","Thermus thermophilus Argonaute-Based Isothermal Amplification Assay for Ultrasensitive and Specific RNA Detection","Synchronous Dual-Cycle Amplification System Based on Programmable Ago-DNA Polymerase for Detecting Tumor-Related MicroRNAs","Pyrococcus furiosus Argonaute-Based Fluorometric Biosensor for One-Tube Detection of Cancer-Associated Single Nucleotide Polymorphisms in MicroRNAs"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Molecular Biology and Genetics"}}
{"question":"Find clinical studies investigating non-standard or salvage chemotherapy regimens (such as taxanes, irinotecan, VAC, or immunotherapy) specifically for Large Cell Neuroendocrine Carcinoma (LCNEC) of the uterine cervix. Please strictly exclude the following: Papers focusing solely on the efficacy of standard first-line Platinum/Etoposide (EP) combinations. General reviews that do not report specific patient outcomes (survival or response rates). Studies on Small Cell Carcinoma (SCCC) that do not analyze LCNEC separately. The goal is to identify treatment options for refractory or recurrent cases.","answer":["Paclitaxel and carboplatin for large cell neuroendocrine carcinoma of the uterine cervix","Association of nivolumab and niraparib in the management of neuroendocrine cancer of the cervix","Neuroendocrine Carcinoma of Uterine Cervix: Stereotactic Radiotherapy for Brain Metastasis and Stereotactic Body Radiotherapy for Renal and Pancreatic Metastases","Ipilimumab and nivolumab for recurrent neuroendocrine cervical carcinoma"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Conduct a literature review on the recent contributions of Professor Ng Lai Guan (affiliated with Singapore Immunology Network or Shanghai Immune Therapy Institute) to the field of single-cell immunology. Please retrieve a list of his key research papers published specifically between 2022 and 2024.","answer":["Deterministic reprogramming of neutrophils within tumors","Timing and location dictate monocyte fate and their transition to tumor-associated macrophages","Cellular and transcriptional dynamics of human neutrophils at steady state and upon stress","Cebp1 and Cebpβ transcriptional axis controls eosinophilopoiesis in zebrafish","Differential contributions of fetal mononuclear phagocytes to Zika virus neuroinvasion versus neuroprotection during congenital infection","Dendritic cell type 3 arises from Ly6C+ monocyte-dendritic cell progenitors","iPS-cell-derived microglia promote brain organoid maturation via cholesterol transfer","Behavioural immune landscapes of inflammation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Could you help me find research papers (not review articles) on strigolactones (SLs) regulating plant salt tolerance, specifically those conducting experiments with the synthetic analog GR24?","answer":["Positive regulatory role of strigolactone in plant responses to drought and salt stress","Synthetic strigolactone (rac-GR24) alleviates the photosynthetic inhibition and oxidative damage in alfalfa (Medicago sativa L.) under salt stress","Strigolactone-Mediated Mitigation of Negative Effects of Salinity Stress in Solanum lycopersicum through Reducing the Oxidative Damage","Strigolactone-mediated amelioration of salinity stress in bread wheat: Insights from phytochemical and ion channels related genes expression analyses","Strigolactone Alleviates the Adverse Effects of Salt Stress on Seed Germination in Cucumber by Enhancing Antioxidant Capacity","Effects of strigolactone on photosynthetic and physiological characteristics in salt-stressed rice seedlings","Strigolactones Improve Plant Growth, Photosynthesis, and Alleviate Oxidative Stress under Salinity in Rapeseed (Brassica napus L.) by Regulating Gene Expression","Role of abscisic acid in strigolactone-induced salt stress tolerance in arbuscular mycorrhizal Sesbania cannabina seedlings","GR24-mediated enhancement of salt tolerance and roles of H2O2 and Ca2+ in regulating this enhancement in cucumber","Ameliorative effects of SL on tolerance to salt stress on pepper (Capsicum annuum L.) plants","Physiological and transcriptome characterization provides new insights into mitigation of NaCl stress by strigolactone GR24 in Lycium ruthenicum Murr","Strigolactone Alleviates NaCl Stress by Regulating Antioxidant Capacity and Hormone Levels in Rice (Oryza sativa L.) Seedlings","Regulation of Exogenous Strigolactone on Storage Substance Metabolism and Endogenous Hormone Levels in the Early Germination Stage of Rice Seeds Under Salt Stress","Exogenous strigolactones enhance salinity tolerance in cotton (Gossypium hirsutum L.) seedlings","Resilient mechanism of strigolactone (GR24) in regulating morphological and biochemical status of maize under salt stress","Strigolactone-Mediated Trehalose Enhances Salt Resistance in Tomato Seedlings","Strigolactone (GR24) Application Positively Regulates Photosynthetic Attributes, Stress-Related Metabolites and Antioxidant Enzymatic Activities of Ornamental Sunflower (Helianthus annuus cv. Vincent’s Choice) under Salinity Stress","Influence of strigolactone (GR24) as a seed treatment on growth, gas exchange and chlorophyll fluorescence of wheat under saline conditions","Sowing Methods and Strigolactones Alleviate Damage to the Photosynthetic System of Rice Seedlings Under Salt Stress by Enhancing Antioxidant Capacity","The Coupling Effects of PGPR Inoculation and Foliar Spraying of Strigolactone in Mitigating the Negative Effect of Salt Stress in Wheat Plants: Insights from Phytochemical, Growth, and Yield Attributes","Strigolactones are involved in hydrogen sulfide-enhanced salt tolerance in tomato seedlings","Modulations Induced by Seed Priming of Strigolactone (GR24) in Morpho-Physiological and Biochemical Attributes of Ajwain (Trachyspermum ammi L.) Under Salt Stress"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Plant Stress Physiology and Molecular Biology"}}
{"question":"I am currently writing a review on the mechanisms by which strigolactones (SLs) regulate plant salt tolerance. However, I have not found relevant papers focusing on the physiological mechanisms underlying SL-mediated salt tolerance. Could you recommend some papers that illustrate how SLs regulate the physiological mechanisms of plant salt tolerance?","answer":["Positive regulatory role of strigolactone in plant responses to drought and salt stress","The role of strigolactone in alleviating salinity stress in chili pepper","Strigolactone-mediated amelioration of salinity stress in bread wheat: Insights from phytochemical and ion channels related genes expression analyses","Strigolactone-Mediated Mitigation of Negative Effects of Salinity Stress in Solanum lycopersicum through Reducing the Oxidative Damage","Strigolactone Alleviates the Adverse Effects of Salt Stress on Seed Germination in Cucumber by Enhancing Antioxidant Capacity","Strigolactone could enhances gas-exchange through augmented antioxidant defense system in Salvia nemorosa L. plants subjected to saline conditions stress","Strigolactones Improve Plant Growth, Photosynthesis, and Alleviate Oxidative Stress under Salinity in Rapeseed (Brassica napus L.) by Regulating Gene Expression","Exogenous strigolactones alleviate the photosynthetic inhibition and oxidative damage of cucumber seedlings under salt stress","Strigolactones enhance physiological and biochemical responses to salinity stress in tomato","Strigolactone is involved in nitric oxide-enhanced the salt resistance in tomato seedlings","Effects of strigolactone on photosynthetic and physiological characteristics in salt-stressed rice seedlings","Enhancing salinity tolerance in wheat: the role of synthetic Strigolactone (GR24) in modulating antioxidant enzyme activities, ion channels, and related gene expression in stress responses","Strigolactone Alleviates NaCl Stress by Regulating Antioxidant Capacity and Hormone Levels in Rice (Oryza sativa L.) Seedlings","Regulation of Exogenous Strigolactone on Storage Substance Metabolism and Endogenous Hormone Levels in the Early Germination Stage of Rice Seeds Under Salt Stress","Strigolactone alleviates the salinity-alkalinity stress of Malus hupehensis seedlings","Strigolactone-Mediated Trehalose Enhances Salt Resistance in Tomato Seedlings","Strigolactones, ROS and ABA Regulate Systemic Salt-Tolerance Priming Signals Between Dodder-Connected Tobacco Plants","Arbuscular mycorrhizal symbiosis influences strigolactone production under salinity and alleviates salt stress in lettuce plants","SLs signal transduction gene CsMAX2 of cucumber positively regulated to salt, drought and ABA stress in Arabidopsis thaliana L.","Strigolactone (GR24) Application Positively Regulates Photosynthetic Attributes, Stress-Related Metabolites and Antioxidant Enzymatic Activities of Ornamental Sunflower (Helianthus annuus cv. Vincent’s Choice) under Salinity Stress","Strigolactone (GR24) Induced Salinity Tolerance in Sunflower (Helianthus annuus L.) by Ameliorating Morpho-Physiological and Biochemical Attributes Under In Vitro Conditions","Interactions between Brassinosteroids and Strigolactones in Alleviating Salt Stress in Maize","The Coupling Effects of PGPR Inoculation and Foliar Spraying of Strigolactone in Mitigating the Negative Effect of Salt Stress in Wheat Plants: Insights from Phytochemical, Growth, and Yield Attributes","Mechanisms of Strigolactone-Regulated Abiotic Stress Responses in Plants","Osmotic stress represses strigolactone biosynthesis in Lotus japonicus roots: exploring the interaction between strigolactones and ABA under abiotic stress","Physiological and transcriptome characterization provides new insights into mitigation of NaCl stress by strigolactone GR24 in Lycium ruthenicum Murr.","Sowing Methods and Strigolactones Alleviate Damage to the Photosynthetic System of Rice Seedlings Under Salt Stress by Enhancing Antioxidant Capacity","Resilient mechanism of strigolactone (GR24) in regulating morphological and biochemical status of maize under salt stress","Effects of GR24 and 24-eBL on the growth of wheat ( Triticum aestivum L.) seedlings grown under salt stress","Strigolactones, ROS and ABA Regulate Systemic Salt‐Tolerance Priming Signals Between Dodder‐Connected Tobacco Plants","Phytohormone Strigolactone: Involvement in Guard Cell Signaling and Abiotic Stress Tolerance in Plants","Strigolactones in Plants: From Development to Abiotic Stress Management","Contribution of strigolactone in plant physiology, hormonal interaction and abiotic stresses","Strigolactone as a potential target for improving abiotic stress tolerance in horticultural crops","Strigolactones as promising biomolecule for oxidative stress management: A comprehensive review","Crucial roles of trehalose and 5-azacytidine in alleviating salt stress in tomato: Both synergistically and independently","Deciphering the Role of Phytohormones and Osmolytes in Plant Tolerance Against Salt Stress: Implications, Possible Cross-Talk, and Prospects","Understanding the potential of root microbiome influencing salt‐tolerance in plants and mechanisms involved at the transcriptional and translational level","The strigolactone pathway plays a crucial role in integrating metabolic and nutritional signals in plants","Interpreting the Genetic Symphony: Strigolactones and Their Regulatory Effect on Plant Growth and Development","Trehalose alleviates salt tolerance by improving photosynthetic performance and maintaining mineral ion homeostasis in tomato plants","The strigolactones-mediated DNA demethylation activates the phosphoinositide pathway in response to salt stress","Exogenous strigolactones enhance salinity tolerance in cotton (Gossypium hirsutum L.) seedlings"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Plant Stress Physiology and Molecular Biology"}}
{"question":"I'm working on the rational design of nitrogen-doped carbon dots and I'm hitting a wall with reproducibility and wavelength control. My goal is to move beyond empirical \"trial-and-error\" synthesis. Can you find me recent papers (published in the last 3 years) that specifically investigate the correlation between the molecular structure of nitrogen precursors and the resulting photoluminescence (PL) mechanism of N-CDs? I'm particularly interested in studies that use a combination of experimental characterization (like XPS, FTIR, NMR) and computational simulations (like DFT) to identify the specific nitrogen-containing fluorophores or emissive states responsible for the PL.","answer":["Photoluminescence mechanism of red emissive carbon dots from a diaminobenzoic acid isomer","Graphitic nitrogen induced identical fluorescent emission of carbon dots for scalable anti-counterfeiting applications","Controlling the optoelectronic properties of nitrogen-doped carbon quantum dots using biomass-derived precursors in a continuous flow system","Engineering Nitrogen‐Doped Carbon Quantum Dots: Tailoring Optical and Chemical Properties through Selection of Nitrogen Precursors","Unravelling Chemical Heterogeneity and Dual Emission Pathways in Graphene Quantum Dots via Single-Particle Infrared Spectroscopy","Chemical modification with m -phenylenediamine on the purified carbon nano dots for remarkable enhancement of quantum yields and red-shift of fluorescent emission","Tunable dual photoluminescence from synthesized urea-based carbon quantum dots: A DFT based simulation on structural insights","Precise Regulation Strategy for Fluorescence Wavelength of Aggregation‐Induced Emission Carbon Dots","Impact of nitrogen doping on the polarization properties of carbon quantum dots","Application of surface nitrogen-doped graphene quantum dots in the sensing of ferric ions and glutathione: Spectroscopic investigations and DFT calculations"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Stomatology"}}
{"question":"I am looking for research on carbon dot-based materials for photocatalysis. My interest is specifically in CO2 reduction, but not in hydrogen evolution from water splitting. Could you find papers where the study demonstrates and quantifies the specific products of CO2 reduction, such as methane (CH4), carbon monoxide (CO), or formic acid (HCOOH)? Please exclude papers that only mention \"pollutant degradation\" without focusing on a specific chemical transformation.","answer":["Integrating carbon quantum dots with oxygen vacancy modified nickel-based metal organic frameworks for photocatalytic CO2 reduction to CH4 with approximately 100 % selectivity","Enhanced CH4 selectivity in CO2 photocatalytic reduction over carbon quantum dots decorated and oxygen doping g-C3N4","Harnessing Vis–NIR broad spectrum for photocatalytic CO2 reduction over carbon quantum dots-decorated ultrathin Bi2WO6 nanosheets","Graphene quantum dot-sensitized Zn-MOFs for efficient visible-light-driven carbon dioxide reduction","ZnO1−x/carbon dots composite hollow spheres: Facile aerosol synthesis and superior CO2 photoreduction under UV, visible and near-infrared irradiation","In Situ Encapsulation of Graphene Quantum Dots in Highly Stable Porphyrin Metal-Organic Frameworks for Efficient Photocatalytic CO2 Reduction","Engineering CQDs/Bi2WO6 heterostructure for efficient photocatalytic CO2 reduction and degradation dye via S-scheme charge transfer","Solar-powered CO2 marvel: ultrahigh graphene quantum dots covalently coupled with PhS unleash effective photocatalysis for valuable chemical transformation","Unique hole-accepting carbon-dots promoting selective carbon dioxide reduction nearly 100% to methanol by pure water","Engineering Dual‐Defective 0D/2D VN‐CNQDs/VBi‐Bi4O5Br2 S‐Scheme Heterostructure for Boosting CO2 Photoreduction in Air","Efficient visible and NIR light-driven photocatalytic CO2 reduction over defect-engineered ZnO/carbon dot hybrid and mechanistic insights","Efficient Hole Trapping in Carbon Dot/Oxygen‐Modified Carbon Nitride Heterojunction Photocatalysts for Enhanced Methanol Production from CO 2 under Neutral Conditions","Preparation of Iron‐Doped Carbon Dots and Their Application in Photocatalytic Reduction of Carbon Dioxide","Covalent Organic Framework Hosting Metalloporphyrin‐Based Carbon Dots for Visible‐Light‐Driven Selective CO 2 Reduction","Enhanced Z-scheme ZnS/NH 2− MIL-125(Ti) photocatalysts with biomass-derived carbon quantum dots for CO 2 reduction"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Stomatology"}}
{"question":"Could you help me find the research related to oral evidence-based medicine that is affiliated with Sichuan University?","answer":["A study on the correlation between oral health status and cognitive impairment in elderly population","Efficacy of dexmedetomidine for controlled hypotension in orthognathic surgery: a systematic review","Prognosis of intentional replantation for periapical periodontitis teeth: a systematic review and meta-analysis","The impact of surgery-first approach on the oral health-related quality of life: a systematic review and meta-analysis","Effectiveness, efficiency and adverse effects of using direct or indirect bonding technique in orthodontic patients: a systematic review and meta-analysis","Effect of conventional combined orthodontic-surgical treatment on oral health-related quality of life: A systematic review and meta-analysis","Effectiveness of remineralizing agents in the prevention and reversal of orthodontically induced white spot lesions: a systematic review and network meta-analysis","Efficacy of laser adjuvant therapy in the management of post-operative endodontic pain: A systematic review and meta-analysis","Clinical efficacy of curcumin versus chlorhexidine as an adjunct to scaling and root planing for the treatment of periodontitis: A systematic review and meta-analysis","The effect of supportive care in preventing peri-implant diseases and implant loss: A systematic review and meta-analysis","Long-term clinical performance of flapless implant surgery compared to the conventional approach with flap elevation: A systematic review and meta-analysis","Periodontal health status in cirrhotic patients: a systematic review and meta-analysis","Impact of oral health literacy on oral health behaviors and outcomes among the older adults: a scoping review","Systematic review of risk factors of postoperative dysphagia in patients with oral cancer","Application of platelet-rich fibrin on mandibular third molar extraction: systematic review and Meta-analysis","Evaluation of hyperbaric oxygen therapy for the osteoradionecrosis of the jaws: Meta-analysis","Influence of different types of rapid maxillary expansion on root resorption: a systematic review","Meta-analysis of condylar changes produced by a Twin-block appliance in Class Ⅱ malocclusion","Meta-analysis of the condylar position changes produced by functional appliances in class Ⅱ malocclusion","Single-photon emission computed tomography for the diagnosis of mandibular invasion caused by oral cancers: a systematic review and Meta-analysis","Meta-analysis of prevalence and filling rate of dental caries in preschool children in China","Evidence of Cochrane Systematic Reviews on the Treatment of Temporomandibular Disorders","Orthodontic maximum anchorages in malocclusion treatment: A systematic review and network meta-analysis","Association Between Recurrent Aphthous Ulcers and Oral Biodiversity: A Systematic Review and Meta-Analysis","Reporting Quality of Adverse Events in Temporomandibular Disorders Treatment: A Systematic Review","Effectiveness of remineralising agents in prevention and treatment of orthodontically induced white spot lesions: a protocol for a systematic review incorporating network meta-analysis","Periodontal treatment for cardiovascular risk factors: a systematic review","Safety and Effectiveness of Tinidazole Buccal Tablet on Periodontitis and Pericoronitis: A Prospective Randomized Controlled Trial","Efficacy and safety of traditional Chinese medicine for erosive oral lichen planus: a protocol for systematic review and meta analysis","Evaluating an early childhood caries prevention strategy: a study protocol for a stepped-wedge cluster randomised controlled trial","Survey methods contributing to the difference of dentin hypersensitivity prevalence among publications between 1998 and 2022: a research-on-research study","Application of dental chairside evidence-based medicine for the treatment temporomandibular osteoarthritis"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"I am conducting research on the clinical application of surgical robots in the treatment of oral squamous cell carcinoma, but I have encountered bottlenecks in the application of primary tumor resection. My objective is to exclude studies focusing on the application of robotic surgery in cervical lymph node dissection. Could you help me find papers published in the past five years that specifically investigate the application of robotic surgery in the primary tumor resection of oral squamous cell carcinoma? I am particularly interested in case-control studies and randomized controlled trials that demonstrate the superiority of robotic surgery by comparing it with conventional surgical treatments.","answer":["Transoral robotic surgery in oral tongue cancer patients with trismus: a retrospective evaluation of feasibility and surgical outcomes","Clinical Characteristics and Treatment Outcomes of Oral Cancers Using Transoral Robotic Surgery in an Endemic Region"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Could you help me find empirical studies on Federated Learning for multi-hospital collaborative training of medical imaging AI models, published in Nature Medicine, Nature Communications, or IEEE Transactions on Medical Imaging between 2023 and October 2025?","answer":["An international study presenting a federated learning AI platform for pediatric brain tumors","Addressing data heterogeneity in distributed medical imaging with heterosync learning","Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge","Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer","Decentralized federated learning through proxy model sharing","Achieving flexible fairness metrics in federated medical imaging","Federated Learning of Generative Image Priors for MRI Reconstruction"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Stomatology"}}
{"question":"I am developing an AI model to predict county-level cardiovascular disease burden in a low-resource country by integrating local clinic records, satellite air quality data, and mobile network statistics. However, health officials are skeptical of the model's complex \"black-box\" predictions and refuse to use them for resource allocation without clear reasoning. Can you recommend papers that introduce methods for making such multi-modal, geospatial AI models for public health burden estimation interpretable to non-technical decision-makers?","answer":["An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro","Explainable machine learning models to analyse maternal health","Socioeconomic and Behavioral Drivers of Geographic Disparities in U.S. Cardiovascular Mortality: A Machine Learning Analysis","Machine learning identifies environmental drivers of pulmonary tuberculosis in Xinjiang a typical arid region of China","Deciphering the climate-malaria nexus: A machine learning approach in rural southeastern Tanzania","High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S","Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects","Visualizing Type 2 Diabetes Prevalence: Localizing Model Feature Impacts","Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study","Opioid Overdose Death Prediction Using Machine Learning and Risk Factor Analysis Using SHAP Values for US Counties","Machine learning based suicide prediction and development of suicide vulnerability index for US counties","Decoding Urban-health Nexus: Interpretable Machine Learning Illuminates Cancer Prevalence based on Intertwined City Features","HEALTH-ML: A Machine Learning Framework for Equity-Driven Public Health Outcome Prediction","Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Stomatology"}}
{"question":"Regarding the current IGBT devices, where AlN ceramic plates are used as substrates, and there is a problem of low bonding strength between the AlN substrate and the copper layer during the metalization process, I would like to ask if there are any studies in this direction that can enhance the bonding strength? The literature should be published from January 1, 2023 to November 1, 2025.","answer":["Fabrication of AlN/Cu composite structure via laser surface metallization assisted direct bonding technology","Exploring Novel Substrate Designs and Circuit Fabrication Techniques for Advanced Power Electronics Packaging","Comprehensive influences of manufacturing process integrated with thermal cycling test loading on mechanical responses of power module","Impact of bonding methods and surface finishes on terminal-substrate reliability in EV power modules","Effect of interfacial structure on peel strength between Cu and AlN bonded with a Mg–Ti co-deposited film","Bonding mechanism between the AlN ceramic matrix and the copper-based metal cladding layer","Interface stress analysis and bonding strengthening exploration of metal layer on the laser-activated copper-clad AlN","Design of Cu/Zr Alloy Interface for Enhanced Thermal Fatigue Performance in Electronic Packaging","Mechanical and heat transfer properties of AlN/Cu joints based on nanosecond laser-induced metallization","Effect of fabrication conditions on Cu film formation on Al2O3 and AlN substrates by friction stirring","Effect of Sn element on the interfacial reinforced AlN/Cu joint brazed by Ag–Cu–Ti–(Snx) filler","Microstructure and mechanical properties of AlN and Cu joint using SnAgTi solder metal","The impact of TiC particle addition to Ag–Cu-Ti filler material on the microstructure and mechanical properties of AlN ceramic/Cu brazed joints","Microstructure and mechanical properties of high-quality AlN/Cu joints brazed by a novel AgCuTi + AlCoCrFeNi2.1 composite brazing alloy","Effect of Ni foam on the microstructure and properties of AlN ceramic/Cu brazed joint","Constructing a heterogeneous interlayer in relieving the residual stresses for the AlN/Cu brazed joint used in IGBT","Laser Applications in Ceramic and Metal Joining: A Review","Heat-resistant durability of AMB substrates for SiC power devices: AlN and Si3N4, which one is thermally strong?","Cu patterns with high adhesion strength and fine resolution directly fabricated on ceramic boards by ultrafast laser modification assisted metallization","The design of nano-porous photocatalytic intermediate layer to fabricate the copper layer on AlN ceramic with high bonding strength through the interlocking microstructure."],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"High-entropy alloy coatings, due to their multiple alloy properties, are widely applied in various fields. Currently, it is necessary to prepare high-entropy alloy coatings on cutting tools, with the main components including aluminum, tungsten, and molybdenum. The coating is required to have higher hardness and better high-temperature stability. The publication time of the paper should be from January 2023 to October 2025.","answer":["High-temperature tribological properties of tungsten carbide reinforced high-entropy-alloy composite coating by laser cladding","Study on the wear mechanism of high-entropy alloy coated tools and grain evolution in micro-cutting of TC4 titanium alloy","High-Speed Milling of Heat-Resistant Alloys with Tools with High-Entropy Wear-Resistant Coatings","Improvement of high temperature wear resistance of laser-cladding high-entropy alloy coatings: A review","Exploring microstructural, interfacial, mechanical, and wear properties of AlSi7Mg0. 3 composites with TiMOVWCr high-entropy alloy powder","Recent Advances in High-Temperature Properties of High-Entropy Alloys","High-Entropy Alloy Films","Analysis of Technologies for Applying High-Entropy Coatings by Physical Deposition Method","Quo Vadis: AlCr-Based Coatings in Industrial Applications","High-temperature oxidation behavior of laser-cladded refractory Al0.75NbNi0.1Mo0.1Cr0.5Si0.1Wx high-entropy coatings"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Could you help me retrieve papers on grounding grid corrosion diagnosis published in electrical engineering journals in the past two years? I’ll attach the previous checklist; please revise and polish it to fit this topic.","answer":["Research on the diagnosis method of grounding grid conductor integrity based on blind source separation algorithm and grey relational analysis","Evaluation of grounding grid corrosion extent based on laser-induced breakdown spectroscopy (LIBS) combined with machine learning","On-Site Electrochemical Detection of Corrosion in Substation Grounding System"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Electrical Engineering"}}
{"question":"I am currently addressing the issue of multi-algorithm citation comparison for underdetermined systems of equations, but I lack sufficient relevant research papers. Please help me find academic papers on the applications of metaheuristic algorithms in the field of underdetermined systems of equations, published before November 2025, with a preference for novel algorithms. The search directions are not restricted to any specific areas.","answer":["Solving systems of nonlinear equations with real world problems using an advanced hybrid algorithm","A Solution Method for Non-Linear Underdetermined Equation Systems in Grounding Grid Corrosion Diagnosis Based on an Enhanced Hippopotamus Optimization Algorithm","A novel multiobjective optimization algorithm for sparse signal reconstruction","Sparse signal reconstruction by swarm intelligence algorithms","Cuckoo Search Based Backcalculation Algorithm for Estimating Layer Properties of Full-Depth Flexible Pavements"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I'm currently writing a review paper on reinforcement learning for fault diagnosis, but due to the specific nature of the fault diagnosis task, I can't determine whether reinforcement learning is directly applied to the fault diagnosis task itself. Could you recommend some papers that demonstrate how reinforcement learning directly determines the fault category?","answer":["Intelligent Fault Diagnosis for Planetary Gearbox Using Time-Frequency Representation and Deep Reinforcement Learning","Fault Diagnosis of Rotating Machinery Based on Deep Reinforcement Learning and Reciprocal of Smoothness Index","Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach","A new intelligent fault diagnosis framework for rotating machinery based on deep transfer reinforcement learning","A deep reinforcement transfer convolutional neural network for rolling bearing fault diagnosis","A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis","A deep reinforcement learning-based intelligent fault diagnosis framework for rolling bearings under imbalanced datasets","A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis","A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation","An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning","Research on intelligent fault diagnosis for railway point machines using deep reinforcement learning","A reinforcement double deep Q-network with prioritised experience replay for rolling bearing fault diagnosis","Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method","A Reinforcement Learning System for Fault Detection and Diagnosis in Mechatronic Systems","A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis","Environment adaptive deep reinforcement learning for intelligent fault diagnosis","Deep reinforcement learning for class imbalance fault diagnosis of equipment in nuclear power plants","Development of deep reinforcement learning-based fault diagnosis method for rotating machinery in nuclear power plants"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"Could you please find any papers that use reinforcement learning methods for remaining lifetime prediction? Reinforcement learning is not used as an optimization technique to improve the remaining lifetime prediction model, but rather to directly perform the remaining lifetime prediction task. The input to reinforcement learning is not network parameter weights, but sequence data.","answer":["A Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Reinforcement Learning","Health Indicator Construction Based on Multisensors for Intelligent Remaining Useful Life Prediction: A Reinforcement Learning Approach","A soft actor-critic reinforcement learning-based method for remaining useful life prediction","Method for remaining useful life prediction of rolling bearings based on deep reinforcement learning","Remaining Useful Life Estimation in Prognostics Using Deep Reinforcement Learning","A ResNet-Based Deep Reinforcement Learning Framework Using Soft Actor-Critic for Remaining Useful Life Prediction of Rolling Bearings","Remaining Useful Life Prediction of Power MOSFETs Based on Deep Reinforcement Learning","A Generative Reinforcement Learning Framework for Predictive Analytics","A Deep Reinforcement Learning Approach for Early Classification of Time Series"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"Please identify papers published in MICCAI, IEEE TMI, or CVPR (between 2023 and 2024) that utilize Federated Learning for medical image analysis. The papers must specifically address the Non-IID (Heterogeneous data) problem using Prototype Learning or Contrastive Learning techniques.","answer":["FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification","Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning","FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-aware Aggregation","FACMIC: Federated Adaptative CLIP Model for Medical Image Classification","FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Medical Imaging"}}
{"question":"I want to adapt the Segment Anything Model (SAM) for medical image segmentation (e.g., CT/MRI) specifically under weakly-supervised settings (using points or bounding boxes as sparse prompts). I am looking for papers published in 2023 or 2024 that propose adapter modules or fine-tuning strategies to improve SAM's performance on medical data without full-model retraining. (before Nov).","answer":["Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation","3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation","MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation","Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models","NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation","Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Medical Imaging"}}
{"question":"I am building a model to predict the transmission quality of optical paths in an optical network, but I am facing problems with model training due to the limited number of available samples. Can you recommend any papers on training optical path QoT prediction models under small sample conditions?","answer":["Domain adversarial adaptation framework for few-shot QoT estimation in optical networks","Meta-learning-aided QoT estimator provisioning for a dynamic VNT configuration in optical networks","Sample-distribution-matching-based transfer learning for QoT estimation in optical networks","Evolutionary neuron-level transfer learning for QoT estimation in optical networks","Reducing probes for quality of transmission estimation in optical networks with active learning","Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited]","Lightpath QoT computation in optical networks assisted by transfer learning","Model transfer of QoT prediction in optical networks based on artificial neural networks","Demonstration of distributed collaborative learning with end-to-end QoT estimation in multi-domain elastic optical networks","Assessment of cross-train machine learning techniques for QoT-estimation in agnostic optical networks","Transfer Learning Using ANN for G-OSNR Estimation in WDM Network Topologies","Machine-learning-based lightpath QoT estimation and forecasting","Accurate Quality of Transmission Estimation With Machine Learning","Privacy-Preserving Distributed Learning Framework for 6G Telecom Ecosystems","Meta Learning based QoT Estimation of lightpaths with few samples for Optical Networks","Iterative Transfer Learning Approach for QoT Prediction of Lightpath in Optical Networks","Integrating Knowledge Distillation and Transfer Learning for Enhanced QoT-Estimation in Optical Networks","On the benefits of domain adaptation techniques for quality of transmission estimation in optical networks","Toward Deployments of ML Applications in Optical Networks","Active learning of optical path classification","A Meta-Learning-Assisted Training Framework for Physical Layer Modeling in Optical Networks","Transfer learning aided qot computation in network operating with the 400zr standard","Data Efficient Estimation for Quality of Transmission Through Active Learning in Fiber-Wireless Integrated Network","Fast adaptation of multi-task meta-learning for optical performance monitoring","Adaptive alarm prediction in optical network based on model generalization in cross-layer AI","Lifelong QoT prediction: an adaptation to real-world optical networks","Digital-twin-assisted meta learning for soft-failure localization in ROADM-based optical networks","Learning quantile QoT models to address uncertainty over unseen lightpaths","Learning Process for Reducing Uncertainties on Network Parameters and Design Margins","Machine learning regression for QoT estimation of unestablished lightpaths"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Communication Engineering"}}
{"question":"Could you help me retrieve some papers that focus on machine learning-based optical path QoT prediction methods in optical networks, specifically addressing the small sample size problem in model training, but excluding methods that use sample generation for model training?","answer":["Domain adversarial adaptation framework for few-shot QoT estimation in optical networks","Meta-learning-aided QoT estimator provisioning for a dynamic VNT configuration in optical networks","Sample-distribution-matching-based transfer learning for QoT estimation in optical networks","Evolutionary neuron-level transfer learning for QoT estimation in optical networks","On the benefits of domain adaptation techniques for quality of transmission estimation in optical networks","Reducing probes for quality of transmission estimation in optical networks with active learning","Assessment of Domain Adaptation Approaches for QoT Estimation in Optical Networks","Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited]","Model transfer of QoT prediction in optical networks based on artificial neural networks","Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks","Lifelong QoT prediction: an adaptation to real-world optical networks","QoT Estimation with Margin-Driven Transfer Learning in Time-Varying Optical Networks","Transfer Learning Using ANN for G-OSNR Estimation in WDM Network Topologies","Machine-learning-based lightpath QoT estimation and forecasting","Iterative Transfer Learning Approach for QoT Prediction of Lightpath in Optical Networks","Integrating Knowledge Distillation and Transfer Learning for Enhanced QoT-Estimation in Optical Networks","Toward Deployments of ML Applications in Optical Networks","A QoT prediction technique based on machine learning and NLSE for QoS and new lightpaths in optical communication networks","A Meta-Learning-Assisted Training Framework for Physical Layer Modeling in Optical Networks","Transfer learning aided qot computation in network operating with the 400zr standard","Application of ML Algorithms for Prediction of the QoT in Optical Networks with Imbalanced and Incomplete Data","Fast adaptation of multi-task meta-learning for optical performance monitoring","Adaptive alarm prediction in optical network based on model generalization in cross-layer AI"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Communication Engineering"}}
{"question":"I am curating a new exhibition for a university museum which focus on science and technology, but I can not find theories which focus on how technology is presented in museums, would you please help me to find some?","answer":["Employing AI-Based Tools to Support Exhibition Design: A Science and Technology Museum Case Study","Embodied ephemeralities: Methodologies and historiographies for investigating the display and spatialization of science and technology in the twentieth century","Designing for Embodied Proximity","Design-Based Research on Digital Media in a Museum Environment","The Mediterranean forest in a science museum: engaging children through drawings that come to life in a virtual world","The development and evaluation of Chinese digital science and technology museum","Somatosensory Interaction of the Science Exhibition Based on Flow Theory","Designing for a socioenactive experience: A case study in an educational workshop on deep time","Reaching Broad Audiences from a Science Center or Museum Setting","Exhibiting Science: Changing Conceptions of Science Museum Display","‘I know how it works!’ student engagement with exhibits in a science museum","Engaging the Public in Public Policy"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Museology"}}
{"question":"Could you please find papers which disagree the Sharon Macdonald's ANT theory?","answer":["Curating actor-network theory: testing object-oriented sociology in the Science Museum","The role of technologies in cultural mediation in museums: an Actor-Network Theory view applied in France"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Museology"}}
{"question":"I am currently writing a review on the application of dynamic magnetic resonance imaging in the flexion-extension position of the spine. I need to integrate various imaging methods, studies targeting specific diseases, and data stratified by age groups. However, I lack relevant literature for analysis. Could you recommend some relevant papers so that I can simplify the multivariate analysis while not losing the collaborative insights of different elements?","answer":["Dynamic flexion-extension magnetic resonance imaging of the cervical spine: an Evolutionary Tool for diagnosis and management of cervical spondylotic myelopathy","MRI‐based measurement of in vivo disc mechanics in a young population due to flexion, extension, and diurnal loading","Factors affecting dynamic foraminal stenosis in the lumbar spine","Safety of dynamic magnetic resonance imaging of the cervical spine in children performed without neurosurgical supervision","Dynamic bulging of intervertebral discs in the degenerative lumbar spine","Analysis of the relationship between the facet fluid sign and lumbar spine motion of degenerative spondylolytic segment using Kinematic MRI","Risk factors for missed dynamic canal stenosis in the cervical spine","High reliability and accuracy of dynamic magnetic resonance imaging in the diagnosis of cervical Spondylotic myelopathy: a multicenter study","Flexion/Extension Cervical Magnetic Resonance Imaging: A Potentially Useful Tool for Decision-Making in Patients with Symptomatic Degenerative Cervical Spine","Dynamic changes of the spinal canal in patients with cervical spondylosis at flexion and extension using magnetic resonance imaging","Radiological and Clinical Significance of Cervical Dynamic Magnetic Resonance Imaging for Cervical Spondylotic Myelopathy","Real-time dynamic 3-T MRI assessment of spine kinematics: a feasibility study utilizing three different fast pulse sequences","Feasibility and Safety of Cervical Kinematic Magnetic Resonance Imaging in Patients with Cervical Spinal Cord Injury without Fracture and Dislocation","The Role of Dynamic Magnetic Resonance Imaging in Cervical Spondylotic Myelopathy","The contribution of cervical dynamic magnetic resonance imaging to the surgical treatment of cervical spondylotic myelopathy","The value of dynamic MRI in cervical spondylotic myelopathy: About 24 cases"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Could you help identify clinical trials that investigate minimally invasive surgical techniques for colorectal cancer liver metastases requiring radical resection but NOT including radiofrequency ablation, specifically for patients with bilobar disease but excluding those who have received prior hepatic artery infusion chemotherapy, focusing on laparoscopic approaches rather than open surgery?","answer":["Long-term oncologic outcomes after laparoscopic versus open resection for colorectal liver metastases: a randomized trial","One-stage laparoscopic parenchymal sparing liver resection for bilobar colorectal liver metastases: safety, recurrence patterns and oncologic outcomes","Radiofrequency ablation in the treatment of liver metastases from colorectal cancer","Combined regional and systemic chemotherapy by a mini-invasive approach for the treatment of colorectal liver metastases","Laparoscopic versus open resection for colorectal liver metastases: the OSLO-COMET randomized controlled trial","Effect of PET before liver resection on surgical management for colorectal adenocarcinoma metastases: a randomized clinical trial","Hepatic arterial infusion in combination with systemic chemotherapy in patients with hepatic metastasis from colorectal cancer: a randomized phase II study - (NCT05103020) - study protocol","Hepatic arterial infusion chemotherapy for colorectal cancer metastasis to the liver","Long-Term Oncologic Outcomes After Laparoscopic Versus Open Resection for Colorectal Liver Metastases","Two-stage laparoscopic liver resection for bilateral colorectal liver metastasis","The role of the laparoscopic approach in two-stage hepatectomy for colorectal liver metastases: a single-center experience","Recent Advances in Minimally Invasive Liver Resection for Colorectal Cancer Liver Metastases—A Review","Robotic versus Laparoscopic Liver Resections for Colorectal Metastases: A Systematic Review and Meta-Analysis","Laparoscopic versus open resection of primary colorectal cancers and synchronous liver metastasis: a systematic review and meta-analysis","Robotic and laparoscopic liver surgery for colorectal liver metastases: an experience from a German Academic Center","Systematic Review Comparing the Effectiveness of Robotic verse Laparoscopic Liver Surgery in Colorectal Liver Metastasis (CRLM)","Simultaneous robotic-assisted resection of colorectal cancer and synchronous liver metastases: a systematic review","Robotic synchronous resection of rectal cancer and liver metastases: Current evidence and review","Results after simultaneous surgery and RFA liver ablation for patients with colorectal carcinoma and synchronous liver metastases","Safety and long-term prognosis of simultaneous versus staged resection in synchronous colorectal cancer with liver metastasis: a systematic review and meta-analysis","Interventional Oncology for Colorectal Liver Metastases: From Local Cure to Salvage Therapy","Optimizing treatment of hepatic metastases from colorectal cancer: Resection or resection plus ablation?","Simultaneous resection for colorectal cancer with synchronous liver metastases: current state-of-the-art"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"I’m working on atmospheric error correction for InSAR (Interferometric Synthetic Aperture Radar) using deep learning methods, but I’ve encountered several persistent challenges, such as limited training data, generalizability and interpretability. Please help me search for papers published before November 1, 2025, that propose deep learning-based solutions specifically targeting InSAR atmospheric error correction, with a focus on improving cross-region adaptability, leveraging limited or noisy labeled data, enhancing model interpretability, or effectively modeling temporal atmospheric patterns. Please exclude papers that only apply traditional statistical or numerical weather models without a core deep learning or machine learning component, or those focused solely on other InSAR errors (e.g., deformation, topography) without explicit atmospheric correction.","answer":["InSAR spatial-heterogeneity tropospheric delay correction in steep mountainous areas based on deep learning for landslides monitoring","Removing InSAR topography-dependent atmospheric effect based on deep learning","ARU-net: Reduction of atmospheric phase screen in SAR interferometry using attention-based deep residual U-net","Improving time-series InSAR deformation estimation for city clusters by deep learning-based atmospheric delay correction","An attempt at improving atmospheric corrections in InSAR using cycle-consistent adversarial networks","Using generative adversarial networks for extraction of insar signals from large-scale Sentinel-1 interferograms by improving tropospheric noise correction","Time-series InSAR with deep-learning-based topography-dependent atmospheric delay correction for potential landslide detection","Recurrent neural networks for atmospheric noise removal from InSAR time series with missing values","An Interferometric Synthetic Aperture Radar Tropospheric Delay Correction Method Based on a Global Navigation Satellite System and a Backpropagation Neural Network: More Suitable for Areas with Obvious Terrain Changes","Improving tropospheric corrections on large-scale Sentinel-1 interferograms using a machine learning approach for integration with GNSS-derived zenith total delay (ZTD)","TropoDeep: a deep learning-based model for InSAR tropospheric correction on large-scale interferograms using GNSS and WRF outputs","Improving Atmospheric Noise Correction from InSAR Time Series Using Variational Autoencoder with Clustering (VAE-Clustering) Method","Removing Atmospheric Noise from InSAR Interferograms in Mountainous Regions with a Convolutional Neural Network","Autonomous Extraction of Millimeter-scale Deformation in InSAR Time Series Using Deep Learning","Deep Learning-Based Coseismic Deformation Estimation From InSAR Interferograms","The Influence of Topography-Dependent Atmospheric Delay for the InSAR Time-Series Results and the Deep Neural Network Correction"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Earth Sciences"}}
{"question":"I'm working on hyperspectral image classification using Recurrent Neural Networks (RNN), particularly LSTM and GRU architectures, and encountering several persistent challenges, Spectral-Spatial Feature Integration Bottleneck, High Computational Cost, Limited Performance Gain, Vanishing/Exploding Gradients in Deep Spectral Processing, Fixed-Length Input Restriction. I'm looking for papers published before 2023 that propose novel RNN-based approaches specifically for hyperspectral image classification, Please exclude papers that: Focus primarily on other network types (like pure CNNs or transformers) with only marginal RNN components, Don't specifically target hyperspectral image classification as the primary application, Are published after 2023 or are review/survey papers without novel methodological contributions.","answer":["Cascaded recurrent neural networks for hyperspectral image classification","GRU with spatial prior for hyperspectral image classification","Guided filter based deep recurrent neural networks for hyperspectral image classification","Hyperspectral image classification based on long short term memory network","Spectral-spatial classification for hyperspectral image based on a single GRU","Spectral-spatial classification of hyperspectral imagery based on recurrent neural networks","Bidirectional-convolutional LSTM based spectral-spatial feature learning for hyperspectral image classification","Hyperspectral Image Classification Based on Bidirectional Gated Recurrent Units","Hyperspectral image classification using attention-based bidirectional long short-term memory network","Geometry-aware deep recurrent neural networks for hyperspectral image classification","Convolutional Recurrent Neural Networks for Hyperspectral Data Classification","Hyperspectral Image Classification Using Spectral-Spatial LSTMs","A Band Grouping Based LSTM Algorithm for Hyperspectral Image Classification","Deep Recurrent Neural Networks for Hyperspectral Image Classification","Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification","Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification","Hyperspectral Image Classification Using Similarity Measurements-Based Deep Recurrent Neural Networks","Multi-scale hierarchical recurrent neural networks for hyperspectral image classification","3-D Convolution-Recurrent Networks for Spectral-Spatial Classification of Hyperspectral Images","A Spectral-Spatial Cascaded 3D Convolutional Neural Network with a Convolutional Long Short-Term Memory Network for Hyperspectral Image Classification","TARDB-Net: triple-attention guided residual dense and BiLSTM networks for hyperspectral image classification","Hyperspectral Image Classification via a Novel Spectral–Spatial 3D ConvLSTM-CNN","Deep LSTM with Guided Filter for Hyperspectral Image Classification","Bi-directional LSTM with multi-scale dense attention mechanism for hyperspectral image classification","Fast Sequential Feature Extraction for Recurrent Neural Network-Based Hyperspectral Image Classification","Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification","Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery","Multiscanning Strategy-Based Recurrent Neural Network for Hyperspectral Image Classification","Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks","Spatial-Spectral Network for Hyperspectral Image Classification: A 3-D CNN and Bi-LSTM Framework","A Bidirectional Deep-Learning-Based Spectral Attention Mechanism for Hyperspectral Data Classification","Spectral-Spatial Attention Networks for Hyperspectral Image Classification","Pooled hybrid-spectral for hyperspectral image classification","Learning Multiscale Temporal–Spatial–Spectral Features via a Multipath Convolutional LSTM Neural Network for Change Detection With Hyperspectral Images","Hyperspectral Image Features Classification Using Deep Learning Recurrent Neural Networks","Application of near-infrared hyperspectral imaging for variety identification of coated maize kernels with deep learning","Hyperspectral Image Classification: An Analysis Employing CNN, LSTM, Transformer, and Attention Mechanism","Grouped Bidirectional LSTM Network and Multistage Fusion Convolutional Transformer for Hyperspectral Image Classification","Deep Learning for Classification of Hyperspectral Data: A Comparative Review","An optimal model using hybrid LCNN- GRU for efficient hyperspectral image classification","HSI Classification: A Comprehensive Review, Dataset, and Future Trends","Pixel-Level Recognition of Trace Mycotoxins in Red Ginseng Based on Hyperspectral Imaging Combined with 1DCNN-Residual-BiLSTM-Attention Model","Spatial-Spectral Transformer for Hyperspectral Image Denoising"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Earth Sciences"}}
{"question":"I am developing a Retrieval-Augmented Generation (RAG) system specifically for the medical domain. Standard metrics like BLEU or ROUGE are insufficient for measuring safety. Can you recommend papers published between 2023 and 2025 that propose specific benchmarks or evaluation frameworks designed to detect hallucinations or factual errors in medical LLMs or medical RAG systems?","answer":["Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK","Detecting and evaluating medical hallucinations in large vision language models","DAHL: Domain-specific automated hallucination evaluation of long-form text through a benchmark dataset in biomedicine","Benchmarking retrieval-augmented generation for medicine","Medical hallucinations in foundation models and their impact on healthcare","Medhalu: Hallucinations in responses to healthcare queries by large language models","Halo: Hallucination analysis and learning optimization to empower llms with retrieval-augmented context for guided clinical decision making","Rule: Reliable multimodal rag for factuality in medical vision language models","Enhancing Health Information Retrieval with RAG by prioritizing topical relevance and factual accuracy","Addressing hallucinations with rag and nmiss in italian healthcare llm chatbots","VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records","MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks","MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models","Med-HALT: Medical Domain Hallucination Test for Large Language Models","A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation","FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence","imapScore: Medical Fact Evaluation Made Easy","Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs","A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models","A dataset for evaluating clinical research claims in large language models","Medical Hallucination in Foundation Models and Their Impact on Healthcare","HealthBench: Evaluating Large Language Models Towards Improved Human Health","LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation","RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models","Process Reward Models for Sentence-Level Verification of LVLM Radiology Reports","Evaluating Retrieval-Augmented Generation Variants for Clinical Decision Support: Hallucination Mitigation and Secure On-Premises Deployment","Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts","Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering","Detecting and Evaluating Medical Hallucinations in Large Vision Language Models","Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain","Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation","MIRA: A Novel Framework for Fusing Modalities in Medical RAG","RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models","Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models","Almanac: Retrieval-Augmented Language Models for Clinical Medicine","Development and Evaluation of a Retrieval-Augmented Generation Chatbot for Orthopedic and Trauma Surgery Patient Education: Mixed-Methods Study","Addressing Hallucinations with RAG and NMISS in Italian Healthcare LLM Chatbots","Enhancing Large Language Models for Improved Accuracy and Safety in Medical Question Answering: Comparative Study","BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science","Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy","Retrieval Augmented Generation Evaluation for Health Documents","Trustworthy Medical Question Answering: An Evaluation-Centric Survey","MedCite: Can Language Models Generate Verifiable Text for Medicine?","Fact or Guesswork? Evaluating Large Language Models' Medical Knowledge with Structured One-Hop Judgments","MedExQA: Medical Question Answering Benchmark with Multiple Explanations","Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases","Medical Hallucinations in Foundation Models and Their Impact on Healthcare","Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please provide papers on Parameter-Efficient Fine-Tuning (PEFT) methods for Large Language Models aimed at improving performance over the original LoRA. However, I am NOT interested in quantization-based methods (like QLoRA). The papers should be published in 2024 or 2025.","answer":["Splitlora: A split parameter-efficient fine-tuning framework for large language models","DoRA: Weight-Decomposed Low-Rank Adaptation","DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I am currently interested in Latent Profile Analysis (LPA). As a researcher in the field of foreign language education, my academic focus lies particularly in cognitive and affective factors. I would like to know about research papers in foreign language education that incorporate cognitive and affective constructs and adopt the LPA methodology. Could you recommend some relevant articles to me?","answer":["A latent profile analysis of Chinese EFL learners’ enjoyment and anxiety in reading and writing: associations with imaginative capacity and story continuation writing performance","A latent profile analysis of L2 writing emotions and their relations to writing buoyancy, motivation and proficiency","Exploring the profiles of foreign language learners’ writing self-regulation: focusing on individual differences","A latent profile analysis of Informal Digital Learning of English: Emotion regulation strategies as predictors and willingness to communicate as outcomes","How teacher support influences EFL learners’ emotions? A Latent Profile Transition Analysis","Profiling EFL Students’ Motivation and Anxiety in Collaborative Learning: Associations With Teachers’ Support, Self‐Regulated Learning, and Achievement","A latent profile analysis of students’ motivation of engaging in one-to-one computing environment for English learning","GROWTH, FIXED, AND MIXED MINDSETS","Unpacking the relationship between achievement goals, grit and engagement among Chinese university students: variable- and person-centered approaches","A latent profile analysis of future selves and grit among multilingual learners: Associations with language learning engagement","Students’ L2 grit, foreign language anxiety and language learning achievement: a latent profile and mediation analysis","Profiles of motivation and engagement in foreign language learning: Associations with emotional factors, academic achievement, and demographic features","A latent profile analysis of Chinese high school students’ control and value appraisals: Associations with enjoyment, boredom, and language achievement","A latent profile analysis of emotional intelligence and its relationship with L2 student writing feedback literacy","Latent profile analysis reveals heterogeneity related to motivation, effort, and outside of class behaviors in digital environments among Chinese university students","A latent profile analysis of EFL learners’ self-efficacy: Associations with academic emotions and language proficiency","EFL students’ profiles of English reading self-efficacy: Relations with reading enjoyment, engagement, and performance","Beyond emotional exhaustion: Mapping proximal profiles and distal triggers of second language burnout in Chinese high school students","Motivation and self-regulated learning profiles: A person-centered perspective of English learning and achievement in an Asia context","Deep Learning Engagement as a Predictor of Academic Self-Efficacy and Language Performance","Effects of AI Affordances on Student Engagement in EFL Classrooms: A Structural Equation Modelling and Latent Profile Analysis","Applying the online language learners' characteristics model in connection with various personality traits: A latent profile analysis","Exploring latent profiles in the relationship between learning atmosphere, negative emotions, and willingness to communicate among EFL learners","Exploring Engagement, Self-Efficacy, and Anxiety in Large Language Model EFL Learning: A Latent Profile Analysis of Chinese University Students","Profiles of the Future L2 Selves in Foreign Language Learning: Associations With Emotions, Willingness to Communicate, and Personality Traits","Understanding self-regulation, achievement emotions, and mindset of undergraduates in emergency remote teaching: a latent profile analysis","Latent profiles of learning engagement and anxiety in high school students: the mediating role of academic self-efficacy","Typologies of teaching strategies in classrooms and students' metacognition and motivation: a latent profile analysis of the Greek PISA 2018 data"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Linguistics"}}
{"question":"As a researcher focusing on foreign language emotions, could you recommend peer-reviewed academic papers in the field of university-level foreign language education that center on the three core emotional variables—foreign language enjoyment (FLE), foreign language anxiety (FLA/FLCA), and foreign language boredom (FLB)—with the requirements that the papers must be published between 2012 and 2025 and exclude any content related to foreign language burnout?","answer":["Enjoymen, Boredom, and Anxiety in the Spanish Language Classroom","Teacher perceptions of teaching enjoyment and student foreign language enjoyment and anxiety","A review of foreign language learners' emotions","The predictive effects of foreign language anxiety and boredom on willingness to communicate among Chinese struggling EFL learners","Predictors of foreign language proficiency: Emotion regulation, foreign language enjoyment, or academic stress?","Classroom environment and willingness to communicate in English: The mediating role of emotions experienced by university students in China","A control–value theory approach to boredom in English classes among university students in China","Investigating factors responsible for boredom in English classes: The case of advanced learners","How unique is the foreign language classroom enjoyment and anxiety of Chinese EFL learners?","Teacher enthusiasm and students’ social-behavioral learning engagement: The mediating role of student enjoyment and boredom in Chinese EFL classes","Modelling boredom in the EFL context: An investigation of the role of coping self-efficacy, mindfulness, and foreign language enjoyment","The predictive effects of classroom environment and trait emotional intelligence on foreign language enjoyment and anxiety","Foreign language enjoyment, anxiety, and boredom among Chinese L3 learners: the predictive effects of learner and teacher variables","Emotions in English language classrooms among Chinese top university students","Modeling the associations between L2 teacher support and EFL learners’ reading motivation: The mediating impact of reading enjoyment, anxiety, and boredom","The predictive effects of foreign language enjoyment, anxiety, and boredom on general and domain-specific English achievement in online English classrooms","The Impact of EFL Learners' Negative Emotional Orientations on (Un)Willingness to Communicate in In-person and Online L2 Learning Contexts","The Relationship Between Chinese English Major Students' Learning Anxiety and Enjoyment in an English Language Classroom: A Positive Psychology Perspective","Foreign language enjoyment and foreign language classroom anxiety among Chinese learners of German","Foreign language enjoyment and anxiety in the communicative classroom","Foreign Language Enjoyment and Anxiety as the Correlates of the Ideal L2 Self in the English as a Foreign Language Context","Foreign language learning boredom: conceptualization and measurement","Unpacking boredom factors of Chinese foreign language major students in translation classes: A sequential mixed methods study","Boredom in online classes in the Iranian EFL context: Sources and solutions","Activity-induced boredom in online EFL classes","The antecedents of boredom in L2 classroom learning","A Longitudinal Analysis of Informal Digital Learning of English, Willingness to Communicate and Foreign Language Boredom: A Latent Change Score Mediation Model","A Comparative Study of the Experience of Boredom in the L2 and L3 Classroom","The Effect of Foreign Language Boredom on Willingness to Communicate in Classroom","The predictive power of sociobiographical and linguistic variables on foreign language anxiety of Chinese university students","Predictive Effects of English Classroom Anxiety and Motivation on Chinese Undergraduate EFL Learners’ English Achievement","The Effect of Foreign Language Anxiety on College Students Online Learning","Classroom Social Climate and Student Engagement in English as a Foreign Language Learning: The Mediating Roles of Academic Buoyancy and Academic Emotions","Exploring the Effect of Language-related Academic Emotions on Foreign Language Achievement: A Systematic Review and Meta Analysis","Modeling the Contribution of Anxiety, Enjoyment, and Classroom Environment to Boredom among Students of English as a Foreign Language Students","Online Foreign Language Learning in Higher Education and Its Correlates during the COVID-19 Pandemic","Exploring the relationships among emotions, willingness to communicate and flow experience in Chinese EFL learners: a structural equation modelling approach","Foreign Language Enjoyment and Anxiety of Chinese EFL Learners at the Tertiary Level: A Pseudo-Longitudinal Investigation","Language Attitude and GenAI Attitude of Struggling EFL Learners: A Moderated Mediation Model of Enjoyment and Anxiety","Relations among and Predictive Effects of Anxiety, Enjoyment and Self-Efficacy on Chinese Interpreting Majors' Self-Rated Interpreting Competence","Foreign language learning boredom and enjoyment: The effects of learner variables and teacher variables","Enhancing foreign language enjoyment through online cooperative learning: a longitudinal study of EFL learners","How skills-based classroom activities shape learners' foreign language enjoyment: a mixed-modelling longitudinal examination","From Global to Local: Investigating the Role of Enjoyment and Anxiety in Interpreting Achievement","Emotional dynamics in L3 Japanese learning: a pseudo-longitudinal study of enjoyment and boredom across different skill levels","FLE, FLCA, and FL Perceived Competence and FL Learning Effort in Saudi Military Cadets: A Structural Equation Modeling Approach"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Linguistics"}}
{"question":"Please identify papers that propose a SLAM (Simultaneous Localization and Mapping) system utilizing 3D Gaussian Splatting as the underlying scene representation. The papers must be formally published in the proceedings of CVPR 2024 (Conference on Computer Vision and Pattern Recognition).","answer":["Gaussian Splatting SLAM","SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM","GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I am looking for research papers on \"jailbreaking\" attacks against Large Language Models (LLMs) that were published in ICLR 2024. Specifically, I need automated black-box attack methods (using prompt engineering or optimization). Please EXCLUDE any methods that require white-box access (i.e., exclude gradient-based attacks like GCG).","answer":["BlackDAN: A Black-Box Multi-Objective Approach to Effective and Contextual Jailbreaking of Language Models","AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models","BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models","Jailbreaking Black Box Large Language Models in Twenty Queries","Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning","Untargeted Jailbreak Attack"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I am developing an LLM-based agent system for long-horizon scientific literature search, but I find that agents often hallucinate citations or fail to verify claims against the original papers. I am looking for research that proposes evaluation frameworks or benchmarks specifically designed to test LLM or agent-based systems on citation grounding, claim verification, or hallucination detection, where the evaluation requires checking model outputs against real academic papers, rather than synthetic QA pairs.","answer":["CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation","CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?","Towards fine-grained citation evaluation in generated text: A comparative analysis of faithfulness metrics","CiteME: Can Language Models Accurately Cite Scientific Claims?","AttributionBench: How Hard is Automatic Attribution Evaluation?","ExpertQA: Expert-Curated Questions and Attributed Answers","SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers","Automatic Evaluation of Attribution by Large Language Models","WICE: Real-World Entailment for Claims in Wikipedia","SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification","Can AI Validate Science? Benchmarking LLMs for Accurate Scientific Claim $\\rightarrow$ Evidence Reasoning","SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature","A scalable framework for evaluating multiple language models through cross-domain generation and hallucination detection","Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science","ResearchArena: Benchmarking Large Language Models' Ability to Collect and Organize Information as Research Agents"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"Could you help me find papers published at ACL or EMNLP (2022–2024) that introduce benchmarks or evaluation datasets for large language models, where the benchmarks are specifically designed to evaluate long-context understanding or multi-document reasoning, and the first author is affiliated with a university rather than an industry lab?","answer":["LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I am building an LLM-based research assistant for academic writing, but I notice that the model often generates incorrect or fabricated citations. I want to find research that proposes benchmarks or evaluation frameworks to assess hallucination, factual consistency, or citation correctness in LLM-generated texts, where the evaluation requires verifying model outputs against real-world documents or real academic papers, rather than synthetic datasets.","answer":["Med-halt: Medical domain hallucination test for large language models","Halueval-wild: Evaluating hallucinations of language models in the wild","Examining the Reliability of ChatGPT: Identifying Retracted Scientific Literature and Ensuring Accurate Citations and References","Can LLMs Write Faithfully? An Agent-Based Evaluation of LLM-generated Islamic Content","Survey on factuality in large language models","RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking","DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence","CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation","FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation","RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models","HalluLens: LLM Hallucination Benchmark","CiteME: Can Language Models Accurately Cite Scientific Claims?","Enabling Large Language Models to Generate Text with Citations","CitaLaw: Enhancing LLM with Citations in Legal Domain","Evaluating Verifiability in Generative Search Engines","Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses","AttributionBench: How Hard is Automatic Attribution Evaluation?","FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence","Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models","ExpertQA: Expert-Curated Questions and Attributed Answers","HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution","An Evaluation Framework for Attributed Information Retrieval using Large Language Models","Automatic Evaluation of Attribution by Large Language Models","Understanding Retrieval Augmentation for Long-form Question Answering","The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations","MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents","Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output","RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models","FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation","VERISCORE: Evaluating the factuality of verifiable claims in long-form text generation","VeriFastScore: Speeding up long-form factuality evaluation","Long-form factuality in large language models","WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries","FELM: Benchmarking Factuality Evaluation of Large Language Models","WICE: Real-World Entailment for Claims in Wikipedia","Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors","LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation","A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains","Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization","LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA","Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models","DeepScholar-Bench: A Live Benchmark and Automated Evaluation for Generative Research Synthesis","DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents","LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild","How well do LLMs cite relevant medical references? An evaluation framework and analyses","RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models","PaperQA: Retrieval-Augmented Generative Agent for Scientific Research","Valsci: an open-source, self-hostable literature review utility for automated large-batch scientific claim verification using large language models","Attribute or Abstain: Large Language Models as Long Document Assistants","The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models","ChatGPT Hallucinates when Attributing Answers","Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models","Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics","WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research","OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs","A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions","Training Language Models to Generate Text with Citations via Fine-grained Rewards","When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"Can you find papers published at ACL or EMNLP between 2022 and 2024 that introduce benchmarks or evaluation datasets for large language models, where the benchmarks are specifically designed to evaluate long-context understanding or multi-document reasoning, and where the first author is affiliated with a university rather than an industry lab?","answer":["LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding","∞Bench: Extending Long Context Evaluation Beyond 100K Tokens","LongAlign: A Recipe for Long Context Alignment of Large Language Models"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I am developing a decision-support system for public health surveillance, but I want to ensure that the system’s recommendations are grounded in real epidemiological evidence rather than fabricated or outdated information. I am looking for public health research that proposes evaluation frameworks or benchmark datasets to assess data quality, evidence consistency, or reliability of surveillance and risk assessment models, where the evaluation requires validating model outputs against real-world public health data sources such as national disease surveillance systems, cohort studies, or official health statistics.","answer":["Impact of Primary Health Care Data Quality on Infectious Disease Surveillance in Brazil: Case Study","A methodological framework for the evaluation of syndromic surveillance systems: a case study of England","Real-world evidence from the first online healthcare analytics platform—Livingstone. Validation of its descriptive epidemiology module","Developing a Comprehensive Framework for Real-World Data Case Validation in Vaccine Safety Monitoring: The VAC4EU experience","Data quality assessment approaches for event-based surveillance systems","INSIGHT: A Tool for Fit-for-Purpose Evaluation and Quality Assessment of Standardized Observational Data Sources for Real World Evidence on Medicine and Vaccine Safety","Enhancing the accuracy and integrity of immunization registry data using scalable cloud-based validation frameworks","Population Health Metrics Research Consortium gold standard verbal autopsy validation study: design, implementation, and development of analysis datasets","Artificial Intelligence Based Models for Predicting Foodborne Pathogen Risk In Public Health Systems","A Standard Framework for Evaluating Large Health Care Data and Related Resources","Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group","Bio-ALIRT Biosurveillance Detection Algorithm Evaluation","A framework for evaluating epidemic forecasts","The Zoltar forecast archive, a tool to standardize and store interdisciplinary prediction research","The United States COVID-19 Forecast Hub dataset","Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States","Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations","A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States","Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016","Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations","Comparison of combination methods to create calibrated ensemble forecasts for seasonal influenza in the U.S","Evaluating infectious disease forecasts with allocation scoring rules","When are predictions useful? A new method for evaluating epidemic forecasts","The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance","Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future","A simulation study comparing aberration detection algorithms for syndromic surveillance","Quantifying the determinants of outbreak detection performance through simulation and machine learning","An indicator framework for the monitoring and evaluation of event-based surveillance systems","Evaluation of epidemic intelligence systems integrated in the early alerting and reporting project for the detection of A/H5N1 influenza events","Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis","An evaluation framework for comparing epidemic intelligence systems","Evaluation Challenges for Syndromic Surveillance --- Making Incremental Progress","Evaluation of Nowcasting for Detecting and Predicting Local Influenza Epidemics, Sweden, 2009–2014","Nowcasting (Short-Term Forecasting) of Influenza Epidemics in Local Settings, Sweden, 2008–2019","Nowcasting (Short-Term Forecasting) of COVID-19 Hospitalizations Using Syndromic Healthcare Data, Sweden, 2020","Nowcasting Influenza Incidence with CDC Web Traffic Data: A Demonstration Using a Novel Data Set","α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19","On the accuracy of short-term COVID-19 fatality forecasts","A systematic review and comparative evaluation to develop and validate a comprehensive framework for cancer surveillance systems","Large-scale calibration and simulation of COVID-19 epidemiologic scenarios to support healthcare planning","Unlocking the Potential of Public Datasets: Wastewater-Based Epidemiological Forecasting During COVID-19","Towards a Verification and Validation Framework for COVID-19 Forecast Models","The Certainty Framework for Assessing Real‐World Data in Studies of Medical Product Safety and Effectiveness","A real-world data validation of the value of early-stage SIR modelling to public health","Public health utility of cause of death data: applying empirical algorithms to improve data quality","Evaluating Model Performance in Medical Datasets Over Time","The Role of Surveillance Systems in the Early Detection and Response to Outbreaks of Emerging and Reemerging Infectious Diseases: A Comprehensive Review","Medical device surveillance with electronic health records","Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance","Precision information extraction for rare disease epidemiology at scale","GRADE Guidelines 30: the GRADE approach to assessing the certainty of modeled evidence—An overview in the context of health decision-making","Foundation time series models for forecasting and policy evaluation in infectious disease epidemics","Performance analysis of mathematical methods used to forecast the 2022 New York City Mpox outbreak","SEIR‐driven semantic integration framework: Internet of Things‐enhanced epidemiological surveillance in COVID‐19 outbreaks using recurrent neural networks","A survey of using EHR as real-world evidence for discovering and validating new drug indications","Using machine learning to predict disease outbreaks and enhance public health surveillance","AI for pandemic preparedness and infectious disease surveillance: predicting outbreaks, modeling transmission, and optimizing public health interventions","Real-World Data and Real-World Evidence in Healthcare in the United States and Europe Union","A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning–Based Risk Prediction Models","An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time","Dynamic prediction model to identify young children at high risk of future overweight: Development and internal validation in a cohort study","Artificial intelligence for modelling infectious disease epidemics","Is the SMART risk prediction model ready for real-world implementation? A validation study in a routine care setting of approximately 380 000 individuals","Benchmarking Large Language Models from Open and Closed Source Models to Apply Data Annotation for Free-Text Criteria in Healthcare"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"I am looking for peer-reviewed or authoritative public health publications published between 2015 and 2022 that explicitly propose evaluation frameworks or standardized guidelines for assessing the performance, data quality, or usefulness of public health surveillance systems. The work must focus on evaluation methodology rather than disease modeling, and be issued by recognized public health institutions or journals, such as the CDC, WHO, or American Journal of Public Health.","answer":["A methodological framework for the evaluation of syndromic surveillance systems: a case study of England","Evaluating Behavioral Health Surveillance Systems","Quality criteria for the evaluation of climate-informed early warning systems for infectious diseases","Early warning alert and response network in emergencies: evaluation protocol","Data quality review: module 1: framework and metrics","Data quality review: module 3: data verification and system assessment","Developing monitoring and evaluation tools for event-based surveillance: experience from Vietnam","National AMR surveillance systems and participation in the GLASS: a guide to planning, implementation, and monitoring and evaluation","International Health Regulations (2005): IHR monitoring and evaluation framework","Joint external evaluation tool: International Health Regulations (2005), 3rd ed","Joint external evaluation tool: International Health Regulations (2005), 2nd ed","Joint external evaluation tool: International Health Regulations","Integrated Disease Surveillance and Response Technical Guidelines, Booklet One: Introduction Section, 3rd ed","Data quality assessment of national and partner HIV treatment and patient monitoring data and systems implementation tool","Malaria surveillance, monitoring and evaluation: a reference manual","Development of a District-Level Programmatic Assessment Tool for Risk of Measles Virus Transmission","Surveillance systems to track progress towards polio eradication worldwide, 2015–2016– Systèmes de surveillance pour suivre les progress accomplis dans le monde vers l’éradication de la poliomyélite, 2015-2016","European external quality assessment programme for influenza virus – 2018","One Health Evaluation of Antimicrobial Use and Resistance Surveillance: A Novel Tool for Evaluating Integrated, One Health Antimicrobial Resistance and Antimicrobial Use Surveillance Programs","Evaluating the Integration of One Health in Surveillance Systems for Antimicrobial Use and Resistance: A Conceptual Framework","Strengthening surveillance of and response to foodborne diseases: a practical manual. Stage 2: strengthening indicator-based surveillance","Improving the quality and use of immunization and surveillance data: Summary report of the Working Group of the Strategic Advisory Group of Experts on Immunization"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Could you help me find the article about lithium-ion battery electrolyte additives that was published in an Elsevier journal?","answer":["Electrolyte additives for Li-ion batteries: classification by elements","(Pentafluorophenyl)diphenylphosphine as a dual-functional electrolyte additive for LiNi0.5Mn1.5O4 cathodes in high-voltage lithium-ion batteries"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Could you help find papers that design LLM-based code generation methods for Python programming tasks, but these methods do NOT rely on pre-trained code libraries. The evaluation should use HumanEval benchmark, but exclude papers that only adopt automatic evaluation metrics without human evaluation","answer":["Humanevalcomm: Benchmarking the communication competence of code generation for llms and llm agents","Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension","A survey on large language models for code generation","BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution","Codejudge: Evaluating code generation with large language models","Taskeval: Assessing difficulty of code generation tasks for large language models","The RealHumanEval: Evaluating Large Language Models’ Abilities to Support Programmers","LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation","Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding","The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers","Low-Cost Language Models: Survey and Performance Evaluation on Python Code Generation","DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence","ReCode: Robustness Evaluation of Code Generation Models","Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation","Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models","The Stack: 3 TB of permissively licensed source code","LLM-Assisted Code Cleaning For Training Accurate Code Generators","PyGen: A Collaborative Human-AI Approach to Python Package Creation","Refactoring Programs Using Large Language Models with Few-Shot Examples","PAL: Program-aided Language Models","Teaching Large Language Models to Self-Debug","Code Needs Comments: Enhancing Code LLMs with Comment Augmentation","Aligning Offline Metrics and Human Judgments of Value for Code Generation Models","Exploring the Potential of Offline LLMs in Data Science: A Study on Code Generation for Data Analysis"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Electrical Engineering"}}
{"question":"Please retrieve papers related to \"Application Progress and Future Prospects of Artificial Intelligence\n and Synthetic Biology in the Development of Antibiotic Alternatives\". Focus on the following specific technical directions: 1. Artificial Intelligence: machine learning for predicting antibacterial activity, computer-aided design of antimicrobial peptides; 2. Synthetic Biology: engineering strains to synthesize antibiotic alternative molecules, analysis of microbiota-metabolite-host interaction\n networks; 3. Also cover practical application progress in the development of antibiotic \nalternative products such as microecological preparations and antimicrobial peptides.","answer":["Computer-aided design of antimicrobial peptides: are we generating effective drug candidates?","Accelerating antibiotic discovery through artificial intelligence","A deep learning approach to antibiotic discovery","A machine learning tool to predict the antibacterial capacity of nanoparticles","The application of machine learning techniques to innovative antibacterial discovery and development","Generative AI for designing and validating easily synthesizable and structurally novel antibiotics","Antibiotic discovery in the artificial intelligence era","Hybrid Quorum Sensing and Machine Learning Systems for Precision Gene Regulation: Revolutionizing Synthetic Biology and Autonomous Therapeutic Applications","AI-Driven Antimicrobial Peptide Discovery: Mining and Generation","A generative artificial intelligence approach for the discovery of antimicrobial peptides against multidrug-resistant bacteria","Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model","Synthetic antimicrobial peptides: Combatting antimicrobial resistance for sustainable aquaculture","Synthesis and Evaluation of Aquatic Antimicrobial Peptides Derived from Marine Metagenomes Using a High-Throughput Screening Approach","Progress in the Identification and Design of Novel Antimicrobial Peptides Against Pathogenic Microorganisms","Accelerating antimicrobial peptide design: Leveraging deep learning for rapid discovery","Rational design of stapled antimicrobial peptides","Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep Learning","Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides","Rational Discovery of Antimicrobial Peptides by Means of Artificial Intelligence","Machine learning for antimicrobial peptide identification and design","SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification","AI Methods for Antimicrobial Peptides: Progress and Challenges","Discovery of novel antimicrobial peptides with notable antibacterial potency by a LLM-based foundation model","Machine Learning Empowering Microbial Cell Factory: A Comprehensive Review","How Machine Learning Helps in Combating Antimicrobial Resistance: A Review of AMP Analysis and Generation Methods","De Novo Antimicrobial Peptide Design with Feedback Generative Adversarial Networks","Artificial intelligence-driven antimicrobial peptide discovery","Advanced Strategies in Phage Research: Innovations, Applications, and Challenges","Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis","Modeling Antibacterial Activity with Machine Learning and Fusion of Chemical Structure Information with Microorganism Metabolic Networks","Advances in Artificially Designed Antibacterial Active Antimicrobial Peptides","Predicting antimicrobial activity of conjugated oligoelectrolyte molecules via machine learning"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Fisheries and Aquaculture"}}
{"question":"I am conducting cutting-edge interdisciplinary research under the background of \"reducing and \nreplacing antibiotics\", aiming to combine artificial intelligence and synthetic biology to break \nthrough bottlenecks in traditional antibiotic alternative development. However, I am unclear\n about the implementation difficulties and future trends of current technical routes. Could\n you recommend papers that review the application progress, technical bottlenecks, and\n future prospects of this field, especially those involving machine learning for predicting \nantibacterial activity and engineering strains to synthesize antibiotic alternative molecules?","answer":["Machine learning for antimicrobial peptide identification and design","Synthetic biology and computer-based frameworks for antimicrobial peptide discovery","Artificial intelligence-driven antimicrobial peptide discovery","Recent Advancements in AI-Assisted Drug Design and Discovery Systems","Deep learning tools to accelerate antibiotic discovery","AI-Driven Antimicrobial Peptide Discovery: Mining and Generation","A generative artificial intelligence approach for the discovery of antimicrobial peptides against multidrug-resistant bacteria","The convergence of AI and synthetic biology: the looming deluge","Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discovery","AI for antibiotic design","Harnessing Innovations in Antimicrobial Peptide Design: From AI-Driven Discovery to Precision Targeting Mechanisms","Advanced Strategies in Phage Research: Innovations, Applications, and Challenges","Synthetic antimicrobial peptides: Combatting antimicrobial resistance for sustainable aquaculture","Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep Learning","Progress and future of the computational design of antimicrobial peptides (AMPs): bio-inspired functional molecules","Artificial Intelligence and Antibiotic Discovery","Application of artificial intelligence in microbial drug discovery: Unlocking new frontiers in biotechnology","A Comprehensive Guide to Enhancing Antibiotic Discovery Using Machine Learning Derived Bio-computation","How Machine Learning Helps in Combating Antimicrobial Resistance: A Review of AMP Analysis and Generation Methods","Reviewing on AI‐Designed Antibiotic Targeting Drug‐Resistant Superbugs by Emphasizing Mechanisms of Action","AI Methods for Antimicrobial Peptides: Progress and Challenges","Next-Generation Wastewater Treatment: Omics and AI-Driven Microbial Strategies for Xenobiotic Bioremediation and Circular Resource Recovery","Microbiome Engineering to Enhance Disease Resistance in Aquaculture: Current Strategies and Future Directions","Accelerating antibiotic discovery through artificial intelligence","Understanding the Functionality of Probiotics on the Edge of Artificial Intelligence (AI) Era"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Fisheries and Aquaculture"}}
{"question":"Please retrieve review papers published between 2020 and 2025 in top journals related to \naquaculture, aquatic animal disease prevention and control, or microbiology, with the \ntheme of \"Application Progress and Future Prospects of Artificial Intelligence and \nSynthetic Biology in the Development of Antibiotic Alternatives\". These papers\n should focus on hot topics such as engineering modification of antimicrobial \npeptides, phage therapy, and nanodelivery systems.","answer":["Machine learning for antimicrobial peptide identification and design","Artificial intelligence-driven antimicrobial peptide discovery","Recent progress in the discovery and design of antimicrobial peptides using traditional machine learning and deep learning","Progress and future of the computational design of antimicrobial peptides (AMPs): bio-inspired functional molecules","Advances in antimicrobial peptide discovery via machine learning and delivery via nanotechnology","Deep learning in antimicrobial peptide prediction","Phage engineering using synthetic biology and artificial intelligence to enhance phage applications in food industry","Advanced Strategies in Phage Research: Innovations, Applications, and Challenges","Advances in the field of phage-based therapy with special emphasis on computational resources","Enhancing phage therapy through synthetic biology and genome engineering","AI Methods for Antimicrobial Peptides: Progress and Challenges","Synthetic antimicrobial peptides: Combatting antimicrobial resistance for sustainable aquaculture","Deep Learning for Novel Antimicrobial Peptide Design","Phage–nanomaterial platforms for precision antimicrobial therapy: from design to therapeutic application","Phage therapy: From biological mechanisms to future directions","Optimizing phage therapy with artificial intelligence: a perspective","Synthetic cells for phage therapy: a perspective","Antimicrobial peptides: An alternative to traditional antibiotics"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Fisheries and Aquaculture"}}
{"question":"Please retrieve papers related to \"Application Progress and Future Prospects of Artificial Intelligence and Synthetic Biology in the Development of Antibiotic Alternatives\" in the aquaculture field. Focus on the application of interdisciplinary technologies in natural antibiotic alternative products such as microecological preparations, antimicrobial peptides, or phages. Exclude studies that only discuss chemically synthesized alternatives, single technical directions (e.g., using only AI or only synthetic biology), as well as those focusing on livestock or human subjects.","answer":["Microbiome engineering to enhance disease resistance in aquaculture: current strategies and future directions","Synthesis and Evaluation of Aquatic Antimicrobial Peptides Derived from Marine Metagenomes Using a High-Throughput Screening Approach","Artificial intelligence-driven antimicrobial peptide discovery","Streptococcosis in aquaculture: Advances, challenges, and future directions in disease control and prevention","Beyond the Resistome: Molecular Insights, Emerging Therapies, and Environmental Drivers of Antibiotic Resistance","The Strategic Role of Biotechnology in Aquaculture: Integrating Upstream and Downstream Processes for Sustainable Fish Production","Artificial intelligence in microbiome research and beyond: connecting human health, animal husbandry, and aquaculture","Engineering the fish gut microbiome: could it serve as future-proof strategy for sustainable aquaculture?","Advanced strategies in phage research: innovations, applications, and challenges","Synthetic antimicrobial peptides: Combatting antimicrobial resistance for sustainable aquaculture","AI Methods for Antimicrobial Peptides: Progress and Challenges","Video-Driven Artificial Intelligence for Predictive Modelling of Antimicrobial Peptide Generation: Literature Review on Advances and Challenges","Unlocking Antimicrobial Peptides from Marine Invertebrates: A Comprehensive Review of Antimicrobial Discovery"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Fisheries and Aquaculture"}}
{"question":"I am using LNP to deliver DNA, but my current formulation isn't working. Please help me look for papers with established formulations.","answer":["The 60-year evolution of lipid nanoparticles for nucleic acid delivery","Nanodelivery of nucleic acids","Safer non-viral DNA delivery using lipid nanoparticles loaded with endogenous anti-inflammatory lipids","Improving the safety of lipid nanoparticle-based DNA delivery for extended gene expression","Multi-step screening of DNA/lipid nanoparticles and co-delivery with siRNA to enhance and prolong gene expression","Structuring lipid nanoparticles, DNA, and protein corona into stealth bionanoarchitectures for in vivo gene delivery","Nanoparticle-based DNA vaccine protects against SARS-CoV-2 variants in female preclinical models","Lipid Nanoparticle Formulation Increases Efficiency of DNA-Vectored Vaccines/Immunoprophylaxis in Animals Including Transchromosomic Bovines","Optimal self-assembly of lipid nanoparticles (LNP) in a ring micromixer","Lipid nanoparticle-mediated efficient delivery of CRISPR/Cas9 for tumor therapy","Role of liposome and peptide in the synergistic enhancement of transfection with a lipopolyplex vector","Novel Nanosomes for Gene Delivery to Plasmodium falciparum-infected Red Blood Cells"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Biology and Biochemistry"}}
{"question":"Please help me find articles in the Molecular Therapy series journal about the treatment of hemophilia A.","answer":["Clinical immunogenicity outcomes from GENEr8-1, a phase 3 study of valoctocogene roxaparvovec, an AAV5-vectored gene therapy for hemophilia A","Early Phase Clinical Immunogenicity of Valoctocogene Roxaparvovec, an AAV5-Mediated Gene Therapy for Hemophilia A","Gene Therapy with BMN 270 Results in Therapeutic Levels of FVIII in Mice and Primates and Normalization of Bleeding in Hemophilic Mice","Preclinical assessment of an optimized AAV-FVIII vector in mice and non-human primates for the treatment of hemophilia A","Treatment of Hemophilia A Using Factor VIII Messenger RNA Lipid Nanoparticles","Bioengineered coagulation factor VIII enables long-term correction of murine hemophilia A following liver-directed adeno-associated viral vector delivery","The impact of minimally oversized adeno-associated viral vectors encoding human factor VIII on vector potency in vivo","Overexpression of factor VIII after AAV delivery is transiently associated with cellular stress in hemophilia A mice","Potential for cellular stress response to hepatic factor VIII expression from AAV vector","Sustained FVIII expression and phenotypic correction of hemophilia A in neonatal mice using an endothelial-targeted sleeping beauty transposon","Correction of the coagulation defect in hemophilia A mice through factor VIII expression in skin","Intraosseous delivery of lentiviral vectors targeting factor VIII expression in platelets corrects murine hemophilia A"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Biology and Biochemistry"}}
{"question":"I'm developing a thermal energy storage system for concentrated solar power plants that needs to operate efficiently in desert environments with extreme temperature fluctuations (daily swings of 40°C+). Current molten salt systems we tested suffer from solidification issues during cold nights and thermal shock degradation. I need papers that address phase change material stability under cyclic thermal stress specifically for CSP applications, with solutions that maintain at least 90% storage efficiency after 1000+ cycles, published after 2020.","answer":["Assessing Mg84Cu16 as a novel PCM for high-temperature energy storage: Focus on thermal stability and material compatibility","A review of the performance and application of molten salt-based phase change materials in sustainable thermal energy storage at medium and high temperatures","High-temperature composite phase change material with “concrete-like” strength even beyond the eutectic temperature","Preparation of Al–Si microcapsules with high latent heat and durability via control of shell thickness","Innovative optimization of insulation for high-temperature thermal energy storage in generation 3 CSP systems using phase change materials (PCMs)","A technical and economic comparison between concrete and latent thermal energy storage for concentrated solar power applications","Thermal Expansion Challenges and Solution Strategies for Phase Change Material Encapsulation: A Comprehensive Review","Machine learning model for transient exergy performance of a phase change material integrated-concentrated solar thermoelectric generator","Towards resilient operation of photovoltaic-thermal collector with incorporated organic phase change material: Numerical and experimental investigation","Development Energy System of Iraq Harnessing the Power of Molten Salt by CSP Plant With Thermal Storage Energy"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Engineering Thermophysics"}}
{"question":"Find papers on waste heat recovery systems for industrial processes that achieve over 40% thermal efficiency, utilize organic Rankine cycles or Kalina cycles, but explicitly NOT using water/steam as the working fluid, must include economic analysis with payback period under 5 years, published between 2021 and October 2024.","answer":["Thermo-economic performance limit analysis of combined heat and power systems for optimal working fluid selections","Optimizing waste heat recovery with organic Rankine cycles: A novel graphical approach based on Exergy-Enthalpy diagrams","Waste Heat Recovery Technologies on Optimized CHP-BESS Plant: A Performance Comparison Between Organic Rankine Cycle and H2O-NH3 Absorption Plant","Comparative analysis of organic rankine cycle, Kalina cycle and thermoelectric generator to recover waste heat based on energy, exergy, economic and environmental analysis method","Techno-Economic Optimization of a Low-Temperature Organic Rankine System Driven by Multiple Heat Sources","Thermodynamic and economic analysis of a Kalina cycle-based combined heating and power system for low-temperature heat source utilization","Potential of Organic Rankine Cycle for waste heat recovery from piston engine-based power plants in isolated power systems","Parametric study and techno-economic analysis of a novel integration between thermoelectric generator and organic Rankine cycle onboard passenger ship","Technical and economic assessment of ORC and cogeneration including a combined variant – A case study for the Polish automotive fastener industry company","Energy, exergy analysis in a hybrid power and hydrogen production system using biomass and organic Rankine cycle","Multi-Objective Optimization of an Organic Rankine Cycle (ORC) for a Hybrid Solar–Waste Energy Plant","A techno-economic survey on high- to low-temperature waste heat recovery cycles for UK glass sector","Comparative Exergy Analysis of Series and Parallel Dual-Pressure Auto-Cascade Organic Rankine Cycles","Integration of district heating systems with small modular reactors and organic Rankine cycle including energy storage: Design and energy management optimization"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Engineering Thermophysics"}}
{"question":"I am a researcher studying mechanisms of cancer immune evasion. I have observed that in some tumors treated with PD-1/PD-L1 inhibitors, there is an upregulation of alternative immune checkpoints (such as LAG-3, TIGIT, or TIM-3) on tumor-infiltrating lymphocytes, which may contribute to acquired resistance. I need to find experimental research papers (not reviews) that provide direct in vivo or in vitro evidence demonstrating that the co-blockade of PD-1/PD-L1 with one of these alternative checkpoints can overcome resistance and enhance anti-tumor efficacy. The models should preferably involve syngeneic mouse models or patient-derived organoids. Please focus on papers published between 2021 and 2024.","answer":["A novel anti-LAG-3/TIGIT bispecific antibody exhibits potent anti-tumor efficacy in mouse models as monotherapy or in combination with PD-1 antibody","Anti-TIGIT antibody improves PD-L1 blockade through myeloid and Treg cells","Dual targeting of TIGIT and PD-1 with a novel small molecule for cancer immunotherapy","TIGIT/CD155 blockade enhances anti-PD-L1 therapy in head and neck squamous cell carcinoma by targeting myeloid-derived suppressor cells","PD-L1/LAG-3 bispecific antibody enhances tumor-specific immunity","Mechanistic convergence of the TIGIT and PD-1 inhibitory pathways necessitates co-blockade to optimize anti-tumor CD8+ T cell responses","The search for an interesting partner to combine with PD-L1 blockade in mesothelioma: focus on TIM-3 and LAG-3","High plus low dose radiation strategy in combination with TIGIT and PD1 blockade to promote systemic antitumor responses","TIGIT and PD-L1 co-blockade promotes clonal expansion of multipotent, non-exhausted antitumor T cells by facilitating co-stimulation","Simultaneous Genetic Ablation of PD-1, LAG-3, and TIM-3 in CD8 T Cells Delays Tumor Growth and Improves Survival Outcome","Combination TIGIT/PD-1 blockade enhances the efficacy of neoantigen vaccines in a model of pancreatic cancer","Development of a bispecific antibody targeting PD-L1 and TIGIT with optimal cytotoxicity","Sequential administration of anti-PD-1 and anti-Tim-3 combined with an SA-GM-CSF-anchored vaccine overcomes adaptive immune resistance to reject established bladder cancer","Single-cell RNA sequencing reveals anti-tumor potency of CD56+ NK cells and CD8+ T cells in humanized mice via PD-1 and TIGIT co-targeting","PD-1 and LAG-3 blockade improve anti-tumor vaccine efficacy","Combined Blockade of TIGIT and PD-L1 Enhances Anti-Neuroblastoma Efficacy of GD2-Directed Immunotherapy with Dinutuximab Beta","COM902, a novel therapeutic antibody targeting TIGIT augments anti-tumor T cell function in combination with PVRIG or PD-1 pathway blockade","Co-blocking TIGIT and PVRIG Using a Novel Bispecific Antibody Enhances Antitumor Immunity"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Please help me find clinical trial research papers that evaluate the combination therapy of a CDK4/6 inhibitor (such as Palbociclib, Ribociclib, or Abemaciclib) with endocrine therapy as the first-line treatment for hormone receptor-positive (HR+), HER2-negative advanced breast cancer in postmenopausal women. The papers must be published in the journals The New England Journal of Medicine, The Lancet, or JAMA Oncology between 2020 and 2024.","answer":["Overall Survival with Ribociclib plus Letrozole in Advanced Breast Cancer","Overall Survival with Ribociclib plus Fulvestrant in Advanced Breast Cancer","Fulvestrant-Palbociclib vs Letrozole-Palbociclib as Initial Therapy for Endocrine-Sensitive, Hormone Receptor–Positive, ERBB2-Negative Advanced Breast Cancer: A Randomized Clinical Trial"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"I am working on world-model-based data generation for autonomous driving.However, when generating long-horizon, high-frame-rate videos, GPU memory usage becomes a major bottleneck and often leads to out-of-memory errors.Could you recommend papers that propose techniques to reduce memory consumption during long video or sequence generation without significantly degrading generation quality, such as through model architecture design, temporal decomposition, latent-space modeling, or memory-efficient training and inference strategies?","answer":["Ltx-video: Realtime video latent diffusion","Video probabilistic diffusion models in projected latent space","Latent video diffusion models for high-fidelity long video generation","Drama: Mamba-enabled model-based reinforcement learning is sample and parameter efficient","Drivedreamer: Towards real-world-drive world models for autonomous driving","Slowfast-vgen: Slow-fast learning for action-driven long video generation","LongLive: Real-time Interactive Long Video Generation","MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation","InfinityDrive: Breaking Time Limits in Driving World Models","Video World Models with Long-term Spatial Memory","WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception","Packing Input Frame Context in Next-Frame Prediction Models for Video Generation","StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text","Video-Infinity: Distributed Long Video Generation","Towards Chunk-Wise Generation for Long Videos","VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional Information Assumption","Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction","LoViC: Efficient Long Video Generation with Context Compression","Mixture of Contexts for Long Video Generation","TokensGen: Harnessing Condensed Tokens for Long Video Generation","Pack and Force Your Memory: Long-form and Consistent Video Generation","MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation","Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models","Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers","Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation","DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training","SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention","Attention Surgery: An Efficient Recipe to Linearize Your Video Diffusion Transformer","LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation","VidToMe: Video Token Merging for Zero-Shot Video Editing","Phenaki: Variable Length Video Generation From Open Domain Textual Description","Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing","Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity","VSA: Faster Video Diffusion with Trainable Sparse Attention","Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile","Training-free and Adaptive Sparse Attention for Efficient Long Video Generation","Long-Context State-Space Video World Models","SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces","Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers","Autoregressive Video Generation without Vector Quantization","From Slow Bidirectional to Fast Autoregressive Video Diffusion Models","MAGI-1: Autoregressive Video Generation at Scale","Real-Time Video Generation with Pyramid Attention Broadcast","Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation","NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation","MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I’m working on autonomous driving scene reconstruction and street-level 3D/4D representation learning. I’m particularly interested in papers published in 2025 by Sida Peng (Zhejiang University) that propose methods for reconstructing or modeling driving scenes (e.g., street scenes, dynamic scenes, novel-view synthesis, 3D/4D reconstruction) from multi-view images and/or video sequences. Could you recommend and list his relevant 2025 works, prioritizing those evaluated on autonomous driving datasets (e.g., Waymo, KITTI) or realistic street-scene benchmarks?","answer":["Hierarchy UGP: Hierarchy Unified Gaussian Primitive for Large-Scale Dynamic Scene Reconstruction","StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models","ADGaussian: Generalizable Gaussian Splatting for Autonomous Driving with Multi-modal Inputs","Multi-view Reconstruction via SfM-guided Monocular Depth Estimation","LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Could you help me find original, non-review research papers in the main Science journal that report scientific discoveries using liquid-cell transmission electron microscopy as a primary research tool?","answer":["Imaging rotational dynamics of nanoparticles in liquid by 4D electron microscopy","High-resolution EM of colloidal nanocrystal growth using graphene liquid cells","3D structure of individual nanocrystals in solution by electron microscopy","Critical differences in 3D atomic structure of individual ligand-protected nanocrystals in solution","Single-particle mapping of nonequilibrium nanocrystal transformations","Facet development during platinum nanocube growth","In situ TEM imaging of CaCO3 nucleation reveals coexistence of direct and indirect pathways","Observation of Single Colloidal Platinum Nanocrystal Growth Trajectories","Real-Time Imaging of Pt3Fe Nanorod Growth in Solution","Direction-Specific Interactions Control Crystal Growth by Oriented Attachment","Dissolution enables dolomite crystal growth near ambient conditions"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Physics"}}
{"question":"Could you help me find research articles in the main Science journal that apply ultrafast transmission electron microscopy to study physical or chemical processes, excluding all studies focused on biological systems such as proteins, DNA, or cellular structures?","answer":["Imaging rotational dynamics of nanoparticles in liquid by 4D electron microscopy","Dynamics of chemical bonding mapped by energy-resolved 4D electron microscopy","4D nanoscale diffraction observed by convergent-beam ultrafast electron microscopy","4D imaging of transient structures and morphologies in ultrafast electron microscopy","4D electron tomography","Subparticle ultrafast spectrum imaging in 4D electron microscopy","Ultrafast Electron Crystallography of Interfacial Water","Observing liquid flow in nanotubes by 4D electron microscopy "],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Physics"}}
{"question":"How can sensor fusion and deep learning techniques enhance perception systems in autonomous vehicles under adverse weather conditions (e.g., heavy rain, snow, fog), with peer-reviewed publications","answer":["Deep camera–radar fusion with an attention framework for autonomous vehicle vision in foggy weather conditions","Object detection in adverse weather for autonomous vehicles based on sensor fusion and incremental learning","Improving Autonomous Vehicle Cognitive Robustness in Extreme Weather with Deep Learning and Thermal Camera Fusion","Autonomous vehicle driving in harsh weather: Adaptive fusion alignment modeling and analysis","Camera–Lidar sensor fusion for drivable area detection in winter weather using convolutional neural networks","Perception and Sensing for Autonomous Vehicles Under Adverse Weather Conditions: A Survey","Enhancing Autonomous Vehicle Perception in Adverse Weather: A Multi Objectives Model for Integrated Weather Classification and Object Detection"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"list machine learning applications in medical diagnostics published in Nature Medicine by MIT researchers","answer":["A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories","Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary","Large-scale pancreatic cancer detection via non-contrast CT and deep learning","A visual-language foundation model for computational pathology"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I am currently conducting research on the role of palmitoylation in renal ischemia-reperfusion. However, most studies on post-translational modifications of proteins in renal ischemia-reperfusion injury focus on modifications such as ubiquitination and phosphorylation. Could you recommend some papers that include palmitoylation that occurs under the condition of renal ischemia-reperfusion injury?","answer":["Palmitoyltransferase DHHC9 and acyl protein thioesterase APT1 modulate renal fibrosis through regulating β-catenin palmitoylation","Identification of biomarkers and mechanisms associated with palmitoylation in acute kidney injury using transcriptome and single cell data","DHHC21 deficiency attenuates renal dysfunction during septic injury","Enzymatic post-translational modifications of proteins in chronic kidney disease: mechanisms, regulation, and clinical significance","Lipid-Modified Bilirubin Nanocrystals for the Repair of Ischemia-Reperfusion-Induced Acute Kidney Injury","Alleviation of ischemia-reperfusion induced renal injury by chemically modified SOD2 mRNA delivered via lipid nanoparticles","DHHC6-Mediated SDHB Palmitoylation Protects against Tubular Cell Death and AKI","DHHC15 and APT2-Regulated S-Palmitoylation of Hsp90α Promotes Hypoxia-Inducible Factor (HIF)-1α Stabilization in Tubular Epithelial Cells and Renal Fibrosis"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Could you help me find the academic paper retrieval evaluation benchmark that can be retrieved in Pubmed and Web of Science?","answer":["Large expert-curated database for benchmarking document similarity detection in biomedical literature search","Searching for scientific evidence in a pandemic: An overview of TREC-COVID","TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19","A large-scale dataset of patient summaries for retrieval-based clinical decision support systems","BioASQ-QA: A manually curated corpus for Biomedical Question Answering","An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition","Literature search sandbox: a large language model that generates search queries for systematic reviews","Automatic identification of high impact articles in PubMed to support clinical decision making","Clinical trial search: Using biomedical language understanding models for re-ranking","MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval","A comparative evaluation of biomedical similar article recommendation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Currently, I am writing a review paper on the self-assembly mechanism in solid-state batteries and need to find articles focusing on the self-assembly mechanism. The issue I'm facing is that most self-assembly-related articles only briefly describe the assembly mechanism without detailed explanations of their specific mechanisms. I would like to identify articles where self-assembly plays a significant role in the abstract and provides a thorough explanation of the assembly mechanism. The articles should be of high quality (preferably from a sub-journal), published within the last decade, and primarily focused on solid-state batteries","answer":["Self-assembled hydrated copper coordination compounds as ionic conductors for room temperature solid-state batteries","Accumulation of Glassy Poly(ethylene oxide) Anchored in a Covalent Organic Framework as a Solid-State Li+ Electrolyte","Nanostructured block polymer electrolytes: tailoring self-assembly to unlock the potential in lithium-ion batteries","Self‐Assembled Solid‐State Gel Catholyte Combating Iodide Diffusion and Self‐Discharge for a Stable Flexible Aqueous Zn–I2 Battery","High-performance Na3V2 (PO4) 2F2. 5O0. 5 cathode: Hybrid reaction mechanism study via ex-situ XRD and sodium storage properties in solid-state batteries","Self-assembled materials for electrochemical energy storage","Supramolecular self-assembly of methylated rotaxanes for solid polymer electrolyte application","Synthesis and self-assembly of bottlebrush block copolymer electrolytes for solid-state supercapacitors","Reversible self-assembly of small molecules for recyclable solid-state battery electrolytes","Autonomous ion-highways quasi-solid electrolytes toward high-voltage lithium metal batteries","Self-assembled silica-cellulose-ether ternary nanocomposite electrolytes for robust quasi-solid-state lithium metal batteries","Self assembled electron blocking and lithiophilic interface towards dendrite-free solid-state lithium battery","Self-Assembled Ion Transport Channels in Block Copolymer Electrolytes for Dendrite-Free All-Solid-State Sodium Batteries","An Ambient Temperature Electrolyte with Superior Lithium Ion Conductivity based on a Self-Assembled Block Copolymer","Self-assembly synthesis of solid polymer electrolyte with carbonate terminated poly(ethylene glycol) matrix and its application for solid state lithium battery","Self-Assembled Polymeric Ionic Liquid-Functionalized Cellulose Nano-crystals: Constructing 3D Ion-conducting Channels Within Ionic Liquid-based Composite Polymer Electrolytes","Self-assembly formation of solid-electrolyte interphase in gel polymer electrolytes for high performance lithium metal batteries","Interfacial Reconstruction Unlocks Inherent Ionic Conductivity of Li‐La‐Zr‐Ta‐O Garnet in Organic Polymer Electrolyte for Durable Room‐Temperature All‐Solid‐State Batteries","Surface‐Confined Disordered Hydrogen Bonds Enable Efficient Lithium Transport in All‐Solid‐State PEO‐Based Lithium Battery","Improving thermal conduction across cathode/electrolyte interfaces in solid-state lithium-ion batteries by hierarchical hydrogen-bond network","Solid-state rigid-rod polymer composite electrolytes with nanocrystalline lithium ion pathways","Ultra-stable all-solid-state sodium metal batteries enabled by perfluoropolyether-based electrolytes","Stable ion transport enabled by self-supported membranes with direct interfacial driving effect for lithium metal batteries","3D lithiophilic framework fixed on the surface of LLZTO solid electrolyte shaping the contact between Li metal and ceramic","Molecular Engineering Toward Robust Solid Electrolyte Interphase for Lithium Metal Batteries","Self-Assembled Monolayers for Batteries","A Li–Li4Ti5O12 Composite Anode for Reducing Interfacial Resistance of Solid‐State Batteries","Self‐Assembled Molecular Layers as Interfacial Engineering Nanomaterials in Rechargeable Battery Applications"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"I would like to find an article by Professor Zhang Qiang from the School of Materials Science at Tsinghua University in Nature, with a time limit of 2021-2025","answer":["Tailoring polymer electrolyte solvation for 600 Wh kg−1 lithium batteries","Analytical noncovalent electrochemistry for battery engineering","Phase equilibrium thermodynamics of lithium–sulfur batteries","Stereoisomerism of multi-functional electrolyte additives for initially anodeless aqueous zinc metal batteries"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Our study aims to elucidate the precise activation mechanism of NLRP3 within the inflammasome complex. However, the current evidence remains inconclusive regarding the specific molecular events triggering NLRP3 activation. Could you suggest key literature addressing the regulatory pathways governing NLRP3 activation?","answer":["The NLRP3 inflammasome: activation and regulation","Clustering of NLRP3 induced by membrane or protein scaffolds promotes inflammasome assembly","Signal-induced NLRP3 phase separation initiates inflammasome activation","Updated insights into the molecular networks for NLRP3 inflammasome activation","Molecular mechanisms and regulation of inflammasome activation and signaling: sensing of pathogens and damage molecular patterns","Diverse functions of NLRP3 inflammasome in PANoptosis and diseases","PtdIns4P on dispersed trans-Golgi network mediates NLRP3 inflammasome activation","Structural basis for the oligomerization-facilitated NLRP3 activation","Cryo-EM structures of the active NLRP3 inflammasome disc","Structure of the NLRP3 decamer bound to the cytokine release inhibitor CRID3","Structural mechanism for NEK7-licensed activation of NLRP3 inflammasome","NEK7 is an essential mediator of NLRP3 activation downstream of potassium efflux","Protein kinase D at the Golgi controls NLRP3 inflammasome activation","Distinct changes in endosomal composition promote NLRP3 inflammasome activation","NLRP3 Phosphorylation Is an Essential Priming Event for Inflammasome Activation","NLRP3 phosphorylation in its LRR domain critically regulates inflammasome assembly","GSK3β mediates the spatiotemporal dynamics of NLRP3 inflammasome activation","Acetylation is required for full activation of the NLRP3 inflammasome","ZDHHC5-mediated NLRP3 palmitoylation promotes NLRP3-NEK7 interaction and inflammasome activation","AKT Regulates NLRP3 Inflammasome Activation by Phosphorylating NLRP3 Serine 5","BTK operates a phospho-tyrosine switch to regulate NLRP3 inflammasome activity","S-acylation of NLRP3 provides a nigericin sensitive gating mechanism that controls access to the Golgi","Pathogenic NLRP3 mutants form constitutively active inflammasomes resulting in immune-metabolic limitation of IL-1β production","Mechanisms of NLRP3 activation and inhibition elucidated by functional analysis of disease-associated variants","NLRP3 activation and mitosis are mutually exclusive events coordinated by NEK7, a new inflammasome component","IKKβ primes inflammasome formation by recruiting NLRP3 to the trans-Golgi network","IKKβ is required for the formation of the NLRP3 inflammasome","NLRP3 and Beyond: Inflammasomes as Central Cellular Hub and Emerging Therapeutic Target in Inflammation and Disease","An update on the regulatory mechanisms of NLRP3 inflammasome activation","The impact of post-translational modifications and subcellular localization on NLRP3 inflammasome activation: A systematic review","The mechanism of NLRP3 inflammasome activation and its pharmacological inhibitors","Cryo-EM structures of the active NLRP3 inflammasome disk","Structural Mechanisms of NLRP3 Inflammasome Assembly and Activation","The linear ubiquitin assembly complex (LUBAC) is essential for NLRP3 inflammasome activation","Oxidized Mitochondrial DNA Activates the NLRP3 Inflammasome during Apoptosis","UAF1 deubiquitinase complexes facilitate NLRP3 inflammasome activation by promoting NLRP3 expression","Priming of NLRP3 inflammasome activation by Msn kinase MINK1 in macrophages","K + Efflux-Independent NLRP3 Inflammasome Activation by Small Molecules Targeting Mitochondria","TRPV1 channel mediates NLRP3 inflammasome-dependent neuroinflammation in microglia","E-selectin-mediated rapid NLRP3 inflammasome activation regulates S100A8/S100A9 release from neutrophils via transient gasdermin D pore formation","The complement membrane attack complex triggers intracellular Ca2+ fluxes leading to NLRP3 inflammasome activation","Angiotensin II Triggers NLRP3 Inflammasome Activation by a Ca2+ Signaling-Dependent Pathway in Rat Cardiac Fibroblast Ang-II by a Ca2+-Dependent Mechanism Triggers NLRP3 Inflammasome in CF","Cutting Edge: NF-κB Activating Pattern Recognition and Cytokine Receptors License NLRP3 Inflammasome Activation by Regulating NLRP3 Expression","Peli1 facilitates NLRP3 inflammasome activation by mediating ASC ubiquitination","A ZFYVE21-Rubicon-RNF34 signaling complex promotes endosome-associated inflammasome activity in endothelial cells","The NLRP3 inflammasome: molecular activation and regulation to therapeutics","Regulation of the NLRP3 Inflammasome by Post-Translational Modifications and Small Molecules","How location and cellular signaling combine to activate the NLRP3 inflammasome","Defective mitochondrial fission augments NLRP3 inflammasome activation","Chloride sensing by WNK1 regulates NLRP3 inflammasome activation and pyroptosis","Inflammasome Meets Centrosome: Understanding the Emerging Role of Centrosome in Controlling Inflammasome Activation","The expanding role of the NLRP3 inflammasome from periodic fevers to therapeutic targets","The Role of Post-Translational Modifications in Regulation of NLRP3 Inflammasome Activation","Structure, Activation and Regulation of NLRP3 and AIM2 Inflammasomes","The Signaling Pathways Regulating NLRP3 Inflammasome Activation","Priming Is Dispensable for NLRP3 Inflammasome Activation in Human Monocytes In Vitro","The NLRP3 Inflammasome: An Overview of Mechanisms of Activation and Regulation","Paclitaxel Enhances the Innate Immunity by Promoting NLRP3 Inflammasome Activation in Macrophages","Regulation of the NLRP3 inflammasome by autophagy and mitophagy","TRAF6-TAK1-IKKβ pathway mediates TLR2 agonists activating “one-step” NLRP3 inflammasome in human monocytes"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Cell Biology"}}
{"question":"Can you help me retrieve all the literature by Shao Feng on pyroptosis in the journals Nature and Cell?","answer":["Cleavage of GSDMD by inflammatory caspases determines pyroptotic cell death","Pore-forming activity and structural autoinhibition of the gasdermin family","Inflammatory caspases are innate immune receptors for intracellular LPS","Structural Mechanism for GSDMD Targeting by Autoprocessed Caspases in Pyroptosis","Shigella evades pyroptosis by arginine ADP-riboxanation of caspase-11","SnapShot: The Noncanonical Inflammasome","Chemotherapy drugs induce pyroptosis through caspase-3 cleavage of a gasdermin","A bioorthogonal system reveals antitumour immune function of pyroptosis","Type III interferons induce pyroptosis in gut epithelial cells and impair mucosal repair","Recognition and maturation of IL-18 by caspase-4 noncanonical inflammasome","Brain endothelial GSDMD activation mediates inflammatory BBB breakdown","Structural mechanisms for regulation of GSDMB pore-forming activity","NINJ1 regulates plasma membrane fragility under mechanical strain"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Cell Biology"}}
{"question":"Could you help me find meta-analytic or systematic review papers published between 2023 and 2024 that investigate the relationship between autonomy-supportive environments and positive academic or psychological learning outcomes in students?","answer":["Need Support and Need Thwarting: A Meta-Analysis of Autonomy, Competence, and Relatedness Supportive and Thwarting Behaviors in Student Populations","Disentangling autonomy-supportive and psychologically controlling parenting: A meta-analysis of self-determination theory's dual process model across cultures","A meta-analytic review of the relationships between autonomy support and positive learning outcomes"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Psychology"}}
{"question":"I am looking for research articles discussing the impact of parental involvement on children's motivation and engagement in second language (L2) learning. Please focus on primary or secondary school students and exclude any studies that are restricted to preschool or early childhood education levels.","answer":["Relationship between learners’ L2 Motivational Self System and parental investment behavior in learners’ English learning","The relationship between parent–child communication and English academic engagement among middle school students: a moderated mediation model","Young Learners’ Perceptions of How Their Teachers, Peers, and Parents Impact Their EFL Motivation and Task Engagement: A SEM Study","Learning a Foreign Language under the Influence of Parents: Parental Involvement and Children’s English Learning Motivational Profiles","Demystifying the relationship between parental investment in learners’ English learning and learners’ L2 motivational self system in the Chinese context: A Bourdieusian capital perspective","Current L2 self-concept of Finnish comprehensive school students: The role of grades, parents, peers, and society","THE PARENTS’ ROLE IN MOTIVATING STUDENTS TO LEARN ENGLISH AS A FOREIGN LANGUAGE AT SCHOOL OF COASTAL AREA IN INDONESIA","Parental Involvement and Students’ Motivation in Learning English","Shanghai pupils' motivation towards learning English and the perceived influence of important others","An examination of perceptions of parental influence on attitudes to language learning","The Relationship Between Motivation and Perceived Parental Encouragement for Learning English as a Foreign Language with English Achievement of Grades 6 to 8 Students at St. John’s Private School, Pathein, Myanmar","A Correlational – Comparative Study of Motivation and Perceived Parental Encouragement for Learning English as a Foreign Language of Grades 10 and 11 Students at Maija Yang High School, Kachin State, Myanmar","A CORRELATIONAL–COMPARATIVE STUDY OF MOTIVATION AND PERCEIVED PARENTAL ENCOURAGEMENT FOR LEARNING CHINESE AS A FOREIGN LANGUAGE OF GRADES 5 AND 6 STUDENTS AT KHLONG TOEI WITTAYA SCHOOL, BANGKOK, THAILAND","Parental involvement and children's L2 learning motivation and engagement: A person-centered approach","Learning a Foreign Language under the Influence of Parents: Parental Involvement and Children's English Learning Motivational Profiles","Relationship between learners' L2 Motivational Self System and parental investment behavior in learners' English learning","Demystifying the relationship between parental investment in learners' English learning and learners' L2 motivational self system in the Chinese context: A Bourdieusian capital perspective","Exploring L2 Engagement: A Large-Scale Survey of Secondary School Students","Cross-grade analysis of Chinese students’ English learning motivation: a mixed-methods study","The Associations of Parental Support with First-Grade Primary School L2 Chinese Learners' Ideal Selves, Motivation, Engagement, and Reading Test Performance in Hong Kong: A Person-Centered Approach","Ideal L2 self, acculturation, and Chinese language learning among South Asian students in Hong Kong: A structural equation modelling analysis","Parental strategies in supporting Chinese children’s learning of English vocabulary","South Asian students’ Chinese language learning in Hong Kong: motivations and strategies","Young learners' academic self-concepts for L2/L3 French and English","Uncovering principal factors influencing english performance in Chinese middle school students: a statistical and machine learning approach","Exploring English self-concept and investment of successful EFL learners from a Chinese secondary school","Class Habitus: Middle-Class Chinese Immigrant Parents' Investment in Their Newcomer Adolescents' L2 Acquisition and Social Integration","Examining the role of significant others in Vietnamese high school EFL students' motivational constructions","Linguistic, affective, parental, and educational contributions to the bicultural identity development of Balkan minority adolescents"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Other","subsubject":"Psychology"}}
{"question":"Please help me find papers published before Nov 1, 2025 that compare minimally invasive surgery (MIS) versus conventional open surgery for adult degenerative scoliosis (ADS), and that provide deformity-severity stratified outcomes suitable for building an individualized treatment algorithm. The eligible MIS approaches must include lateral lumbar interbody fusion (LLIF/XLIF/OLIF) and/or MIS-TLIF with percutaneous pedicle screw fixation, compared against open posterior fusion/deformity correction. The studies must involve adults (typically >40 years) with degenerative scoliosis (coronal Cobb angle >10 degrees) affecting at least 2 spinal segments and performed with deformity correction intent (not decompression-only). They must report (a) at least one patient-reported outcome (ODI and/or VAS), (b) radiographic sagittal alignment parameters (PI–LL mismatch and/or sagittal vertical axis, and optionally Cobb angle), and (c) complications and/or reoperation rates. Severity stratification should primarily use sagittal modifiers (PI–LL thresholds such as <10, 10–20, >20 degrees; and/or SVA thresholds such as <5 cm, 5–8 cm, >8 cm), with coronal Cobb-based strata (e.g., <30, 30–40, >40 degrees) accepted as secondary. Exclude studies of decompression without fusion and exclude complex combined anterior–lateral multi-approach “hybrid” MIS constructs.","answer":["Comparison of lateral lumbar interbody fusion (LLIF) with open versus percutaneous screw fixation for adult degenerative scoliosis","Patient outcomes after circumferential minimally invasive surgery compared with those of open correction for adult spinal deformity: initial analysis of prospectively collected data","Treatment of the Fractional Curve of Adult Scoliosis With Circumferential Minimally Invasive Surgery Versus Traditional, Open Surgery: An Analysis of Surgical Outcomes","Cost minimization in treatment of adult degenerative scoliosis","Minimally Invasive Surgery for Mild-to-Moderate Adult Spinal Deformities: Impact on Intensive Care Unit and Hospital Stay","Minimally invasive LLIF surgery to decrease the occurrence of adjacent-segment disease compared to conventional open TLIF","Does MIS Surgery Allow for Shorter Constructs in the Surgical Treatment of Adult Spinal Deformity?","Outcomes of Oblique Lateral Interbody Fusion for Adult Spinal Deformity: A Systematic Review and Meta-Analysis","The minimally invasive spinal deformity surgery algorithm: a reproducible rational framework for decision making in minimally invasive spinal deformity surgery","Adult Spinal Deformity in the Elderly. Preliminary Clinical and Radiological Results in 22 Patients Treated by a Two Times Minimally Invasive Spine Surgery"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"I’m looking for papers (published before Nov 1, 2025) that compare vertebroplasty (PV) and/or balloon kyphoplasty (BKP) against conservative management or sham procedures for osteoporotic vertebral compression fractures, and that report pain and functional outcomes plus complications (cement leakage and/or adjacent vertebral fracture). However, please exclude studies that (a) do not define fracture acuity using imaging (e.g., no MRI STIR/bone marrow edema or no clear acute vs chronic definition), (b) are purely technical biomechanical/cadaver studies, or (c) are non-comparative single-arm case series. I specifically need evidence that can support subgroup analyses by symptom duration or acute vs chronic fractures","answer":["Vertebroplasty versus Active Control Intervention for Chronic Osteoporotic Vertebral Compression Fractures: The VERTOS V Randomized Controlled Trial","Vertebroplasty versus sham procedure for painful acute osteoporotic vertebral compression fractures (VERTOS IV): randomised sham controlled clinical trial","Vertebroplasty versus conservative treatment in acute osteoporotic vertebral compression fractures (Vertos II): an open-label randomised trial","Safety and efficacy of vertebroplasty for acute painful osteoporotic fractures (VAPOUR): a multicentre, randomised, double-blind, placebo-controlled trial","Efficacy and safety of balloon kyphoplasty compared with non-surgical care for vertebral compression fracture (FREE): a randomised controlled trial","Balloon kyphoplasty for the treatment of acute vertebral compression fractures: 2-year results from a randomized trial","A randomized trial of balloon kyphoplasty and nonsurgical management for treating acute vertebral compression fractures: vertebral body kyphosis correction and surgical parameters","Comparative analysis of clinical outcomes in patients with osteoporotic vertebral compression fractures (OVCFs): conservative treatment versus balloon kyphoplasty","Percutaneous vertebroplasty compared to conservative treatment in patients with painful acute or subacute osteoporotic vertebral fractures: three-months follow-up in a clinical randomized study","Twelve-months follow-up in forty-nine patients with acute/semiacute osteoporotic vertebral fractures treated conservatively or with percutaneous vertebroplasty: a clinical randomized study","Effect of vertebroplasty on pain relief, quality of life, and the incidence of new vertebral fractures: a 12-month randomized follow-up, controlled trial","Randomized controlled trial of percutaneous vertebroplasty versus optimal medical management for the relief of pain and disability in acute osteoporotic vertebral compression fractures","Percutaneous vertebroplasty compared with conservative treatment in patients with chronic painful osteoporotic spinal fractures","Percutaneous Vertebroplasty is no Risk Factor for New Vertebral Fractures and Protects Against Further Height Loss (VERTOS IV)","Two-year results of a randomized placebo-controlled trial of vertebroplasty for acute osteoporotic vertebral fractures","Percutaneous vertebroplasty compared with optimal pain medication treatment: short-term clinical outcome of patients with subacute or chronic painful osteoporotic vertebral compression fractures. The VERTOS study","Early vertebroplasty within 3 weeks of fracture for acute painful vertebral osteoporotic fractures: subgroup analysis of the VAPOUR trial and review of the literature","Functional Outcomes and New Vertebral Fractures in Percutaneous Vertebroplasty and Conservative Treatment of Acute Symptomatic Osteoporotic Vertebral Compression Fractures","Twelve-Months Follow-up in Forty-Nine Patients With Acute/Semiacute Osteoporotic Vertebral Fractures Treated Conservatively or With Percutaneous Vertebroplasty","Percutaneous Vertebroplasty Compared to Conservative Treatment in Patients With Painful Acute or Subacute Osteoporotic Vertebral Fractures","An evaluation of the functional and radiological results of percutaneous vertebroplasty versus conservative treatment for acute symptomatic osteoporotic spinal fractures","Double Blind Placebo-controlled Trial of Percutaneous Vertebroplasty (VOPE)","Comparing Clinical Outcomes Following Percutaneous Vertebroplasty with Conservative Therapy for Acute Osteoporotic Vertebral Compression Fractures","Osteoporotic Vertebral Compression Fractures: Surgery versus Non-Operative Management","Efficacy and safety of vertebroplasty for treatment of painful osteoporotic vertebral fractures: a randomised controlled trial [ACTRN012605000079640]","Reduction of pain and fracture incidence after kyphoplasty: 1-year outcomes of a prospective controlled trial of patients with primary osteoporosis","New vertebral fractures after vertebroplasty: 2-year results from a randomised controlled trial"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Could you help me find papers published in the SIGIR 2023 or SIGIR 2024 main conference proceedings that introduce a new dataset or benchmark for multi-turn conversational search / conversational information seeking (not just dialogue generation) and report baseline evaluation results? Please only include papers published before Nov 1, 2025.","answer":["ProCIS: A Benchmark for Proactive Retrieval in Conversations","TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants","Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond","Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset","U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation","Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"Could you help me find papers that propose benchmarks for LLM agents doing end-to-end web navigation in a real browser (e.g., click/type/scroll) to complete goal-oriented tasks, with automatic and reproducible evaluation based on the final webpage state (URL/DOM/transaction state), but excluding (a) synthetic/toy web environments (e.g., purely MiniWoB-style toy sites), (b) benchmarks focused mainly on long-form report writing or summarization, and (c) benchmarks evaluated only by human raters. Please only include papers published between 2022-01-01 and 2025-11-01.","answer":["WebArena: A Realistic Web Environment for Building Autonomous Agents","VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks","WebCanvas: Benchmarking Web Agents in Online Environments","Tur[k]ingBench: A Challenge Benchmark for Web Agents","WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?","REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites","WARC-Bench: Web Archive Based Benchmark for GUI Subtask Executions","WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks","ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents","VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks","Dissecting Adversarial Robustness of Multimodal LM Agents","WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I'm developing a point-of-care device for detecting cancer mutation genes, but traditional CRISPR-Cas systems require cleavage activity, which can lead to off-target effects and false positives. Are there papers that use dCas9 or dCas13 proteins for biosensing, enabling high-specificity recognition without cleavage activity, and are suitable for multiplex detection?","answer":["Detection of unamplified target genes via CRISPR-Cas9 immobilized on a graphene field-effect transistor","Multiplexed DNA Identification Using Site Specific dCas9 Barcodes and Nanopore Sensing","CRISPR/dCas9-assisted SERS sensing for transgenic crops based on two-factor verification of 35S promoter and Nos terminator","CRISPR/dCas9-based hotspot self-assembling SERS biosensor integrated with a smartphone for simultaneous, ultrasensitive and robust detection of multiple pathogens","CRISPR/dCas9-mediated biosensor for detection of tick-borne diseases","Bio-SCAN: A CRISPR/dCas9-Based Lateral Flow Assay for Rapid, Specific, and Sensitive Detection of SARS-CoV-2","Design of Nucleic Acid Biosensors Based on CRISPR/Cas Systems and Reporter Split Proteins","Silver Nanoparticles with Dual-Recognition via CRISPR/dCas9 for SERS Identification of Two KRAS Mutations in Nucleic Acid Targets","Direct MYD88 L265P gene detection for diffuse large B-cell lymphoma (DLBCL) via a miniaturised CRISPR/dCas9-based sensing chip","CRISPR-dCas9 powered impedimetric biosensor for label-free detection of circulating tumor DNAs","Label-free highly sensitive detection of DNA approximate length and concentration by impedimetric CRISPR-dCas9 based biosensor technology","Ultrasensitive single-point mutation detection via digital counting of individual dCas9-DNA complexes","dCas9-Mediated PCR-Free Detection of Oncogenic Mutation by Nonequilibrium Nanoelectrokinetic Selective Preconcentration"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Microbiology"}}
{"question":"Please find papers that utilize dCas proteins (e.g., dCas9, dCas13) for biosensing applications, but the system is NOT designed for detecting pathogen nucleic acids (such as bacterial or viral genomes). Instead, the target should be focused on eukaryotic biomarkers, such as microRNAs or cancer mutations.","answer":["A microRNA-inducible CRISPR–Cas9 platform serves as a microRNA sensor and cell-type-specific genome regulation tool","CRISPR/dCas9-Mediated Specific Molecular Assembly Facilitates Genotyping of Mutant Circulating Tumor DNA","CRISPR-dCas9 powered impedimetric biosensor for label-free detection of circulating tumor DNAs","dCas9-Mediated PCR-Free Detection of Oncogenic Mutation by Nonequilibrium Nanoelectrokinetic Selective Preconcentration","Label-free highly sensitive detection of DNA approximate length and concentration by impedimetric CRISPR-dCas9 based biosensor technology","Discrimination of single-point mutations in unamplified genomic DNA via Cas9 immobilized on a graphene field-effect transistor","A Highly Sensitive CRISPR-Empowered Surface Plasmon Resonance Sensor for Diagnosis of Inherited Diseases with Femtomolar-Level Real-Time Quantification","Silver Nanoparticles with Dual-Recognition via CRISPR/dCas9 for SERS Identification of Two KRAS Mutations in Nucleic Acid Targets","Direct MYD88 L265P gene detection for diffuse large B-cell lymphoma (DLBCL) via a miniaturised CRISPR/dCas9-based sensing chip","A Highly Sensitive CRISPR‐Empowered Surface Plasmon Resonance Sensor for Diagnosis of Inherited Diseases with Femtomolar‐Level Real‐Time Quantification"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Microbiology"}}
{"question":"Please identify papers that propose Transformer-based architectures or foundation models specifically for Time Series Forecasting. The papers must be formally published in the proceedings of ICLR 2024.","answer":["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting","Time-LLM: Time Series Forecasting by Reprogramming Large Language Models","iTransformer: Inverted Transformers Are Effective for Time Series Forecasting","Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting","CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting","VQ-TR: Vector Quantized Attention for Time Series Forecasting","ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning","Periodicity Decoupling Framework for Long-term Series Forecasting","Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting","TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I am looking for diffusion-based image editing methods published in CVPR 2024. I am specifically interested in methods that perform editing in a zero-shot or inference-only manner. Please EXCLUDE any methods that require test-time fine-tuning, per-image optimization, or model training on the specific input (such as DreamBooth-style or inversion-optimization methods).","answer":["Inversion-Free Image Editing with Language-Guided Diffusion Models","LEDITS++: Limitless Image Editing using Text-to-Image Models","DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing","ZONE: Zero-Shot Instruction-Guided Local Editing","Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation","PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor","Text-Driven Image Editing via Learnable Regions","An Edit Friendly DDPM Noise Space: Inversion and Manipulations","Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing","Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D","AnyDoor: Zero-shot Object-level Image Customization","Z*: Zero-shot Style Transfer via Attention Reweighting","Person in Place: Generating Associative Skeleton-Guidance Maps for Human-Object Interaction Image Editing","SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models","Emu Edit: Precise Image Editing via Recognition and Generation Tasks","CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model","Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I am looking for research papers published between 2023 and 2025 that investigate the security of LLM-based autonomous agents, specifically focusing on defending against \"indirect prompt injection\" or \"jailbreaking\" during tool-calling and environment interaction. Please EXCLUDE general jailbreak papers that only target static chatbots; the research must involve agentic workflows or external API interactions.","answer":["The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Please identify research papers published between 2023 and 2025 regarding State Space Models (SSMs) for sequence modeling. I am specifically looking for papers authored or co-authored by researchers affiliated with Carnegie Mellon University (CMU) or Stanford University that were formally published in top-tier conferences such as ICLR, ICML, or NeurIPS.","answer":["Hungry Hungry Hippos: Towards Language Modeling with State Space Models","Simplified State Space Layers for Sequence Modeling","How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections","State-Free Inference of State-Space Models: The *Transfer Function* Approach","Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers","Simple Hardware-Efficient Long Convolutions for Sequence Modeling"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I’m building a multi-agent system with LLMs, but coordination among agents is causing scalability issues (too many back-and-forth messages, high token cost, and latency). Can you recommend papers published between 2022-01-01 and 2025-11-01 that propose communication-efficient multi-agent coordination mechanisms (e.g., structured communication protocols, hierarchical coordination, shared memory/blackboard, role-based planning) without sacrificing collaboration effectiveness, and that report quantitative evaluations?","answer":["MARS: toward more efficient multi-agent collaboration for LLM reasoning","Cut the crap: An economical communication pipeline for llm-based multi-agent systems","Agent-GSPO: Communication-Efficient Multi-Agent Systems via Group Sequence Policy Optimization","AutoHMA-LLM: Efficient task coordination and execution in heterogeneous multi-agent systems using hybrid large language models","HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems","Stochastic Self-Organization in Multi-Agent Systems","Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems","Agentdropout: Dynamic agent elimination for token-efficient and high-performance llm-based multi-agent collaboration","Scalable multi-robot collaboration with large language models: Centralized or decentralized systems?","SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication","Adaptive Graph Pruning for Multi-Agent Communication","RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory","GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion","Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development","From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium","KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems","Anemoi: A Semi-Centralized Multi-agent System Based on Agent-to-Agent Communication MCP server from Coral Protocol","Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture","LLM-based Multi-Agent Blackboard System for Information Discovery in Data Science","KVComm: Enabling Efficient LLM Communication through Selective KV Sharing","ELHPlan: Efficient Long-Horizon Task Planning for Multi-Agent Collaboration","Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems","G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks","Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System","Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence","Embodied LLM Agents Learn to Cooperate in Organized Teams","AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems","AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need","The Moderator Mechanism: A Novel Design in Distributed Multi-Agent Large Language Models","Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration","Multi-Agent Collaboration via Evolving Orchestration","OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents","Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?","AgentRec: Next-Generation LLM-Powered Multi-Agent Collaborative Recommendation with Adaptive Intelligence","G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems","Fleet of Agents: Coordinated Problem Solving with Large Language Models","Lyfe Agents: Generative agents for low-cost real-time social interactions","Let Models Speak Ciphers: Multiagent Debate through Embeddings","Dynamic Strategy Adaptation in Multi-Agent Environments with Large Language Models","MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems","Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View","Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications","Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication","BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"Could you help me find papers published in the ICLR 2024 main conference proceedings that introduce a new benchmark/dataset for evaluating LLMs as agents or general AI assistants (e.g., multi-step task completion, tool use, interactive environments) and report baseline evaluation results? Please only include papers published before Nov 1, 2025.","answer":["AgentBench: Evaluating LLMs as Agents","WebArena: A Realistic Web Environment for Building Autonomous Agents","GAIA: a benchmark for General AI Assistants","MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback","SWE-bench: Can Language Models Resolve Real-world Github Issues?","SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents","Identifying the Risks of LM Agents with an LM-Emulated Sandbox","SmartPlay : A Benchmark for LLMs as Intelligent Agents","MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use","Evaluating Language Model Agency Through Negotiations","CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents","LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents","HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments","Towards Robust Multi-Modal Reasoning via Model Selection","Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds","Large Language Models as Generalizable Policies for Embodied Tasks","ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs","Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory","Chain-of-Experts: When LLMs Meet Complex Operations Research Problems"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Artificial Intelligence"}}
{"question":"I am working on triple-junction GaAs laser power converters for wireless power transmission. A major issue I'm facing is the efficiency drop due to thermal effects under high-intensity laser illumination. Can you recommend papers that investigate the temperature dependence of GaAs cells under monochromatic laser light and propose thermal management strategies or temperature-dependent efficiency models? The papers should be released before the end of 2025.","answer":["Operando Temperature Measurements of Photovoltaic Laser Power Converter Devices Under Continuous High-Intensity Illumination","74.7% Efficient GaAs-based laser power converters at 808 nm at 150 K","Study on the damage effects of 940nm pulsed laser on tri-junction GaAs solar cells","Achieving~ 40% power conversion efficiency increase of single-junction GaAs solar cells via temperature regulation","Enhanced laser wireless power transmission efficiency with a novel PV-TEG hybrid receiver: dual thermal management and energy recovery","High-performance laser power converts for direct-energy applications","Optimal laser wavelength for efficient laser power converter operation over temperature","GaAs converters for high power densities of laser illumination","High-voltage GaAs photovoltaic laser power converters","III-V solar cells under monochromatic illumination","Experimental coupling process efficiency and benefits of back surface reflectors in photovoltaic multi‐junction photonic power converters","Thermal Management of GaAs and Si Solar Cells for Laser Power-Beaming Applications in Space and Earth Orbits","On the temperature dependence of dual-junction laser power converters","Temperature drift of PV parameters in high-power laser converters","Investigating the Effect of Incident Intensity on Single-junction GaAs PV Cells Conversion Efficiency at Different Temperatures","Evaluation of the PV Cell Operation Temperature in the Process of Fast Switching to Open-Circuit Mode","A heat-sinking self-referencing fiber optic emission probe","Multi-junction laser power converters exceeding 50% efficiency in the short wavelength infrared","Optimal I–V Curve Scan Time for a GaAs Laser Power Converter","Power and Spectral Range Characteristics for Optical Power Converters","Measuring junction temperature of GaAs solar cells using pulse-width modulation photoluminescence","Cooling Fiber Laser Power Converter Systems by Immersion in Oil","Influence of temperature on luminescent coupling and material quality evaluation in inverted lattice‐matched and metamorphic multi‐junction solar cells","Design, Fabrication, and Characterization of a Laser-Controlled Explosion-Initiating Device with Integrated Safe-and-Arm, EMP-Resistant, and Fast-Acting Technology Based on Photovoltaic Power Converter","Characteristics of 1520 nm InGaAs multijunction laser power converters","Design and optimization of GaAs photovoltaic converter for laser power beaming","Solar-Driven Sustainability: III–V Semiconductor for Green Energy Production Technologies","Thermal stability of vertically coupled InAs-GaAs quantum dot arrays","Analysis of Electrothermal Effects in Devices and Arrays in InGaP/GaAs HBT Technology","Experimental investigation on the thermal performance of high-concentrated photovoltaic module utilizing the thermal sink of a novel Fan-shaped plate pulsating heat pipe","Computational analysis of temperature effects on solar cell efficiency"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Electronics and Information"}}
{"question":"Find research papers on the design, efficiency analysis, or parameter extraction of Gallium Arsenide (GaAs) laser power converters (LPC) that were published specifically in the journal \"Progress in Photovoltaics: Research and Applications\" or \"IEEE Transactions on Electron Devices\".","answer":["Overcoming optical-electrical grid design trade-offs for cm²-sized high-power GaAs photonic power converters by plating technology","Comprehensive electrical loss analysis of monolithic interconnected multi-segment laser power converters","Integrated series/parallel connection for photovoltaic laser power converters with optimized current matching","Design and characterization of multijunction photovoltaic laser power converters for nonuniform irradiance light profiles","High-voltage GaAs photovoltaic laser power converters","On the temperature dependence of dual-junction laser power converters","GaAs converters for high power densities of laser illumination","Evaluation of mismatch and non-uniform illumination losses in monolithically series-connected GaAs photovoltaic converters","Pushing the limits of concentrated photovoltaic solar cell tunnel junctions in novel high-efficiency GaAs phototransducers based on a vertical epitaxial heterostructure architecture","Subcell-Resolved EQE Method Using Reverse Voltage Biasing for Multijunction Photovoltaics With Overlapping Subcell Absorptance","The influence of monolithic series connection on the efficiency of GaAs photovoltaic converters for monochromatic illumination","Design and optimization of very high power density monochromatic GaAs photovoltaic cells","A Ga0.51In0.49P/GaAs-based photovoltaic converter for two-directional optical power and data transmission","Dynamic analysis of cascaded laser power converters for simultaneous high-speed data detection and optical-to-electrical DC power generation","One-watt fiber-based power-by-light system for satellite applications"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Electronics and Information"}}
{"question":"Please help me find papers published between 2020-2025 in top oceanography journals (including Journal of Geophysical Research, etc.) that use advanced AI technologies (e.g., deep learning, machine learning) for the detection or tracking of marine mesoscale eddies.","answer":["A Dual-Attention Mechanism Deep Learning Network for Mesoscale Eddy Detection by Mining Spatiotemporal Characteristics","Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning","Deep Learning Improves Global Satellite Observations of Ocean Eddy Dynamics","SymmetricNet: end-to-end mesoscale eddy detection with multi-modal data fusion","Improved identification and tracking of three-dimensional eddies in the Southern Ocean utilizing 3D-U-Res-Net","Identification of mesoscale eddies based on improved YOLOv8 model: a case study in the South China Sea"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Earth Sciences"}}
{"question":"Please help me find papers that use advanced AI technologies for the detection or tracking of marine mesoscale eddies. Exclude papers relying solely on satellite remote sensing data—prefer schemes integrating at least one of the following supplementary data sources: Argo buoy observations, in-situ oceanographic measurements, or numerical model outputs. The model architecture may include CNNs, but should not be limited to a single CNN (i.e., hybrid models combining CNN with Transformer, GNN, or other advanced AI frameworks are acceptable).","answer":["High kinetic energy mesoscale eddy identification based on multi-task learning and multi-source data","Global oceanic eddy identification: A deep learning method from argo profiles and altimetry data","An efficient oceanic eddy identification method with XBT data using transformer","A physics-informed machine learning approach for predicting acoustic convergence zone features from limited mesoscale eddy data","Reconstructing the Three-Dimensional Thermohaline Structure of Mesoscale Eddies in the South China Sea Using In Situ Measurements and Multi-Sensor Satellites","A Novel Mesoscale Eddy Identification Method Using Enhanced Interpolation and A Posteriori Guidance","Three-dimensional structure reconstruction of ocean mesoscale eddies based on physical process modeling and data-driven machine learning","LanTu: Dynamics-Enhanced Deep Learning for Eddy-Resolving Ocean Forecasting","A mesoscale eddy reconstruction method based on generative adversarial networks","Detection of three-dimensional structures of oceanic eddies using artificial intelligence","Impact of surface and subsurface-intensified eddies on sea surface temperature and chlorophyll a in the northern Indian Ocean utilizing deep learning","3DV-Unet: Eddy-Resolving Reconstruction of Three-Dimensional Upper-Ocean Physical Fields from Satellite Observations","JMSE, Vol. 11, Pages 1779: 3D-EddyNet: A Novel Approach for Identifying Three-Dimensional Morphological Features of Mesoscale Eddies in the Ocean","Intelligent inversion of mesoscale eddy temperature anomaly profiles based on multi-source remote sensing data","Reconstructing 3-D Thermohaline Structures for Mesoscale Eddies Using Satellite Observations and Deep Learning","Applications of Deep Learning parameterization of Ocean Momentum Forcing","Towards a physics-constrained and interpretable data-driven parameterization scheme for mesoscale eddies in ocean modeling","Deep learning in the abyss: a stratified Physics Informed Neural Network for data assimilation","Data-Attention-YOLO (DAY): A Comprehensive Framework for Mesoscale Eddy Identification","Recent Developments in Artificial Intelligence in Oceanography","Estimating daily subsurface thermohaline structure from satellite data: A deep network with embedded empirical orthogonal functions","JMSE, Vol. 12, Pages 323: Argo Buoy Trajectory Prediction: Multi-Scale Ocean Driving Factors and Time–Space Attention Mechanism","AI-GOMS: Large AI-Driven Global Ocean Modeling System","A review of artificial intelligence in marine science","The Identification and Prediction of Mesoscale Eddy Variation via Memory in Memory With Scheduled Sampling for Sea Level Anomaly","Automatic identification and tracking of meso-scale eddies in the Persian Gulf using the pattern mining approach","Bridging observations, theory and numerical simulation of the ocean using machine learning","Data‐Driven Equation Discovery of Ocean Mesoscale Closures","Automated Glider Tracking of a California Undercurrent Eddy Using the Extended Kalman Filter","Medium-range forecasting of oceanic eddy trajectory","Improving the Reconstruction of Vertical Temperature Profiles on Account of Oceanic Front Impacts"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Earth Sciences"}}
{"question":"I'm building a graph-based ANN index for vector search (HNSW/NSW-style). In practice, I notice that even with the same dataset and the same hyperparameters (e.g., M, ef_construction, pruning rules), the final graph quality and search performance vary a lot across different builds—especially when I change the random seed, the insertion order, or the initial entry point / early inserted points. This “path dependence” makes tuning unreliable. Can you recommend papers (published before Nov 1, 2025) that (1) systematically analyze why HNSW-like construction is sensitive to build history (ordering/initialization/randomness), (2) quantify the impact on recall/latency/build cost/memory, and (3) propose construction-time strategies that make the graph more robust or consistently higher-quality (e.g., ordering/insertion heuristics, LID/outlier-aware insertion, alternative neighbor selection/pruning, multi-branch/bridge, or other robustness methods)?","answer":["The impacts of data, ordering, and intrinsic dimensionality on recall in hierarchical navigable small worlds","Dual-Branch HNSW Approach with Skip Bridges and LID-Driven Optimization","Understanding Indexing Efficiency for Approximate Nearest Neighbor Search in High-dimensional Vector Databases","Hierarchical Epsilon-Net Graphs: Time Guarantees for HNSW in Approximate Nearest Neighbor Search","Grasp: Optimizing graph-based nearest neighbor search with subgraph sampling and pruning","Graph-based vector search: An experimental evaluation of the state-of-the-art","A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search","Enhancing HNSW Index for Real-Time Updates: Addressing Unreachable Points and Performance Degradation","Towards efficient index construction and approximate nearest neighbor search in high-dimensional spaces","Sparse Neighborhood Graph-Based Approximate Nearest Neighbor Search Revisited: Theoretical Analysis and Optimization","Down with the Hierarchy: The ‘H’ in HNSW Stands for “Hubs”","Revisiting the Index Construction of Proximity Graph-Based Approximate Nearest Neighbor Search","HNSW++: A Dual-Branch Hierarchical Navigable Small World Graph with LID-Guided Skip Bridge Optimization","Theoretical and Empirical Analysis of Adaptive Entry Point Selection for Graph-based Approximate Nearest Neighbor Search","Boosting Accuracy and Efficiency for Vector Retrieval with Local Scaling Graph","A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search","On the Effectiveness of Graph Reordering for Accelerating Approximate Nearest Neighbor Search on GPU","A Note on Graph-Based Nearest Neighbor Search","RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search","Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations","Graph Reordering for Cache-Efficient Near Neighbor Search","High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility","Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search","DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex","Panorama: Fast-Track Nearest Neighbors","General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo","Constrained Approximate Similarity Search on Proximity Graph","Accelerating Graph Indexing for ANNS on Modern CPUs","Fast Approximate Nearest Neighbor Search with a Dynamic Exploration Graph using Continuous Refinement","Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs","Down with the Hierarchy: The 'H' in HNSW Stands for \"Hubs\"","Graph-based Nearest Neighbor Search: From Practice to Theory","Learning to Route in Similarity Graphs","Zonal HNSW: Scalable Approximate Nearest Neighbor Search for Billion-Scale Datasets","OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries","Hm-ann: Efficient billion-point nearest neighbor search on heterogeneous memory","Graph based Nearest Neighbor Search: Promises and Failures","GSearch: ultra-fast and scalable genome search by combining K-mer hashing with hierarchical navigable small world graphs","Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph","Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search","P-HNSW : Crash-Consistent HNSW for Vector Databases on Persistent Memory","Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search","Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets","Towards Similarity Graphs Constructed by Deep Reinforcement Learning","Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections","Proximity Graph Maintenance for Fast Online Nearest Neighbor Search"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"I'm building a Text-to-SQL system that iteratively fixes semantic errors using database execution feedback, but I want methods that work without revealing the gold SQL at inference time. Please find papers (published before Nov 1, 2025) that propose multi-round refinement for Text-to-SQL where the model executes candidate SQL, uses execution-derived signals (runtime errors, empty results, mismatched aggregates, executable checks, rejection sampling, test generation, etc.) as feedback, and revises SQL for multiple rounds.\nExclude papers that (a) are strictly one-shot (no execution loop), (b) only fix trivial syntax/formatting errors, or (c) rely mainly on human-written revision feedback during inference.","answer":["Enhancing text-to-SQL parsing through question rewriting and execution-guided refinement","ExCoT: Optimizing reasoning for text-to-SQL with execution feedback","Fisql: Enhancing text-to-sql systems with rich interactive feedback","Sphinteract: Resolving Ambiguities in NL2SQL through User Interaction","TS-SQL: Test-driven Self-refinement for Text-to-SQL","ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Format Restriction, and Column Exploration","MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL","ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL","MTIR-SQL: Multi-turn Tool-Integrated Reasoning Reinforcement Learning for Text-to-SQL","SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement","SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","ExSPIN: Explicit Feedback-Based Self-Play Fine-Tuning for Text-to-SQL Parsing","Interactive-T2S: Multi-Turn Interactions for Text-to-SQL with Large Language Models","Query and Conquer: Execution-Guided SQL Generation","ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects","Teaching Large Language Models to Self-Debug","SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL","SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration","CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions","A Study of In-Context-Learning-Based Text-to-SQL Errors"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Artificial Intelligence and Computing","subsubject":"Computer Science"}}
{"question":"Please help me find papers related to robotic manipulation that were published by the National University of Singapore at the ICRA 2025 conference.","answer":["D(R,O) Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping","RobiButler: Remote Multimodal Interactions with a Household Robot Assistant","Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers","Robi Butler: Multimodal Remote Interaction with a Household Robot Assistant","Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Robotics and Intelligent Vehicles"}}
{"question":"Please help me find papers in the automotive field that focus on dynamic tire load estimation for vehicles. The methodology in these papers must involve accurate modeling of the suspension system and use the Magic Formula to analyze tire forces. The approach should not rely on macro-level vehicle attitude modeling, but rather on modeling of independent suspensions. Additionally, the papers must include real-vehicle experiments—not just simulations. The paper should be published in 2024.","answer":["Data-enabled tire-road friction estimation based on explainable dynamics mechanism under straight stationary driving maneuvers","Development of a Tire Characterization Procedure from Track Acquisitions with an Instrumented Race Vehicle","Analysis and Design of Suspension State Observer for Wheel Load Estimation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Robotics and Intelligent Vehicles"}}
{"question":"I’m building a mixed traffic flow model using multi-agent reinforcement learning and large language model, but the generalization of the model is a main problem. Can you recommend recent 2-year papers with corresponding methods to build a mixed traffic flow model which is verified in diverse scenarios?","answer":["Koma: Knowledge-driven multi-agent framework for autonomous driving with large language models","AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging","CCMA: A framework for cascading cooperative multi-agent in autonomous driving merging using Large Language Models","Towards Interactive and Learnable Cooperative Driving Automation: A Large Language Model-Driven Decision-Making Framework","Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning","LEAD: LLM- enhanced deep reinforcement learning for stable decision-making in critical autonomous driving scenarios","Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles","Real-Time Traffic Flow Optimization Using Large Language Models and Reinforcement Learning for Smart Urban Mobility","Autonomous Intersection Management via Prior-Enhanced Multi-Agent Constrained Decision Transformer","Embodied AI-Enhanced Vehicular Networks: An Integrated Vision Language Models and Reinforcement Learning Method","Efficacy of Autonomous Vehicle’s Adaptive Decision-Making Based on Large Language Models Across Multiple Driving Scenarios"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Civil Engineering"}}
{"question":"Could you help me find journal papers in 2024 and 2025 that focused on building mixed traffic flow models that have been published in Transportation Research Part B, Transportation Research Part C, and Physica A: Statistical Mechanics and its Applications?","answer":["Discrete macroscopic traffic flow model considering the lane-changing behaviors in the mixed traffic environment","Environmental impact estimation of mixed traffic flow involving CAVs and Human-driven vehicles considering the non-equilibrium state","Stochastic fundamental diagram modeling of mixed traffic flow: A data-driven approach","A multi-layer multiclass cell transmission model for modeling heterogeneous traffic flow","An anisotropic macroscopic mixed-flow model integrating the perceptual domains differences impact","Fundamental diagram of mixed traffic flow of CAVs with different connectivity and automation levels","Improved multi-agent deep reinforcement learning-based integrated control for mixed traffic flow in a freeway corridor with multiple bottlenecks","A cellular automaton model for mixed traffic flow considering the size of CAV platoon","Lane management for mixed traffic flow on roadways considering the car-following behaviors of human-driven vehicles to follow connected and automated vehicles","Analysis of mixed traffic flow characteristics based on cellular automata model under lane management measures","Cellular automaton model for the analysis of design and plan of bus station in the mixed traffic environment","Modeling the road network capacity in a mixed HV and CAV environment","Markov chain-based capacity modeling for mixed traffic flow with bi-class connected vehicle platoons on minor road at priority intersections","Analysis of the impact of heterogeneous platoon for mixed traffic flow: A fundamental diagram method","Car following dynamics in mixed traffic flow of autonomous and human-driven vehicles: Complex networks approach","Traffic safety evaluation for mixed traffic flow caused by degradation of connected automated vehicles","Enhancing stability of traffic flow mixed with connected automated vehicles via enabling partial regular vehicles with vehicle-to-vehicle communication function","Linear internal stability for mixed traffic flow of CAVs with different automation levels","Traffic flow impact of mixed heterogeneous platoons on highways: an approach combining driving simulation and microscopic traffic simulation","Modelling the dual dynamic traffic flow evolution with information perception differences between human-driven vehicles and connected autonomous vehicles","Uncertainty modeling of connected and automated vehicle penetration rate under mixed traffic environment","Joint lane management and signal optimization for mixed-autonomy intersections: An analytical approach","Effectiveness of non-directional lane strategy at signalized intersections: A cellular automata study","Phase transitions and spectrum evaluation in mixed traffic model concerned with Interruption Probability Effect under CAVs and HDVs surroundings","Study on particulate emission in two-lane mixed traffic flow","Influence of information flow topology and maximum platoon size on mixed traffic stability","Connected automated vehicles orchestrating human-driven vehicles: Optimizing traffic speed and density in urban networks","A scalable macro–micro approach for cooperative platoon merging in mixed traffic flows","Progressive virtual risk-based vehicle trajectory optimization in mixed traffic flow","Integrated optimization of traffic signals and vehicle trajectories for mixed traffic at signalized intersections: A two-level hierarchical control framework","Infrastructure-Assisted cooperative driving and intersection management in mixed traffic conditions","Stochastic traffic signal optimization and robust vehicle trajectory control in uncertain mixed traffic flow","A traffic control strategy for freeway merging zones cooperating safety and efficiency in the intelligent connected environment of mixed vehicles","Group-benefit control strategy for connected automated vehicles in mixed traffic at intersections","Hybrid-phase-enabled multi-mode-band approach to arterial traffic control in mixed traffic environment with self-organized connected and automated vehicles","Joint optimization of vehicle platoon and traffic signal with mixed traffic flow at intersections: Deep reinforcement learning approach","Ramp layout optimization and integrated control for mixed networks of freeways and arterial roads in an intelligent connected vehicle environment","Network multiscale urban traffic control with mixed traffic flow","Automated lane changing control in mixed traffic: An adaptive dynamic programming approach","On the morning commute problem with mixed autonomous and human-driven traffic under stochastic bottleneck capacity","Mitigating oscillations of mixed traffic flows at a signalized intersection: A multiagent trajectory optimization approach based on oscillation prediction","Intersection eco-driving strategies under mixed traffic environment: An novel cooperation of traffic signal and vehicle trajectory planning","Platoon-based control strategy in mixed traffic to improve ramp merging efficiency and fuel reduction","Unleashing the two-dimensional benefits of connected and automated vehicles via dedicated intersections in mixed traffic","Hybrid car following control for CAVs: Integrating linear feedback and deep reinforcement learning to stabilize mixed traffic","Impact of beyond-line-of-sight connectivity on the capacity and stability of mixed traffic flow: An analytical and numerical investigation","Modeling the mixed traffic capacity of minor roads at a priority intersection","On the impacts of dedicated lanes for CAVs in mixed traffic: Evaluation using a modified cell transmission model","An internal stochastic car-following model: Stochasticity analysis of mixed traffic environment","Understanding heterogeneity of automated vehicles and its traffic-level impact: A stochastic behavioral perspective","An optimal lane configuration management scheme for a mixed traffic freeway with connected vehicle platoons","Study on mixed traffic characteristics around highway on-ramp bottleneck using a microscopic simulation model","Capacity improvement for mixed traffic flow by installing vehicle-to-vehicle devices on partial human-driven vehicles to serve connected automated vehicles","Optimal lane management policy for connected automated vehicles in mixed traffic flow","Cooperative control of mixed CAV-HDV platoons with hierarchical optimization for oscillation mitigation","Variable speed limit control method of freeway merging area in a car-truck mixed heterogeneous traffic environment","Modeling dedicated lanes for connected autonomous vehicles with poly-information uncertainties and electronic throttle dynamics","Emissions-reduction strategy for connected autonomous vehicles on mixed traffic freeways"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Civil Engineering"}}
{"question":"Could you please help me search for the literature published by Wuhan Union Hospital in the past five years, with Xiong Yuan as the first author or corresponding author, in materials-related journals","answer":["Immune‐Vascular Synergy: A Photodynamic Hydrogel Activating ALDH2 to Combat Inflammation and Enhance Angiogenesis in Diabetic Wound Healing","Immune-Vascular Synergy: A Photodynamic Hydrogel Activating ALDH2 to Combat Inflammation and Enhance Angiogenesis in Diabetic Wound Healing","Multifunctional hydrogel enhances bone regeneration through sustained release of Stromal Cell-Derived Factor-1α and exosomes","Microenvironment-sensitive nanozymes for tissue regeneration","Novel cocktail therapy based on multifunctional supramolecular hydrogel targeting immune-angiogenesis-nerve network for enhanced diabetic wound healing","The role of the immune microenvironment in bone, cartilage, and soft tissue regeneration: from mechanism to therapeutic opportunity","A Whole-Course-Repair System Based on Neurogenesis-Angiogenesis Crosstalk and Macrophage Reprogramming Promotes Diabetic Wound Healing","Microenvironment-responsive nanomedicines: a promising direction for tissue regeneration"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Could you help me check if there are any clinical articles about orthopedic that have designed an innovative scoring system? This system does not rely on subjective feelings or evaluations from patients or doctors, but instead grades patients into different levels based on the degree of progression observed in imaging. It does not introduce novel or unconventional scoring indicators; rather, it uses indicators that can already be reliably measured clinically.","answer":["MRI detection and grading of knee osteoarthritis–a pilot study using an AI technique with a novel imaging-based scoring system","A novel radiographic scoring system for growth abnormalities and structural change in children with juvenile idiopathic arthritis of the hip","Osteochondral Allograft MRI Scoring System (OCAMRISS) in the knee: interobserver agreement and clinical application","Development of a Comprehensive Osteochondral Allograft MRI Scoring System (OCAMRISS) with Histopathologic, Micro-Computed Tomography, and Biomechanical Validation","Early Radiographic Healing and Functional Results After Autologous Osteochondral Grafting for Osteochondritis Dissecans of the Capitellum: Introduction of a New Magnetic Resonance Imaging-Based Scoring System"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Title: Comparative Efficacy and Hierarchical Ranking of Lay-Rescuer Cardiopulmonary Resuscitation through Digital Evolution: A Bayesian Network Meta-Analysis Mapping the Evidence Panorama from Benchmarks to Algorithmic Ubiquity","answer":["Association between bystander cardiopulmonary resuscitation initiation and patient's sex: a systematic review and meta-analysis","Empowering the next Generation: An innovative \"Kids Save Lives\" blended learning programme for schoolchildren training"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Please help me find research papers on operando/in situ diagnostics of lithium plating on graphite anodes during fast charging in lithium-ion batteries. The papers must include (i) graphite anode (not silicon-dominant), (ii) fast-charge conditions (≤20 minutes to reach ≥80% SOC, or explicitly ≥3C charge), (iii) direct evidence of lithium plating using at least one operando/in situ technique (e.g., neutron diffraction, NMR, X-ray/CT, Raman, acoustic, or reference electrode), and (iv) a mitigation strategy (protocol design or electrolyte/additive design) validated on full cells.","answer":["Fast Charging of Li-Ion Cells: Part V. Design and Demonstration of Protocols to Avoid Li-Plating","Fast charging of Li-ion cells: Effect of separator membranes and mapping of “safe lines” to avoid Li plating","Onboard early detection and mitigation of lithium plating in fast-charging batteries","In-situ determination of onset lithium plating for safe Li-ion batteries"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Could you help me find papers on electrolyte additive strategies that stabilize the cathode–electrolyte interphase (CEI) for high-nickel layered oxide cathodes (Ni ≥ 80%, e.g., NMC811 or NCA) in lithium-ion batteries, but the studies must not rely on fluorinated solvents (e.g., FEC as a solvent, HFE diluents, or bulk fluorinated co-solvents). The paper must report cycling at high voltage (≥4.3 V) and demonstrate improved capacity retention compared with a baseline carbonate electrolyte, with at least one surface/chemical characterization of the CEI (e.g., XPS, TOF-SIMS, TEM/EELS).","answer":["Tuning additive functionality via a molecular-by-design strategy: Acyl silanes for stable high-nickel cobalt-lean cathodes in lithium-based batteries","Dual electrolyte additives to achieve high-rate cycling performance of lithium-ion batteries with a high nickel cathode","Triphenylphosphine Oxide as Highly Effective Electrolyte Additive for Graphite/NMC811 Lithium Ion Cells","Exploring the Role of an Electrolyte Additive in Suppressing Surface Reconstruction of a Ni-Rich NMC Cathode at Ultrahigh Voltage via Enhanced In Situ and Operando Characterization Methods","Constructing a Low-Impedance Interface on a High-Voltage LiNi0.8Co0.1Mn0.1O2 Cathode with 2,4,6-Triphenyl Boroxine as a Film-Forming Electrolyte Additive for Li-Ion Batteries","Stabilizing Ni-rich LiNi0.8Co0.1Mn0.1O2 cathode by generating ion-conductive polymer coating layer with 1, 3-dioxolane introducing electrolyte for lithium-ion batteries","2-Thiophene sulfonamide (2-TS)-contained multi-functional electrolyte matching high-voltage LiNi0.8Mn0.1Co0.1O2/graphite batteries with enhanced performances","Enhanced cyclic stability of Ni-rich lithium ion battery with electrolyte film-forming additive","Construction of a Stable LiNi0.8Co0.1Mn0.1O2 (NCM811) Cathode Interface by a Multifunctional Organosilicon Electrolyte Additive","Diphenyl diselenide as a bifunctional electrolyte additive in a high-voltage LiNi0.8Mn0.1Co0.1O2/graphite battery"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Materials Science and Engineering"}}
{"question":"Please help me find peer-reviewed papers on nanopore-based single-molecule protein or peptide detectin that use biological nanopores combined with engineered mutations or chemical modifications to improve signal resolution. The studies must report experimental ionic current recordings, explicitly discuss strategies for slowing down protein translocation, and include quantitative performance metrics such as signal-to-noise ratio or event classification accuracy. Review articles and DNA/RNA-only sequencing papers should be excluded. Only paperspublished before November 1, 2025 should be considered.","answer":["Real-time detection of 20 amino acids and discrimination of pathologically relevant peptides with functionalized nanopore","Unambiguous discrimination of all 20 proteinogenic amino acids and their modifications by nanopore","Multi-pass, single-molecule nanopore reading of long protein strands","Unidirectional single-file transport of full-length proteins through a nanopore","Multiple re-reads of single proteins at single-amino-acid resolution using nanopores","Controlled Translocation of Proteins through a Biological Nanopore for Single-Protein Fingerprint Identification","Engineering and Modeling the Electrophoretic Trapping of a Single Protein Inside a Nanopore","Electro-osmotic capture and ionic discrimination of peptide and protein biomarkers with FraC nanopores","Protein identification by nanopore peptide profiling","The Manipulation of the Internal Hydrophobicity of FraC Nanopores Augments Peptide Capture and Recognition","FraC nanopores with adjustable diameter identify the mass of opposite-charge peptides with 44 dalton resolution","Label-Free Detection of Post-translational Modifications with a Nanopore","β-Barrel Nanopores with an Acidic-Aromatic Sensing Region Identify Proteinogenic Peptides at Low pH","Seeing the Invisibles: Detection of Peptide Enantiomers, Diastereomers, and Isobaric Ring Formation in Lanthipeptides Using Nanopores","Protein nanopore reveals the renin–angiotensin system crosstalk with single-amino-acid resolution","Enhanced identification of Tau acetylation and phosphorylation with an engineered aerolysin nanopore","Electrical recognition of the twenty proteinogenic amino acids using an aerolysin nanopore","Aerolysin nanopore-based identification of proteinogenic amino acids using a bipolar peptide probe","Single‐Molecule Study of Peptides with the Same Amino Acid Composition but Different Sequences by Using an Aerolysin Nanopore"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"I am looking for papers onsolid-state or hybrid nanopore sensors for single-moleculedetection that integrate electronic or CMOS-compatiblereadout circuits, but do not focus on DNA sequencing or base-calling tasks. The studies should emphasize signal processing,noise reduction, or on-chip amplification forionic current signals, and include experimental validation with fabricated devices. Papers that only discuss biological nanopores without electronic integration, or purely algorithmic post-processing without hardware implementation, should be excluded. Only papers published before November 1, 2025 should beconsidered.","answer":["A CMOS enhanced solid-state nanopore based single molecule detection platform","Low-noise dual-channel current amplifier for DNA sensing with solid-state nanopores","Nanopore DNA sensors in CMOS with on-chip low-noise preamplifiers","Measurement of DNA Translocation Dynamics in a Solid-State Nanopore at 100 ns Temporal Resolution","Integrated nanopore sensing platform with sub-microsecond temporal resolution","Integration of solid-state nanopores in a 0.5 μm cmos foundry process","Solid-state nanopores integrated with low-noise preamplifiers for high-bandwidth DNA analysis","Dielectric Detection of Single Nanoparticles Using a Microwave Resonator Integrated with a Nanopore","A Scalable Discrete-Time Integrated CMOS Readout Array for Nanopore Based DNA Sequencing"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"I’m building a multi-agent system with LLMs, but coordination among agents is causing scalability issues such as too many back-and-forth messages, high token cost, and latency, and I need papers published between 2022-01-01 and 2025-11-01 that propose communication-efficient multi-agent coordination mechanisms without sacrificing collaboration effectiveness, and that report quantitative evaluations.","answer":["Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems","RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory","Communicating Activations Between Language Model Agents","Adaptive Graph Pruning for Multi-Agent Communication","SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication","AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration","Agent-GSPO: Communication-Efficient Multi-Agent Systems via Group Sequence Policy Optimization","Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication","KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems","Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems","KVComm: Enabling Efficient LLM Communication through Selective KV Sharing","Multi-agent Architecture Search via Agentic Supernet","Improving Multi-Agent Debate with Sparse Communication Topology","G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks","Stochastic Self-Organization in Multi-Agent Systems","AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction","MARS: toward more efficient multi-agent collaboration for LLM reasoning","A Survey of AI Agent Protocols","CodeAgents: A Token-Efficient Framework for Codified Multi-Agent Reasoning in LLMs"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Mathematics"}}
{"question":"Please recommend papers published between 2022-01-01 and 2025-11-01 on communication-efficient coordination mechanisms for LLM-based multi-agent systems, restricting to methods that explicitly reduce inter-agent message volume or context size via structured protocols, hierarchical orchestration, shared memory routing, or pruning, and that report both collaboration quality metrics and efficiency metrics including token usage and latency, with comparisons to multi-agent baselines such as full-connect chat or multi-agent debate.","answer":["Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems","RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory","Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems","Adaptive Graph Pruning for Multi-Agent Communication","SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication","AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration","Agent-GSPO: Communication-Efficient Multi-Agent Systems via Group Sequence Policy Optimization","Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems","G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks","Improving Multi-Agent Debate with Sparse Communication Topology","Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems","Multi-Agent Collaboration via Evolving Orchestration","Stochastic Self-Organization in Multi-Agent Systems","AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems","Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication","A Survey of AI Agent Protocols","Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System","Which LLM Multi-Agent Protocol to Choose?","Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation","CAMPHOR: Collaborative Agents for Multi-input Planning and High-Order Reasoning On Device","Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence","ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs","Chain of Agents: Large Language Models Collaborating on Long-Context Tasks","MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework","Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?","OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Mathematics"}}
{"question":"Please help me find literature on the study of fear of cancer recurrence in patients with colorectal cancer, including cross-sectional studies, longitudinal studies, qualitative studies, and mixed-methods studies.","answer":["Communication and fear of cancer recurrence in colorectal cancer survivors and their partners","Exploring determinants of fear of cancer recurrence in postoperative colorectal cancer patients: a random forest model approach","Serial multiple mediation model of fear of cancer recurrence in patients with colorectal cancer.","Fear of progression among colorectal cancer patients: a latent profile analysis","Colorectal cancer survivorship: a systematic review and thematic synthesis of qualitative research","The Effectiveness of Mindfulness-based Stress Reduction on Fear of Cancer Recurrence in Colorectal and Breast Cancer Patients: A Randomized Controlled …","Afraid and tired: A longitudinal study of the relationship between cancer‐related fatigue and fear of cancer recurrence in long‐term cancer survivors","Fear of progression after cancer recurrence: a mixed methods study","Prevalence vs impact: a mixed methods study of survivorship issues in colorectal cancer","Body image issues in patients with colorectal cancer: a scoping review","Fear of cancer recurrence in long-term colorectal cancer survivors: a nationwide cross-sectional study","Fear of cancer recurrence and associated factors in Chinese patients with colorectal cancer: a cross-sectional study","Validity and screening capacity of the FCR-1r for fear of cancer recurrence in long-term colorectal cancer survivors","Fear of cancer recurrence is associated with higher primary care use after cancer treatment: a survey-administrative health data linkage study","Assessment of Fear of Cancer Recurrence in Patients with Colorectal Cancer and Its Association with Pet Ownership: A Cross-Sectional Study","[Post-Cancer Treatment-Related Symptom Distress and Fear of Cancer Recurrence in Colorectal Cancer Survivors]","It’s not fine: A photo-elicitation study of rectal cancer survivors’ emotions and coping strategies","Understanding colorectal cancer patient follow-up: a qualitative interview study","Fear of Cancer Progression and Health Behaviors in Patients with Colorectal Cancer","Factors associated with fear of cancer recurrence in breast and colorectal cancer survivors: A cross-sectional study of cancer survivors","结直肠癌患者自我表露与复发恐惧的关系：亲密关系与二元应对的链式中介作用","Factors Associated With Fear of Cancer Recurrence in Colorectal Cancer Patients: A Meta-analysis in Health Ecological Perspective","An examination of the relationship of patient modifiable and non-modifiable characteristics with fear of cancer recurrence among colorectal cancer survivors","Quality of life and fear of cancer recurrence in T1 colorectal cancer patients treated with endoscopic or surgical tumor resection","Identifying the unmet needs of post-treatment colorectal cancer survivors: A critical literature review","Health behaviours and fear of cancer recurrence in 10 969 colorectal cancer (CRC) patients","Fear of recurrence in long-term cancer survivors—Do cancer type, sex, time since diagnosis, and social support matter?","Does fear of cancer recurrence differ between cancer types? A study from the population-based PROFILES registry","Factors associated with fear of cancer recurrence in breast and colorectal cancer survivors: A cross‐sectional study of cancer survivors","A systematic review of the supportive care needs of people living with and beyond cancer of the colon and/or rectum","Characterizing surveillance-associated anxiety following curative-intent surgery for gastrointestinal cancer: a mixed methods approach","Initial validation of the Danish version of the Fear of Cancer Recurrence Inventory (FCRI) in colorectal cancer patients","Fear of cancer recurrence among Chinese cancer survivors: Prevalence and associations with metacognition and neuroticism","Fear of cancer recurrence in colorectal cancer survivors","Fear of Cancer Progression and Death Anxiety in Survivors of Advanced Colorectal Cancer: A Qualitative Study Exploring Coping Strategies and Quality of Life","Acceptability, quality of life and cost overview of a remote follow-up plan for patients with colorectal cancer","Fear of cancer recurrence: specific profiles and nature of intrusive thoughts","Perceived diagnostic delay and cancer-related distress: a cross-sectional study of patients with colorectal cancer","The role of metacognition and its indirect effect through cognitive attentional syndrome on fear of cancer recurrence trajectories: A longitudinal study","Exploring and comparing the experience and coping behaviour of men and women with colorectal cancer after chemotherapy treatment: a qualitative longitudinal study","Patient-led home-based follow-up after surgery for colorectal cancer: the protocol of the prospective, multicentre FUTURE-primary implementation study","Patient-reported needs for coping with worry or fear about cancer recurrence and the extent to which they are being met: a survey study","Mental health outcomes during colorectal cancer survivorship: a review of the literature","Follow-up after rectal cancer: developing and testing a novel patient-led follow-up program. Study protocol","Surveillance-Associated Anxiety After Curative-Intent Cancer Surgery: A Systematic Review","The impact of the COVID-19 pandemic on mental health and quality of life in people living with and beyond breast, prostate and colorectal cancer – a qualitative study","Healthcare experiences of people with advanced colorectal cancer: A qualitative study","Patient-Reported Unmet Needs in Colorectal Cancer Survivors After Treatment for Curative Intent","The association of cognitive coping style with patient preferences in a patient-led follow-up study among colorectal cancer survivors","Psychological Resilience, Metacognitions, and Fear of Recurrence Among Cancer Survivors and Family Caregivers"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Papers published within the recent 5 years.\nChinese literature must be published in core journals.\nEnglish literature must be published in SCI/SSCI-indexed journals, excluding journals on the warning list.\nStudies should have a consistent study population, with similar research variables.","answer":["Fear of cancer recurrence in long-term colorectal cancer survivors: a nationwide cross-sectional study","Fear of progression among colorectal cancer patients: a latent profile analysis","Validity and screening capacity of the FCR-1r for fear of cancer recurrence in long-term colorectal cancer survivors","Correlation between fear of cancer recurrence and levels of mindfulness in patients with gastric cancer: mediating effects of couple support","Symptom clusters, fear of disease progression, and quality of life in postoperative gastric cancer patients: a cross-sectional study","Latent Profile Analysis and Influencing Factors of Fear of Progression in Patients after Endoscopic Submucosal Dissection for Early Gastric Cancer","Long-term fear of cancer recurrence in patients treated endoscopically for early Barrett’s neoplasia","It’s not fine: A photo-elicitation study of rectal cancer survivors’ emotions and coping strategies","Psychological and social challenges of patients with locally advanced and metastatic gastrointestinal stromal tumours (GIST) on long-term treatment with tyrosine kinase inhibitors: a qualitative study with patients and medical oncologists","Fear of Cancer Recurrence in peritoneal malignancy patients following treatment: a cross-sectional study","结直肠癌患者癌症恐惧复发现状及与社会支持的相关性研究","Fear of progression among colorectal cancer patients: A latent profile analysis","结直肠癌化疗患者癌症复发恐惧影响因素的纵向研究"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Medicine and Life Sciences","subsubject":"Clinical Medicine"}}
{"question":"Please recommend papers published between 2022-01-01 and 2025-11-01 on communication-efficient coordination or communication mechanisms for LLM-based multi-agent systems (>=2 agents), restricting the results to papers whose author list includes Zhiyuan Liu or Maosong Sun, and that report quantitative efficiency results (e.g., token usage reduction) compared with a natural-language multi-agent baseline.","answer":["Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication","Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System","Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Aerospace Engineering"}}
{"question":"Could you help me find papers published between 2022-01-01 and 2025-11-01 that design a benchmark for evaluating open-web browsing / web-search agents, not for long-form research report writing, but rather for web search questions with relatively definitive short answers that can be verified (e.g., via reference answers)?","answer":["Browsecomp-plus: A more fair and transparent evaluation benchmark of deep-research agent","Webwalker: Benchmarking llms in web traversal","Level-navi agent: A framework and benchmark for chinese web search agents","BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents","BearCubs: A benchmark for computer-using web agents","BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese","MMSearch-Plus: A Simple Yet Challenging Benchmark for Multimodal Browsing Agents","Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoning","REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites","WebLINX: Real-World Website Navigation with Multi-Turn Dialogue"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Aerospace Engineering"}}
{"question":"I'm building an autonomous software engineering agent to resolve GitHub issues, but it wastes too many steps exploring irrelevant files and often commits to poor repair plans too early. Could you recommend papers on repository-level localization, planning, search, or program-analysis methods that make issue-resolution agents more efficient and more accurate on real-world software engineering benchmarks? Please only include papers published before November 1, 2025.","answer":["Improving automated issue resolution via comprehensive repository exploration","How to understand whole software repository","Swe-agent: Agent-computer interfaces enable automated software engineering","When large language models confront repository-level automatic program repair: How well they done?","Codeplan: Repository-level coding using llms and planning","A deep dive into large language models for automated bug localization and repair","Thinkrepair: Self-directed automated program repair","Sealign: Alignment training for software engineering agent","Unified software engineering agent as ai software engineer","Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration","AutoCodeRover: Autonomous Program Improvement","Issue Localization via LLM-Driven Iterative Code Graph Searching","RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving","Enhancing Fault Localization Through Ordered Code Analysis with LLM Agents and Self-Reflection","SpecRover: Code Intent Extraction via LLMs","Enhancing repository-level software repair via repository-aware knowledge graphs","OrcaLoca: An LLM Agent Framework for Software Issue Localization","Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models","LocAgent: Graph-Guided LLM Agents for Code Localization","Agentless: Demystifying LLM-based Software Engineering Agents","CodeR: Issue Resolving with Multi-Agent and Task Graphs","Prometheus: Towards Long-Horizon Codebase Navigation for Repository-Level Problem Solving","SWE-Exp: Experience-Driven Software Issue Resolution","SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement","SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution","PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification","TDFlow: Agentic Workflows for Test Driven Development","Training Software Engineering Agents and Verifiers with SWE-Gym","R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents","Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents","AgentFL: Scaling LLM-based Fault Localization to Project-Level Context","ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs","Evaluating Agent-based Program Repair at Google","CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges","Self-collaboration Code Generation via ChatGPT","Enhancing LLM-Based Automated Program Repair with Design Rationales","RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph","Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models","Guiding Language Models of Code with Global Context using Monitors","ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code","Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement","RESTORE: Retrospective Fault Localization Enhancing Automated Program Repair","Applied Sciences, Vol. 13, Pages 8519: Code Similarity and Location-Awareness Automatic Program Repair","CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases","RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair","SWE-bench-java: A GitHub Issue Resolving Benchmark for Java","R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models","Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework","Extracting Conceptual Knowledge to Locate Software Issues","Harnessing Evolution for Multi-Hunk Program Repair","RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems","SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmer","Knowledge Graph Based Repository-Level Code Generation","Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion","Guided Search Strategies in Non-Serializable Environments with Applications to Software Engineering Agents","Dynamic Benchmark Construction for Evaluating Large Language Models on Real-World Codes","Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion","Learning Syntactic Program Transformations from Examples"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Civil Engineering"}}
{"question":"Could you help me find papers on scientific literature search, academic paper retrieval, or question answering over scientific papers that were published in ACL 2024 or EMNLP 2024 proceedings (including Findings)? I am especially interested in benchmarks, datasets, and retrieval or indexing methods for scholarly search.","answer":["LitSearch: A Retrieval Benchmark for Scientific Literature Search","M3SCIQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models","Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature","CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support","Taxonomy-guided Semantic Indexing for Academic Paper Search","SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation","DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer’s Disease Questions with Scientific Literature","Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models","Referral Augmentation for Zero-Shot Information Retrieval","SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers"],"source_meta":{"published_time":"20251101"},"subject_meta":{"subject":"Engineering and Technology","subsubject":"Civil Engineering"}}
{"question":"Please help me find papers on Higgs boson production in association with W boson, or closely related VH production with a clear WH component, at the LHC with 13 TeV Run 2 data and measured by the ATLAS or CMS collaborations. Prefer studies that discuss background estimation or modeling and compare results with Standard Model predictions, even if the abstract does not explicitly state NLO QCD accuracy.","answer":["Study of High-Transverse-Momentum Higgs Boson Production in Association with a Vector Boson in the $ qqbb $ Final State with the ATLAS Detector","Measurements of WH and ZH production in the H → bb¯ decay channel in pp collisions at 13 TeV with the ATLAS detector","Measurements of WH and ZH production with Higgs boson decays into bottom quarks and direct constraints on the charm Yukawa coupling in 13 TeV pp collisions with the ATLAS detector","Measurement of the associated production of a Higgs boson decaying into b-quarks with a vector boson at high transverse momentum in pp collisions at s=13 TeV with the ATLAS detector","Measurements of the Higgs boson production cross section and couplings in the W boson pair decay channel in proton-proton collisions at sqrt(s)=13 TeV","Measurements of the production cross-sections of a Higgs boson in association with a vector boson and decaying into WW* with the ATLAS detector at √s = 13 TeV","Measurement of simplified template cross sections of the Higgs boson produced in association with W or Z bosons in the H → b b̄ decay channel in proton-proton collisions at √s = 13 TeV","Measurement of the associated production of a Higgs boson decaying into b-quarks with a vector boson at high transverse momentum in pp collisions at √s = 13 TeV with the ATLAS detector","Measurement of VH, H→b b̄ production as a function of the vector-boson transverse momentum in 13 TeV pp collisions with the ATLAS detector","Observation of H → b b̄ decays and VH production with the ATLAS detector","Observation of Higgs boson decay to bottom quarks","Measurement of the production cross section for a Higgs boson in association with a vector boson in the H → WW* → ℓνℓν channel in pp collisions at √s = 13 TeV with the ATLAS detector","Measurement of simplified template cross sections of the Higgs boson produced in association with W or Z bosons in the H $\\to$ $\\mathrm{b\\bar{b}}$ decay channel in proton-proton collisions at $\\sqrt{s}$ = 13 TeV","Search for Higgs boson decay to a charm quark-antiquark pair in proton-proton collisions at $\\sqrt{s}$ = 13 TeV","Determination of the relative sign of the Higgs boson couplings to $W$ and $Z$ bosons using $WH$ production via vector-boson fusion with the ATLAS detector","Study of WH production through vector boson scattering and extraction of the relative sign of the W and Z couplings to the Higgs boson in proton-proton collisions at $\\sqrt{s}$ = 13 TeV","Measurements of the Higgs boson production cross section and couplings in the W boson pair decay channel in proton-proton collisions at $\\sqrt{s}$ = 13 TeV"],"source_meta":{"published_time":""},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Physics"}}
{"question":"Please help me find papers on two-dimensional van der Waals ferromagnetic materials that study the anomalous Hall effect through low-temperature electronic transport measurements, and preferably analyze intrinsic Berry-curvature-related mechanisms, even if the paper does not explicitly use first-principles DFT.","answer":["Anomalous Hall effect induced by Berry curvature in the topological nodal-line van der Waals ferromagnet","Large anomalous Hall current induced by topological nodal lines in a ferromagnetic van der Waals semimetal","Spin-reorientation driven emergent phases and unconventional magnetotransport in quasi-2D vdW ferromagnet Fe4GeTe2","Microscopic mechanisms of Strong Electron Scattering and Giant Anomalous Hall Effect in high-Curie-temperature Fe3GaTe2 van der Waals Films","Anomalous Hall effect induced by Berry curvature in topological nodal-line van der Waals ferromagnet Fe4GeTe2","Pressure tuning of intrinsic and extrinsic sources to the anomalous Hall effect in CrGeTe3 as a function of pressure","Disorder driven crossover between anomalous Hall regimes in Fe$_3$GaTe$_2$","Hard ferromagnetism in van der Waals Fe 3 GaTe 2 nanoflake down to monolayer","Anomalous Hall and Nernst effects in the Two-Dimensional ferromagnetic metal FePd2Te2","Pressure-induced large anomalous Hall effects in a layered ferromagnet CrSiTe 3","ZrTe2/CrTe2: an epitaxial van der Waals platform for spintronics","Unusual Anomalous Hall Effect in Two-Dimensional Ferromagnetic Cr7Te8","Unusual magnetotransport and anomalous Hall effect in quasi-two-dimensional van der Waals ferromagnet Fe$_4$GeTe$_2$"],"source_meta":{"published_time":""},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Physics"}}
{"question":"Please help me find papers on repeating fast radio bursts (FRBs) that use polarization observations to constrain the magnetospheric environment of the source, and discuss their connection with magnetar progenitor models. CHIME-based studies are preferred, but other polarization observations are also acceptable.","answer":["Revealing the dynamic magnetoionic environments of repeating fast radio burst sources through multiyear polarimetric monitoring with CHIME/FRB","A large-scale magneto-ionic fluctuation in the local environment of periodic fast radio burst source FRB 20180916B","Emission Properties of Periodic Fast Radio Bursts from the Motion of Magnetars: Testing Dynamical Models","Fast radio burst source properties from polarization measurements","An extreme magneto-ionic environment associated with the fast radio burst source FRB 121102","Polarization Angle Orthogonal Jumps in Fast Radio Bursts"],"source_meta":{"published_time":""},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Physics"}}
{"question":"Please help me find papers on ultracold strontium optical lattice atomic clocks that discuss blackbody radiation shifts, including uncertainty evaluation, correction, or related analysis, together with experimental frequency measurements and comparison with theoretical shift calculations.","answer":["A strontium lattice clock with reduced blackbody radiation shift","A cryogenic strontium lattice clock","Transportable strontium lattice clock with 4 × 10^-19 blackbody radiation shift uncertainty","Cryogenic optical lattice clocks","Cryogenic optical lattice clocks with a relative frequency difference of $1\\times 10^{-18}$","Systematic evaluation of an atomic clock at 2 × 10−18 total uncertainty","JILA SrI Optical Lattice Clock with Uncertainty of $2.0 \\times 10^{-18}$","A strontium lattice clock with $3 \\times 10^{-17}$ inaccuracy and its frequency","An Optical Lattice Clock with Accuracy and Stability at the $10^{-18}$ Level","Geodesy and metrology with a transportable optical clock","Realization of a time-scale with an accurate optical lattice clock","Optical to microwave clock frequency ratios with a nearly continuous strontium optical lattice clock","Frequency ratios of Sr, Yb and Hg based optical lattice clocks and their applications"],"source_meta":{"published_time":""},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Physics"}}
{"question":"I'm analyzing decay data from the BESIII experiment to search for signals of charged lepton flavor violation, but large hadronic backgrounds make it hard to distinguish new physics signals from standard model processes. Can you recommend papers with effective methods for background rejection and signal extraction in charmonium weak decay studies?","answer":["Search for the Charged Lepton Flavor Violating Decay J/psi-> e tau","Search for the charged lepton flavor violating decay","Search for the charmonium weak decay","Measurement of the singly Cabibbo-suppressed decay with Deep Learning","Search for the rare semi-leptonic decay J/ψ→D−e+νe + c.c.","Search for the charged lepton flavor violating decay $J/\\psi\\to e\\tau$","Search for the semi-muonic charmonium decay $J/\\psi\\to D^{-}\\mu^{+}\\nu_{\\mu}+c.c.$"],"source_meta":{"published_time":""},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Physics"}}
{"question":"I'm investigating the quantum anomalous Hall effect in magnetic-doped topological-insulator thin films, including Bi2Se3, (Bi,Sb)2Te3, and closely related systems, where defects and interface scattering lead to poor quantization at low temperatures. Can you recommend papers with strategies to improve sample quality and enhance the quantum anomalous Hall effect?","answer":["Magnetic modulation doping in topological insulators toward higher-temperature quantum anomalous Hall effect","Enhancing the quantum anomalous Hall effect by magnetic codoping in a topological insulator","Thickness Dependence of the Quantum Anomalous Hall Effect in Magnetic Topological Insulator Films","Observation of superparamagnetism in coexistence with quantum anomalous Hall C=±1 and C=0 Chern states","Quantum anomalous Hall effect driven by magnetic proximity coupling in all-telluride based heterostructure","Quantum anomalous Hall effect for metrology","Quantized anomalous Hall resistivity achieved in molecular beam epitaxy-grown MnBi2Te4 thin films","High temperature, gate-free quantum anomalous Hall effect with an active capping layer","From classical to quantum regime of topological surface states via defect engineering"],"source_meta":{"published_time":""},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Physics"}}
{"question":"I'm trying to classify the formation channels of gravitational-wave binary black hole mergers, but traditional statistical methods fail to reveal hidden subpopulations in noisy observational data. Can you recommend papers that use unsupervised machine learning or other data-driven nonparametric methods to analyze binary black hole population origins?","answer":["Data-Driven Trends and Subpopulations in the Gravitational Wave Binary Black Hole Merger Population with UMAP","Unmodelled clustering methods for gravitational wave populations of compact binary mergers","Nonparametric inference of the population of compact binaries from gravitational-wave observations using binned gaussian processes","The Emergence of Structure in the Binary Black Hole Mass Distribution","A Parameter-Free Tour of the Binary Black Hole Population","Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers","PixelPop: High Resolution Nonparameteric Inference of Gravitational-Wave Populations in Multiple Dimensions","Evidence for the evolution of black hole mass function with redshift","(H)DPGMM: A Hierarchy of Dirichlet Process Gaussian Mixture Models for the inference of the black hole mass function","Flexible and Fast Estimation of Binary Merger Population Distributions with Adaptive KDE","Binary vision: The merging black hole binary mass distribution via iterative density estimation","Cover Your Basis: Comprehensive Data-Driven Characterization of the Binary Black Hole Population","Exploring the evolution of gravitational-wave emitters with efficient emulation: Constraining the origins of binary black holes using normalising flows","Searching for Binary Black Hole Subpopulations in Gravitational-wave Data Using Binned Gaussian Processes","Constraining Population III stellar demographics with next-generation gravitational-wave observatories","Resolving the Stellar-Collapse and Hierarchical-Merger origins of the Coalescing Black Holes","Cosmic Cousins: Identification of a Subpopulation of Binary Black Holes Consistent with Isolated Binary Evolution","Searching for structure in the binary black hole spin distribution","Exploration of features in the black hole mass spectrum inspired by non-parametric analyses of gravitational wave observations","Seeking Spinning Subpopulations of Black Hole Binaries via Iterative Density Estimation","Exploring Features in the Binary Black Hole Population"],"source_meta":{"published_time":""},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Physics"}}
{"question":"I'm focusing on quantum entanglement generation using ultracold polar molecules, but dipole-dipole interactions and environmental decoherence strongly reduce entanglement fidelity. Can you recommend papers with experimental and theoretical schemes to stabilize entanglement in such systems?","answer":["iSWAP gate with polar molecules: Robustness criteria for entangling operations","Entanglement and iSWAP gate between molecular qubits","Robust nuclear spin entanglement via dipolar interactions in polar molecules","Long-lived entanglement of molecules in magic-wavelength optical tweezers","End-to-end entanglement in a polar-molecule array under intrinsic decoherence","Robust entangling gate for polar molecules using magnetic and microwave fields","Dynamical generation of spin squeezing in ultracold dipolar molecules","The iSWAP gate with polar molecules: Robustness criteria for entangling operations","A robust entangling gate for polar molecules using magnetic and microwave fields","Dipolar Exchange Quantum Logic Gate with Polar Molecules","Quantum computation in a hybrid array of molecules and Rydberg atoms","Sub-millisecond Entanglement and iSWAP Gate between Molecular Qubits","Infrared-dressed entanglement of cold open-shell polar molecules for universal matchgate quantum computing"],"source_meta":{"published_time":""},"subject_meta":{"subject":"Fundamental Sciences","subsubject":"Physics"}}