Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning


Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory


KAIROS: Scalable Model-Agnostic Data Valuation


A Theoretical Study on Bridging Internal Probability and
  Self-Consistency for LLM Reasoning


Understanding Differential Transformer Unchains Pretrained Self-Attentions


Test-Time Scaling of Diffusion Models via Noise Trajectory Search


CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding


Learning to Insert for Constructive Neural Vehicle Routing Solver


The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control


Model Informed Flows for Bayesian Inference of Probabilistic Programs


Abstract Counterfactuals for Language Model Agents


Counterfactual reasoning: an analysis of in-context emergence


Direct Fisher Score Estimation for Likelihood Maximization


Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning


Continuous Concepts Removal in Text-to-image Diffusion Models


Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models


Generating Computational Cognitive models using Large Language Models


VERA: Variational Inference Framework for Jailbreaking Large Language Models


A Controllable Examination for Long-Context Language Models


ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos


Latent Space Factorization in LoRA


VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank


Learning Repetition-Invariant Representations for Polymer Informatics


Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations


MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs


What Really is a Member? Discrediting Membership Inference via Poisoning


TopER: Topological Embeddings in Graph Representation Learning


Distillation Robustifies Unlearning


Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling


Revisiting LRP: Positional Attribution as the Missing Ingredient for   Transformer Explainability


AdaSPEC: Selective Knowledge Distillation for Efficient Speculative
  Decoders


MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO


Random Long-Context Access for Mamba via Hardware-aligned Hierarchical
  Sparse Attention


FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies


AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical
  Guarantees


ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding


Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers


Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models


Availability-aware Sensor Fusion via Unified Canonical Space


Global Minimizers of Sigmoid Contrastive Loss


Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research


BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading


Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings


Anchored Diffusion Language Model


ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation


Private Statistical Estimation via Truncation


AdvPrefix: An Objective for Nuanced LLM Jailbreaks


Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning


MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants


RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion


Conformal Information Pursuit for Interactively Guiding Large Language
  Models


Meta-learning how to Share Credit among Macro-Actions


Multiplayer Federated Learning: Reaching Equilibrium with Less Communication


Neither Valid nor Reliable? Investigating the Use of LLMs as Judges


Improved Scaling Laws in Linear Regression via Data Reuse


Learning from Demonstrations via Capability-Aware Goal Sampling


MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?


Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs


SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer


Seeing the Arrow of Time in Large Multimodal Models


Non-equilibrium Annealed Adjoint Sampler


Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation


Scaling Law with Learning Rate Annealing


Contextual Thompson Sampling via Generation of Missing Data


Learning to price with resource constraints: from full information to machine-learned prices


ParetoQ: Scaling Laws in Extremely Low-bit LLM Quantization


Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators


Inductive Domain Transfer In Misspecified Simulation-Based Inference


FlexDiT: Dynamic Token Density Control for Diffusion Transformer


AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners


Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity


Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift


Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints


Protocols for Verifying Smooth Strategies in Bandits and Games


TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios


Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data


Go With the Flow: Fast Diffusion for Gaussian Mixture Models


Precise Information Control in Long-Form Text Generation


KLASS: KL-Guided Fast Inference in Masked Diffusion Models


RayFusion: Ray Fusion Enhanced Collaborative Visual Perception


GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains


DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection


Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm


Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning


Improved Training Technique for Shortcut Models


Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning


Scaffolding Dexterous Manipulation with Vision-Language Models


Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting


Do LLMs Really Forget? Evaluating Unlearning  with Knowledge Correlation and Confidence Awareness


BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks


Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time


Risk-Averse Total-Reward Reinforcement Learning


PocketSR: The Super-Resolution Expert in Your Pocket Mobiles


ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation


Non-Clairvoyant Scheduling with Progress Bars


PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to   Graphs


Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations


PhysX: Physical-Grounded 3D Asset Generation


Bayesian Concept Bottleneck Models with LLM Priors


ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism


Flow-Based Policy for Online Reinforcement Learning


From Bytes to Ideas: Language Modeling with Autoregressive U-Nets


LLM Safety Alignment is Divergence Estimation in Disguise


Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs


A Practical Guide for Incorporating Symmetry in Diffusion Policy


LLM Query Scheduling with Prefix Reuse and Latency Constraints


PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation


Beyond Scores: Proximal Diffusion Models


Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO


Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation


AutoJudge: Judge Decoding Without Manual Annotation


Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go


Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning


Diversity-Aware Policy Optimization for Large Language Model Reasoning


VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning


Statistical Guarantees for High-Dimensional Stochastic Gradient Descent


CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target
  for Better Flow Matching


FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models


HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis


A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers


SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought


NavBench: Probing Multimodal Large Language Models for Embodied
  Navigation


AION-1: Omnimodal Foundation Model for Astronomical Sciences


Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models


Born a Transformer -- Always a Transformer?


Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding


GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient   Fine-Tuning


VideoVLA: Video Generators Can Be Generalizable Robot Manipulators


GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents


Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features


Random Forest Autoencoders for Guided Representation Learning


Taxonomy of reduction matrices for Graph Coarsening


Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought


Learning Dynamics of RNNs in Closed-Loop Environments


Privacy amplification by random allocation


Adaptive Data Analysis for Growing Data


EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition


Noise Consistency Training: A Native Approach for One-Step Generator in   Learning Additional Controls


Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization


Scalable Policy-Based RL Algorithms for POMDPs


Stable Matching with Ties: Approximation Ratios and Learning


Training the Untrainable: Introducing Inductive Bias via Representational Alignment


How many measurements are enough? Bayesian recovery in inverse problems with general distributions


HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis


SWE-smith: Scaling Data for Software Engineering Agents


Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark


Continuous Diffusion Model for Language Modeling


Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization


RelationAdapter: Learning and Transferring Visual Relation with   Diffusion Transformers


SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications


OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning


CPO: Condition Preference Optimization for Controllable Image Generation


Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent   Approach


MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large
  Language Model Inference


Scaling Laws For Scalable Oversight


UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights


Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking


Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining


HOComp: Interaction-Aware Human-Object Composition


AlignedGen: Aligning Style Across Generated Images


Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning


Size-adaptive Hypothesis Testing for Fairness


AgentTTS: Large Language Model Agent for Test-time Compute-optimal   Scaling Strategy in Complex Tasks


Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical
  Image Segmentation


ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis


Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies


Formal Models of Active Learning from Contrastive Examples


PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference


Information-Driven Design of Imaging Systems


BNMusic: Blending Environmental Noises into Personalized Music


Video-R1: Reinforcing Video Reasoning in MLLMs


MIRA: Medical Time Series Foundation Model for Real-World Health Data


Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds


ROOT: Rethinking Offline Optimization as Distributional Translation via
  Probabilistic Bridge


Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework


The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition


Improving Decision Trees through the Lens of Parameterized Local Search


JAFAR: Jack up Any Feature at Any Resolution


Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation


Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning


Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling


Salient Concept-Aware Generative Data Augmentation


BitMark for Infinity: Watermarking Bitwise Autoregressive Image Generative Models


SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment


Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism


Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution


SnapMoGen: Human Motion Generation from Expressive Texts


Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders


Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models


Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search


SeniorTalk: A Chinese Conversation Dataset with Rich Annotations for Super-Aged Seniors


BlockScan: Detecting Anomalies in Blockchain Transactions


CSGO: Content-Style Composition in Text-to-Image Generation


FlashMoE: Fast Distributed MoE in a Single Kernel


PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning


Test3R: Learning to Reconstruct 3D at Test Time


Neural-Driven Image Editing


Homogeneous Algorithms Can Reduce Competition in Personalized Pricing


Robust learning of halfspaces under log-concave marginals


Reverse Engineering Human Preferences with Reinforcement Learning


Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation


4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming


MergeBench: A Benchmark for Merging Domain-Specialized LLMs


FORLA:Federated Object-centric Representation Learning with Slot Attention


Backdoor Mitigation via Invertible Pruning Masks


SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond


Theoretical Analysis of KL-regularized RLHF with Multiple Reference Models


Unveiling the Role of Learning‑Rate Schedules via Functional Scaling Laws


Policy Optimized Text-to-Image Pipeline Design


UFT: Unifying Supervised and Reinforcement Fine-Tuning


Revealing Multimodal Causality with Large Language Models


Strategyproof Reinforcement Learning from Human Feedback


Is Grokking a Computational Glass Relaxation?


Rao-Blackwellised Reparameterisation Gradients


STACI: Spatio-Temporal Aleatoric Conformal Inference


Better Training Data Attribution via Better Inverse Hessian-Vector Products


Sherlock: Self-Correcting Reasoning in Vision-Language Models


CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic


GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior


Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules


InfoSteer: Steering Information Utility in Language Model Post-Training


Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model


When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective


FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model


Enhancing Training Data Attribution with Representational Optimization


Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling


IndustryEQA: Pushing the Frontiers of Embodied Question Answering in
  Industrial Scenarios


A Stochastic Interpolant-based Framework for Data Assimilation


Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach


LeVo: High-Quality Song Generation with Multi-Preference Alignment


Large Language Models Think Too Fast To Explore Effectively


Mitigating Overthinking in Large Reasoning Models via Manifold Steering


KScope: A Framework for Characterizing the Knowledge Status of Language
  Models


Accelerated Evolving Set Processes for Local PageRank Computation


FlexSelect: Flexible Token Selection for Efficient Long Video Understanding


BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning


Thinker: Learning to Think Fast and Slow


REArtGS: Reconstructing and Generating Articulated Objects via 3D
  Gaussian Splatting with Geometric and Motion Constraints


UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection


Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach


Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals


Spatial Understanding from Videos: Structured Prompts Meet Simulation Data


DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases


Cost-Efficient Serving of LLM Agents via Test-Time Plan Caching


SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data


Searching Latent Program Spaces


Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations


GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments


Backward Conformal Prediction


Reasoning Models Better Express Their Confidence


Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning


Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression


CoP: Agentic Red-teaming for Large Language Models using Composition of
  Principles


Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning


Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs


Contextual Integrity in LLMs via Reasoning and Reinforcement Learning


X-Scene: Large-Scale Driving Scene Generation with High Fidelity and
  Flexible Controllability


Glocal Information Bottleneck for Time Series Imputation


MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans


Restricted Spectral Gap Decomposition for Simulated  Tempering Targeting Mixture Distributions


APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction


Learning 3D Persistent Embodied World Models


LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?


Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules


Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime


Bayes optimal learning of attention-indexed models


When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration


Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs


Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions


Absolute Zero: Reinforced Self-play Reasoning with Zero Data


Probabilistic Token Alignment for Large Language Model Fusion


EDELINE: Enhancing Memory in Diffusion-based World Models via
  Linear-Time Sequence Modeling


Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning


MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation


Flux4D: Flow-based Unsupervised 4D Reconstruction


SciArena: An Open Evaluation Platform for Foundation Models in   Scientific Literature Tasks


EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths


Differentiable extensions with rounding guarantees for combinatorial optimization over permutations


ShiQ: Bringing back Bellman to LLMs


Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits


OmniGaze: Reward-inspired Generalizable Gaze Estimation In The Wild


Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling


Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation


CoFFT: Chain of Foresight-Focus Thought for Visual Language Models


Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization


ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning


RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving


Preference Distillation via Value based Reinforcement Learning


Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels


Dual Data Alignment Makes AI-Generated Image Detector Easier
  Generalizable


Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm


Exploring Translation Mechanism of Large Language Models


Spike-timing-dependent Hebbian learning as noisy gradient descent


Compiler Optimization via LLM Reasoning for Efficient Model Serving


Reinforced Context Order Recovery for Adaptive Reasoning and Planning


Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo


Robust Estimation Under Heterogeneous Corruption Rates


Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods


Multimodal Tabular Reasoning with Privileged Structured Information


Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark


On the Coexistence and Ensembling of Watermarks


The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning


Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling


AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems


Token Bottleneck: One Token to Remember Dynamics


Constrained Posterior Sampling: Time Series Generation with Hard Constraints


AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?


A*-Thought: Efficient Reasoning via Bidirectional Compression for
  Low-Resource Settings


Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling


MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants


Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models


Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long   Generation


Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems


A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random


Sharp Analysis for KL-Regularized Contextual Bandits and RLHF


Universal Sequence Preconditioning


Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation


DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling


Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation


FoGE: Fock Space inspired encoding for graph prompting


Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis


UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting


Differentiation Through Black-Box Quadratic Programming Solvers


Rethinking Losses for Diffusion Bridge Samplers


DIPO: Dual-State Images Controlled Articulated Object Generation Powered
  by Diverse Data


Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning


MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly


GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface
  Reconstruction


Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum


VIBE: Video-to-Text Information Bottleneck Evaluation for TL;DR


Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems


Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs
  Against English Varieties


Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve


Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data


Machine Unlearning under Overparameterization


UFM: A Simple Path towards Unified Dense Correspondence with Flow


Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs


The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization


Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death


Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Robot Learning


In the Eye of MLLM: Benchmarking Egocentric Video Intent Understanding
  with Gaze-Guided Prompting


ARIA: Training Language Agents with Intention-Driven Reward Aggregation


MindJourney: Test-Time Scaling with World Models for Spatial Reasoning


PAC Bench: Do Foundation Models Understand Prerequisites for Executing
  Manipulation Policies?


TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability


Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning


Energy-based generator matching: A neural sampler for general state space


RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills


AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning


Auto-Compressing Networks


An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds


Consistent Story Generation: Unlocking the Potential of Zigzag Sampling


Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection


RADAR: Benchmarking Language Models on Imperfect Tabular Data


InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition


BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model


Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity


TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks


Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training


Towards Reliable and Holistic Visual In-Context Learning Prompt Selection


Vid-SME: Membership Inference Attacks against Large Video Understanding Models


Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning


Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers


Noise-Robustness Through Noise: Asymmetric LoRA Adaption with Poisoning Expert


Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness


Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions


A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity


Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms


Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs


CORAL: Disentangling Latent Representations in Long-Tailed Diffusion


LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery


Exact Expressive Power of Transformers with Padding


Self-Improving Embodied Foundation Models


Video Perception Models for 3D Scene Synthesis


Axial Neural Networks for Dimension-Free Foundation Models


FRAM:  Frobenius-Regularized Assignment Matching with Mixed-Precision Computing


SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines


Distributional Autoencoders Know the Score


Connecting Neural Models Latent Geometries with Relative Geodesic Representations


Who Reasons in the Large Language Models?


Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference


D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction


Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality
  and Model Performance


CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension


ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS


Greed is Good: A Unifying Perspective on Guided Generation


Titans: Learning to Memorize at Test Time


Estimation of Treatment Effects in Extreme and Unobserved Data


V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception


H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting


OmniSVG: A Unified Scalable Vector Graphics Generation Model


VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning


Aligning Compound AI Systems via System-level DPO


Functional Complexity-adaptive Temporal Tensor Decomposition


StarTrail: Concentric Ring Parallelism for Efficient Near-Infinite-Context Transformer Model Training


T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning


Self-Challenging Language Model Agents


GoRA: Gradient-driven Adaptive Low Rank Adaptation


Checklists Are Better Than Reward Models For Aligning Language Models


Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video
  Generation


Understanding and Rectifying Safety Perception Distortion in VLMs


On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning


A Topic-level Self-Correctional Approach to Mitigate Hallucinations in MLLMs


Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems


HyperMARL: Adaptive Hypernetworks for Multi-Agent RL


Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models


Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations


Semi-infinite Nonconvex Constrained Min-Max Optimization


Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context


HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models


Unveiling Chain of Step Reasoning for Vision-Language Models with
  Fine-grained Rewards


Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix


Imagined Autocurricula


NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods


Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning


InstanceAssemble: Layout-Aware Image Generation via Instance Assembling
  Attention


Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval


Understanding Adam Requires Better Rotation Dependent Assumptions


SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex
  3D Scenes


SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation


Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO


OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions


ViSpec: Accelerating Vision-Language Models with Vision-Aware
  Speculative Decoding


Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers


CLEVER: A Curated Benchmark for Formally Verified Code Generation


Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering


From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling


Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model


Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function


Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting


Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration


Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent


SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning
  with LLM-Based Agents


SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks


LittleBit: Ultra Low-Bit Quantization via Latent Factorization


Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks


Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning


Flow Matching Neural Processes


GRIT: Teaching MLLMs to Think with Images


Non-convex entropic mean-field optimization via Best Response flow


SimpleStrat: Diversifying Language Model Generation with Stratification


MLE-STAR: Machine Learning Engineering Agent via Search and Targeted
  Refinement


Foundations of Top-$k$ Decoding For Language Models


EgoExoBench: A Benchmark for First- and Third-person View Video
  Understanding in MLLMs


Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing


Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval


Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning


Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training


Angular Constraint Embedding via SpherePair Loss for Constrained Clustering


Learning to Reason under Off-Policy Guidance


Second-Order Convergence in Private Stochastic Non-Convex Optimization


GreenHyperSpectra: A multi-source hyperspectral dataset for global
  vegetation trait prediction


Real-World Reinforcement Learning of Active Perception Behaviors


Antidistillation Sampling


Aligning Transformers with Continuous Feedback via Energy Rank Alignment


Low-Rank Head Avatar Personalization with Registers


STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization


Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models


Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference


Synthetic-Powered Predictive Inference


Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning


MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research


Safely Learning Controlled Stochastic Dynamics


The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation


Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought


PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models


Dense Associative Memory with Epanechnikov Energy


Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning


Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling


Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise


NPN: Non-Linear Projections of the Null Space for Imaging Inverse Problems


SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation


SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement


Learning Juntas under Markov Random Fields


HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs


SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem


Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder


Parallel Scaling Law for Language Models


SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing


VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal
  Reasoning by Iterative Perception


RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning


Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference


On the VC dimension of deep group convolutional neural networks


Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning


Knowledge Distillation Detection for Open-weights Models


GoalLadder: Incremental Goal Discovery with Vision-Language Models


Redundancy-Aware Test-Time Graph Out-of-Distribution Detection


Conditioning Matters:  Training Diffusion Policies is Faster Than You Think


The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning


InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion


FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA


FHGS: Feature-Homogenized Gaussian Splatting


Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA


WebThinker: Empowering Large Reasoning Models with Deep Research Capability


Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers


Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism


Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation


MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction


Tight Lower Bounds and Improved Convergence in Performative Prediction


Learning Dense Hand Contact Estimation from Imbalanced Data


Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction


Block-Biased Mamba for Long-Range Sequence Processing


RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic
  Manipulation Evaluation


Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?


OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models


Towards Pre-trained Graph Condensation via Optimal Transport


WebDancer: Towards Autonomous Information Seeking Agency


STARFlow: Scaling Latent Normalizing Flows for High-resolution Image   Synthesis


Multiresolution Analysis and Statistical Thresholding on Dynamic Networks


Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere


Fully Spiking Neural Networks for Unified Frame-Event Object Tracking


Reasoning Planning for Language Models


Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning


Optimism Without Regularization: Constant Regret in Zero-Sum Games


Probing Equivariance and Symmetry Breaking in Convolutional Networks


Constrained Linear Thompson Sampling


ComPO: Preference Alignment via Comparison Oracles


DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning


Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens


RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering


RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of
  Relational Databases


Balancing Performance and Costs in Best Arm Identification


Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables


Mind the Gap: Removing the Discretization Gap in Differentiable Logic
  Gate Networks


Bridging Theory and Practice in Link Representation with Graph Neural Networks


OrdShap: Feature Position Importance for Sequential Black-Box Models


Reinforcement Learning for Reasoning in Large Language Models with One Training Example


Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive


Gemstones: A Model Suite for Multi-Faceted Scaling Laws


MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM


Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks


Less Greedy Equivalence Search


HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data


Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification


On Agnostic PAC Learning in the Small Error Regime


Thought Communication in Multiagent Collaboration


Activation-Guided Consensus Merging for Large Language Models


What are you sinking? A geometric approach on attention sink


Convergence Rates of Constrained Expected Improvement


FastVID: Dynamic Density Pruning for Fast Video Large Language Models


DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling


Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models


NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables


Emergent Temporal Correspondences from Video Diffusion Transformers


Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy


Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble


OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement


Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs


SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning


From Euler to AI: Unifying Formulas for Mathematical Constants


R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing


Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning


Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables


Act Only When It Pays: Efficient Reinforcement Learning for LLM
  Reasoning via Selective Rollouts


Transition Matching: Scalable and Flexible Generative Modeling


DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing


SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning


Robust Minimax Boosting with Performance Guarantees


Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning


Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control


Generative Perception of Shape and Material from Differential Motion


Semi-off-Policy Reinforcement Learning for Vision-Language Slow-thinking   Reasoning


Scalable Fingerprinting of Large Language Models


nvBench 2.0: A Benchmark for Natural Language to Visualization under Ambiguity


KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference


Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment


MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE


RLVR-World: Training World Models with Reinforcement Learning


SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization


Informed Correctors for Discrete Diffusion Models


Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology


Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions


Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration


GRIFFIN: Effective Token Alignment for Faster Speculative Decoding


Regularized least squares learning with heavy-tailed noise is minimax optimal


LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions


OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions


EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving


PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models


The Computational Complexity of Counting Linear Regions in ReLU Neural Networks


Learning Principles from Multi-modal Human Preference


Variational Task Vector Composition


UniPixel: Unified Object Referring and Segmentation for Pixel-Level
  Visual Reasoning


Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs


KVFlow: Efficient Prefix Caching for Accelerating LLM-based Multi-Agent Workflows


Wavy Transformer


SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications


FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes


Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling


Inferring stochastic dynamics with growth from cross-sectional data


The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning


SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models


Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model


Benign Overfitting in Single-Head Attention


ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning


SkyLadder: Better and Faster Pretraining via Context Window Scheduling


WolBanking77: Wolof Banking Speech Intent Classification Dataset


Guided Diffusion Sampling on Function Spaces with Applications to PDEs


Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees


BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization


Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training


Detecting High-Stakes Interactions with Activation Probes


LLM-PySC2: Starcraft II learning environment for Large Language Models


Depth-Bounds for Neural Networks via the Braid Arrangement


Composing Linear Layers from Irreducibles


Adjusted Count Quantification Learning on Graphs


Universal Visuo-Tactile Video Understanding for Embodied Interaction


A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics


A Unified Solution to Video Fusion: From Multi-Frame Learning to
  Benchmarking


On the creation of narrow AI: hierarchy and nonlocality of neural network skills


ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation


Policy Compatible Skill Incremental Learning via Lazy Learning Interface


Attention! You Vision Language Model Could Be Maliciously Manipulated


RLGF: Reinforcement Learning with Geometric Feedback for Autonomous
  Driving Video Generation


Quantifying Cross-Modality Memorization in Vision-Language Models


Asymptotically exact variational flows via involutive MCMC kernels


CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching


Infinite Neural Operators: Gaussian processes on functions


Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition


From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization


A Unified Framework on the Universal Approximation  of Transformer-type Architectures


Visual Instruction Bottleneck Tuning


Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion


Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task


UniTok: A Unified Tokenizer for Visual Generation and Understanding


AutoToM: Automated Bayesian Inverse Planning and Model Discovery for Open-ended Theory of Mind


UMA: A Family of Universal Models for Atoms


Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator


Preference Learning with Lie Detectors can Induce Honesty or Evasion


Scaling Laws for Optimal Data Mixtures


Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing


Simple and Optimal Sublinear Algorithms for Mean Estimation


Conformal Linguistic Calibration: Trading-off between Factuality and Specificity


Optimal community detection in dense bipartite graphs


ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models


FGBench: A Dataset and Benchmark for Molecular Property Reasoning at
  Functional Group-Level in Large Language Models


Normalize Filters! Classical Wisdom for Deep Vision


Multimodal 3D Genome Pre-training


Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics


Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks


GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning


Private Hyperparameter Tuning with Ex-Post Guarantee


No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!


On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in
  Large Vision-Language Models


Faster Fixed-Point Methods for Multichain MDPs


CoUn: Empowering Machine Unlearning via Contrastive Learning


NEP: Autoregressive Image Editing via Next Editing Token Prediction


GeoCAD: Local Geometry-Controllable CAD Generation


ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods


Towards Robust Zero-Shot Reinforcement Learning


Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery


GeoRemover: Removing Objects and Their Causal Visual Artifacts


Distributional Adversarial Attacks and Training in Deep Hedging


Noise Matters: Optimizing Matching Noise for Diffusion Classifiers


Object-centric Binding in Contrastive Language-Image Pretraining


TTRL: Test-Time Reinforcement Learning


Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity


Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits


CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models


Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction


Metis: A Foundation Speech Generation Model with Masked Generative Pre-training


RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts


Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation


ImgEdit: A Unified Image Editing Dataset and Benchmark


Dynamic View Synthesis as an Inverse Problem


Sketched Gaussian Mechanism for Private Federated Learning


Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling


Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting


Reinforcement Learning Finetunes Small Subnetworks in Large Language Models


LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration


AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation


StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant


LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based
  Video Generation


Multimodal Disease Progression Modeling via Spatiotemporal
  Disentanglement and Multiscale Alignment


Sequence Modeling with Spectral Mean Flows


CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction


Structured Initialization for Vision Transformers


Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs


Scalable and adaptive prediction bands with kernel sum-of-squares


Failure by Interference: Language Models Make Balanced Parentheses Errors  When Faulty Mechanisms Overshadow Sound Ones


OmniTry: Virtual Try-On Anything without Masks


Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with
  LLMs


Accelerating Parallel Diffusion Model Serving with Residual Compression


Principled data augmentation for learning to solve quadratic programming problems


SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through
  Combat


Efficient Spectral Control of Partially Observed Linear Dynamical Systems


A multiscale analysis of mean-field transformers in the moderate interaction regime


The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective


MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives


SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation


From Play to Replay: Composed Video Retrieval for Temporally
  Fine-Grained Videos


SafeVid: Toward Safety Aligned Video Large Multimodal Models


KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse


Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator


Strategic Classification with Non-Linear Classifiers


Model Merging in Pre-training of Large Language Models


Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations


DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy


TIDMAD: Time Series Dataset for Discovering Dark Matter with AI
  Denoising


Learning to Integrate Diffusion ODEs by Averaging the Derivatives


Treatment Effect Estimation for Optimal Decision-Making


Rotary Masked Autoencoders are Versatile Learners


Semi-supervised Graph Anomaly Detection via Robust Homophily Learning


macOSWorld: A Multilingual Interactive Benchmark for GUI Agents


Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)


Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis


Towards Understanding Camera Motions in Any Video


Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain   Perspective


Image Super-Resolution with Guarantees via Conformalized Generative Models


Deep learning for continuous-time stochastic control with jumps


Recurrent Memory for Online Interdomain Gaussian Processes


From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction


Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation


Rethinking Tokenized Graph Transformers  for Node Classification


Online Learning of Pure States is as Hard as Mixed States


SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL


Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization


Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging


Long-tailed Recognition with Model Rebalancing


Generative Pre-trained Autoregressive Diffusion Transformer


Consistency Conditions for Differentiable Surrogate Losses


How Particle System Theory Enhances Hypergraph Message Passing


Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning


Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop


Learning Neural Exposure Fields for View Synthesis


DyMoDreamer: World Modeling with Dynamic Modulation


HoliTom: Holistic Token Merging for Fast Video Large Language Models


A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities


How Benchmark Prediction from Fewer Data Misses the Mark


Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers


Training-Free Safe Denoisers for Safe Use of Diffusion Models


Struct2D: A Perception-Guided Framework for Spatial Reasoning in Large
  Multimodal Models


An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction


Optimized Minimal 3D Gaussian Splatting


REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites


How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning


Training Language Models to Generate Quality Code with Program Analysis Feedback


Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum


PLD: A Choice-Theoretic List-Wise Knowledge Distillation


Analyzing Similarity Metrics for Data Selection for Language Model Pretraining


Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks


Generalized Linear Mode Connectivity for Transformers


Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning


Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers


Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving


Solving Inequality Proofs with Large Language Models


Solving Inverse Problems with FLAIR


InfoChartQA: A Benchmark for Multimodal Question Answering on
  Infographic Charts


Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound


Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins


On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks


GenIR: Generative Visual Feedback for Mental Image Retrieval


Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning


Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary


Normalized Attention Guidance: Universal Negative Guidance for Diffusion   Models


World Models as Reference Trajectories for Rapid Motor Adaptation


Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs


MokA: Multimodal Low-Rank Adaptation for MLLMs


Vision Transformers with Self-Distilled Registers


Rethinking Verification for LLM Code Generation: From Generation to Testing


Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training


Don't be lazy: CompleteP enables compute-efficient deep transformers


Mechanism Design via the Interim Relaxation


MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation


TimeWak: Temporal Chained-Hashing Watermark for Time Series Data


CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling


Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations


AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents


Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression


Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World


Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes


SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning


Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency


AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference


Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration


L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling


PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced
  Text-to-Image Generation


ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models


Just One Layer Norm Guarantees Stable Extrapolation


Performative Validity of Recourse Explanations


CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step


Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts


FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion


Information-Theoretic Reward Decomposition for Generalizable RLHF


Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models


Lost in Transmission: When and Why LLMs Fail to Reason Globally


InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding


VLMs Can Aggregate Scattered Training Patches


On Traceability in $\ell_p$ Stochastic Convex Optimization


SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning


ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding


Integral Imprecise Probability Metrics


Redefining Experts: Interpretable Decomposition of Language Models for
  Toxicity Mitigation


HouseLayout3D: A Benchmark and Training-Free Baseline for 3D Layout Estimation in the Wild


Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections


Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning


Imagine360: Immersive 360 Video Generation from Perspective Anchor


Generalization or Hallucination? Understanding Out-of-Context Reasoning
  in Transformers


MPMAvatar: Learning 3D Gaussian Avatars with Accurate and Robust Physics-Based Dynamics


Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning


PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling


Increasing the Utility of Synthetic Images through Chamfer Guidance


ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code


LLMs Encode Harmfulness and Refusal Separately


SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and
  Self-Reflective Agent


AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models


ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks


Distributionally Robust Performative Optimization


Reparameterized LLM Training via Orthogonal Equivalence Transformation


Revisiting Agnostic Boosting


Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training


SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning


Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs


TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems


Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection


The Best Instruction-Tuning Data are Those That Fit


TraFlow: Trajectory Distillation on Pre-Trained Rectified Flow


Improving planning and MBRL with temporally-extended actions


TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels


Reading Recognition in the Wild


MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models


Computational Efficiency under Covariate Shift in Kernel Ridge Regression


Differentially Private Quantiles with Smaller Error


Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project


CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors


SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations


Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia


FEAT: Free energy Estimators with Adaptive Transport


OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation


Temporal-Difference Variational Continual Learning


Simulation-Based Inference for Adaptive Experiments


JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation


HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts


STAR: A Benchmark for Astronomical Star Fields Super-Resolution


DOTA: Distributional Test-time Adaptation of Vision-Language Models


Demystifying Network Foundation Models


OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states


Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning


Metropolis-Hastings Sampling for 3D Gaussian Reconstruction


LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing


FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks


Event-Driven Dynamic Scene Depth Completion


Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning


State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding


FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding


Understand Before You Generate: Self-Guided Training for Autoregressive
  Image Generation


Dependency Parsing is More Parameter-Efficient with Normalization


Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing


On Fairness of Unified Multimodal Large Language Model for Image Generation


Mutual-Supervised Learning for Sequential-to-Parallel Code Translation


Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning


SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes


Nonlinear Laplacians: Tunable principal component analysis under directional prior information


MINGLE: Mixtures of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging


Bag of Tricks for Inference-time Computation of LLM Reasoning


Disentangling Latent Shifts of In-Context Learning with Weak Supervision


MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models


Sequentially Auditing Differential Privacy


CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems


Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs


Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos


Geometry of Decision Making in Language Models


Purifying Approximate Differential Privacy with Randomized Post-processing


HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance


Learning (Approximately) Equivariant Networks via Constrained Optimization


Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration


Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders


EvoBrain: Dynamic Multi-channel EEG Graph Modeling for Time-evolving Brain Network


Least squares variational inference


Neural Tangent Knowledge Distillation for Optical Convolutional Networks


Variational Inference with  Mixtures of Isotropic Gaussians


HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of
  Manufactured Solutions


Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks


AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science


MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks


SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models
  for Time Series


Credal Prediction based on Relative Likelihood


PlayerOne: Egocentric World Simulator


Truthful Aggregation of LLMs with an Application to Online Advertising


Class-wise Balancing Data Replay for Federated Class-Incremental Learning


Smooth regularization for efficient video recognition


AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal   Understanding


Steering Generative Models with Experimental Data for Protein Fitness Optimization


Guiding Fair LLM Decision-Making with Reward Models


PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation


DISC: Dynamic Decomposition Improves LLM Inference Scaling


PDPO: Parametric Density Path Optimization


MMOT: The First Challenging Benchmark for Drone-based Multispectral
  Multi-Object Tracking


Active Measurement: Efficient Estimation at Scale


On the Value of Cross-Modal Misalignment in Multimodal Representation Learning


MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with
  Refined Annotations


What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions


FACE: A general Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens


DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured
  Hierarchical Representation Learning


GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs


Pay Attention to Small Weights


How Different from the Past? Spatio-Temporal Time Series Forecasting
  with Self-Supervised Deviation Learning


Charting and Navigating Hugging Face's Model Atlas


What Do Latent Action Models Actually Learn?


Mask Image Watermarking


Align Your Flow: Scaling Continuous-Time Flow Map Distillation


Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty


MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching


DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs


Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models


ConTextTab: A Semantics-Aware Tabular In-Context Learner


Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs


Collapsing Taylor Mode Automatic Differentiation


SWE-bench Goes Live!


SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training


Remasking Discrete Diffusion Models with Inference-Time Scaling


Token embeddings violate the manifold hypothesis


Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection


Execution Guided Line-by-Line Code Generation


A Gradient Guided Diffusion Framework for Chance Constrained Programming


From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots


CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers


Constrained Diffusion Implicit Models


Learning Counterfactual Outcomes Under Rank Preservation


CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates


Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning


Private Evolution Converges


GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset


Towards A Generalist Code Embedding Model Based On Massive Data Synthesis


WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic Real-world scenarios


VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance


Replicable Online Learning


Learning Robust Spectral Dynamics  for Temporal Domain Generalization


Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers


Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes


dKV-Cache: The Cache for Diffusion Language Models


OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation


Uncertainty Quantification with the Empirical Neural Tangent Kernel


Causally Reliable Concept Bottleneck Models


From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding


Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity
  Distribution Optimization


Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe


Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption


Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following


PoLAR: Polar-Decomposed Low-Rank Adapter Representation


Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing


Neural Attention Search


AgentBreeder: Mitigating the AI Safety Impact of Multi-Agent Scaffolds via Self-Improvement


Single-pass Adaptive Image Tokenization for Minimum Program Search


Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework


The Price of Opportunity Fairness in Matroid Allocation Problems


RIGNO: A Graph-based framework for robust and accurate operator learning
  for PDEs on arbitrary domains


SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving


Lie Detector: Unified Backdoor Detection via Cross-Examination Framework


Data Fusion for Partial Identification of Causal Effects


UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents


Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning


Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling


Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation


Masked Gated Linear Unit


Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs


Martian World Models: Controllable Video Synthesis with Physically Accurate 3D Reconstructions


Rescaled Influence Functions: Accurate Data Attribution in High Dimension


Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance


The Hallucination Dilemma: Factuality-Aware Reinforcement Learning for Large Reasoning Models


Unified Scaling Laws for Compressed Representations


Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models


Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs


A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation


Thinkless: LLM Learns When to Think


The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination


ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding


Accelerating RL for LLM Reasoning with Optimal Advantage Regression


Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models


Stochastically Dominant Peer Prediction


Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback


ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation


Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos


zip2zip: Inference-Time Adaptive Vocabularies for Language Models via   Token Compression


Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning


Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization


Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework


Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis


HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation


Two heads are better than one: simulating large transformers with small ones


Low Rank Gradients and Where to Find Them


Bandit Multiclass List Classification


Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods


SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding


Object Concepts Emerge from Motion


Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models


metaTextGrad: Automatically optimizing language model optimizers


Learning Linear Attention in Polynomial Time


Inference-time Alignment in Continuous Space


FLOWING: Implicit Neural Flows for Structure-Preserving Morphing


Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free
  Lunch


PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models


ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection


Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations


Effects of Dropout on Performance in Long-range Graph Learning Tasks


Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights


Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features


SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning


Touch in the Wild: Learning Fine-Grained Manipulation with a Portable
  Visuo-Tactile Gripper


Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language
  Navigation


Small Singular Values Matter: A Random Matrix Analysis of  Transformer Models


InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model


DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products


On Learning Verifiers for Chain-of-Thought Reasoning


Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets


FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning


When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses


Concept Incongruence: An Exploration of Time and Death in Role Playing


GradMetaNet: An Equivariant Architecture for Learning on Gradients


CodeV-R1: Reasoning-Enhanced Verilog Generation


Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling


A Simple Linear Patch Revives Layer-Pruned Large Language Models


Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference


MARS: A Malignity-Aware Backdoor Defense in Federated Learning


CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up


Behavior Injection: Preparing Language Models for Reinforcement Learning


Data-Efficient Pretraining with Group-Level Data Influence Modeling


From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D


FairDD: Fair Dataset Distillation


RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget


CausalPFN: Amortized Causal Effect Estimation via In-Context Learning


3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction


New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results


Geometry Aware Operator Transformer as an Efficient and Accurate Neural
  Surrogate for PDEs on Arbitrary Domains


3EED: Ground Everything Everywhere in 3D


Plenodium: UnderWater 3D Scene Reconstruction with Plenoptic Medium Representation


Sequential Attention-based Sampling for Histopathological Analysis


Cost-Aware Contrastive Routing for LLMs


Calibrating Translation Decoding with Quality Estimation on LLMs


Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward


Anchor-based Maximum Discrepancy for Relative Similarity Testing


Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting


Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs


How Memory in Optimization Algorithms Implicitly Modifies the Loss


OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data


HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning


Non-Markovian Discrete Diffusion with Causal Language Models


Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks


TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks


MTRec: Learning to Align with User Preferences via Mental Reward Models


ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering


A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods


Unified Reinforcement and Imitation Learning for Vision-Language Models


LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling


BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization


Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking


Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack


KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models


A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input


Flow Equivariant Recurrent Neural Networks


Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality


Aligning Text to Image in Diffusion Models is Easier Than You Think


BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics


Purest Quantum State Identification


FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents


Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data


A Semantic Parsing Framework for End-to-End Time Normalization


Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need


LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization


Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind


Geometry-Aware Edge Pooling for Graph Neural Networks


Two Birds with One Stone: Improving Factuality and Faithfulness of LLMs via Dynamic Interactive Subspace Editing


Solver-Free Decision-Focused Learning for Linear Optimization Problems


Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS


Locally Optimal Private Sampling: Beyond the Global Minimax


AGI-Elo: How Far Are We From Mastering A Task?


GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining


Scaling Language-Centric Omnimodal Representation Learning


Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping


Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control


Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning


Inference with correlated priors using sisters cells


Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning


GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to
  8K Resolution


MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene
  Generation


EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization


Superposition Yields Robust Neural Scaling


Think Only When You Need with Large Hybrid-Reasoning Models


Learning to Steer: Input-dependent Steering for Multimodal LLMs


OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation


Efficient Randomized Experiments Using Foundation Models


Characterizing the Expressivity of Transformer Language Models


Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning


STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking


Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions


Mechanism Design for LLM Fine-tuning with Multiple Reward Models


Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting


Online Feedback Efficient Active Target Discovery in Partially Observable Environments


What makes math problems hard for reinforcement learning: a case study


Tight analyses of first-order methods with error feedback


Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few


Improving LLM General Preference Alignment via Optimistic Online Mirror Descent


Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints


Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology


Do Language Models Use Their Depth Efficiently?


Compute-Optimal Scaling for Value-Based Deep RL


Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration


DINGO: Constrained Inference for Diffusion LLMs


Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling


Improved Representation Steering for Language Models


Graph Persistence goes Spectral


Scaling Physical Reasoning with the PHYSICS Dataset


Precise Asymptotics and Refined Regret of Variance-Aware UCB


A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings


Zeroth-Order Optimization Finds Flat Minima


Learning Differential Pyramid Representation for Tone Mapping


A Clean Slate for Offline Reinforcement Learning


Estimating Model Performance Under Covariate Shift Without Labels


Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN


Less is More: Improving LLM Alignment via Preference Data Selection


KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation


MaxSup: Overcoming Representation Collapse in Label Smoothing


Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models


ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction


Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics


Improved Approximation Algorithms for Chromatic and Pseudometric-Weighted Correlation Clustering


DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage
  Assessment and Response


Root Cause Analysis of Outliers with Missing Structural Knowledge


Blackbox Model Provenance via Palimpsestic Membership Inference


The Rich and the Simple: On the Implicit Bias of Adam and SGD


AlphaBeta is not as good as you think: a new probabilistic model to better analyze deterministic game-solving algorithms


Latent Principle Discovery for Language Model Self-Improvement


KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning


Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model


FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling


Differentially Private Gomory-Hu Trees


Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N
  Sampling in Early Decoding


FlowFeat: Pixel-Dense Embedding of Motion Profiles


Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models


TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster


HoPE: Hybrid of Position Embedding for Length Generalization in   Vision-Language Models


ProDAG: Projected Variational Inference for Directed Acyclic Graphs


DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging


Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools


Differentiable Generalized Sliced Wasserstein Plans


Multi-head Temporal Latent Attention


Faithful Group Shapley Value


Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning


ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning


Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning


UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions


The Curse of Depth in Large Language Models


Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL


Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints


RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation


The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games


Improving Progressive Generation with Decomposable Flow Matching


Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator


Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection


Joint Relational Database Generation via Graph-Conditional Diffusion Models


Brain-like variational inference


$\texttt{DINO-Foresight}$: Looking into the Future with DINO


4KAgent: Agentic Any Image to 4K Super-Resolution


Linguini: A benchmark for language-agnostic linguistic reasoning


Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity


The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement


Plasticity as the Mirror of Empowerment


Whole-Body Conditioned Egocentric Video Prediction


Tail-Optimized Caching for LLM Inference


VLA-Cache: Towards Efficient Vision-Language-Action Model via Adaptive Token Caching in Robotic Manipulation


Autoencoding Random Forests


StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence   Training of LLMs


Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems


Large Language Models as End-to-end Combinatorial Optimization Solvers


A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values


FastLongSpeech: Enhancing Large Speech-Language Models for Efficient
  Long-Speech Processing


Multi-Agent Collaboration via Evolving Orchestration


Breaking Focus: Contextual Distraction Curse in Large Language Models


GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation


Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning


Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner


Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference


GVPO: Group Variance Policy Optimization for Large Language Model Post-Training


SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding


Self-Refining Language Model Anonymizers via Adversarial Distillation


Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees


Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis


iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning


What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization


Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis


EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction


FlexOlmo: Open Language Models for Flexible Data Use


Influence Functions for Edge Edits in Non-Convex Graph Neural Networks


Language Models can Self-Improve at State-Value Estimation for Better Search


Network two-sample test for block models


OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model


Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund
  Investment Benchmarking


Diffusion Models Meet Contextual Bandits


Manipulating Feature Visualizations with Gradient Slingshots


Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image   Generation


Decoupling Contrastive Decoding: Robust Hallucination Mitigation in
  Multimodal Large Language Models


CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization


Exploiting Task Relationships for Continual Learning Using Transferability-Aware Task Embeddings


Emergence and Evolution of Interpretable Concepts in Diffusion Models


Provably Efficient Online RLHF with One-Pass Reward Modeling


Simple and Provable Scaling Laws for the Test-Time Compute of Large Language Models


Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization


BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity


Fast Solvers for Discrete Diffusion Models: Theory and Applications of
  High-Order Algorithms


Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion


OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction


Guided Stream of Search: Learning to Better Search with Language Models via Optimal Path Guidance


Balancing Multimodal Training Through Game-Theoretic Regularization


IPAD: Inverse Prompt for AI Detection -- A Robust and Explainable LLM-Generated Text Detector


Measuring and Guiding Monosemanticity


ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory
  Perceptions


Two Causally Related Needles in a Video Haystack


DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding


ReSim: Reliable World Simulation for Autonomous Driving


FlySearch: Exploring how vision-language models explore


StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations


Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment


Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension


DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving


Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism


MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures


Privacy Reasoning in Ambiguous Contexts


KL Penalty Control via Perturbation for Direct Preference Optimization


Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex


PASS: Path-selective State Space Model for Event-based Recognition


Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning


Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings


Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective


On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation


Dense Backpropagation Improves Training for Sparse Mixture-of-Experts


DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation


DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration


Sampling 3D Molecular Conformers with Diffusion Transformers


Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space


Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL


Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation


Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modelling


UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation


PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation


PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts


TRAP: Targeted Redirecting of Agentic Preferences


CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing


AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration


Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning


3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal
  Analysis and Diverse Diagnostic Tasks


Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation


Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration


MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Collaborative Learning


LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades


Pre-Trained Policy Discriminators are General Reward Models


AI Debate Aids Assessment of Controversial Claims


DeepASA: An Object-Oriented One-for-All Network for Auditory Scene
  Analysis


When and how can inexact generative models still sample from the data manifold?


Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis


Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data


Fix False Transparency by Noise Guided Splatting


MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions


STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for
  CRC Histopathology


Sharp Matrix Empirical Bernstein Inequalities


Generalization Error Analysis for Selective State-Space Models Through
  the Lens of Attention


Provable Watermarking for Data Poisoning Attacks


Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and   Styles


Irrational Complex Rotations Empower Low-bit Optimizers


Robustness in Both Domains: CLIP Needs a Robust Text Encoder


A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation


Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention


MV-CoLight: Efficient Object Compositing with Consistent Lighting and
  Shadow Generation


High Resolution UDF Meshing via Iterative Networks


Language Modeling by Language Models


Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models


Leveraging robust optimization for llm alignment under distribution shifts


Continual Optimization with Symmetry Teleportation for Multi-Task Learning


Efficient Adaptive Federated Optimization


Fast-Slow Thinking for Large Vision-Language Model Reasoning


Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints


DenseDPO: Fine-Grained Temporal Preference Optimization for Video   Diffusion Models


Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds


A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers


Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning


On Linear Mode Connectivity of Mixture-of-Experts Architectures


BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems


AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions


RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization


A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking


Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation


On the Relation between Rectified Flows and Optimal Transport


Graph Neural Network Based Action Ranking for Planning


Scaling Speculative Decoding with Lookahead Reasoning


Is Artificial Intelligence Generated Image Detection a Solved Problem?


Does Thinking More Always Help? Understanding Test-Time Scaling in Reasoning Models


TabDPT: Scaling Tabular Foundation Models


Time Series Generation Under Data Scarcity: A Unified Generative
  Modeling Approach


One-Step Diffusion for Detail-Rich and Temporally Consistent Video
  Super-Resolution


Scaling RL to Long Videos


BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning


Dynamic Regret Reduces to Kernelized Static Regret


PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-Forward Planar Splatting


VisualLens: Personalization through Visual History


Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study


Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens


Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows


Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge