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Daniel Halpern
-
Aligning AI with Human Values via RLHF and Social Choice Theory
{'Metric Distortion with Elicited Pairwise Comparisons': 'Title: Metric Distortion with Elicited Pairwise Comparisons\\nAbstract\\nIn this work we study the metric distortion problem in voting theory under a limited\\namount of ordinal information. Our primary contribution is threefold. First, we consider\\nmechanisms ...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Zhen Xiang
-,0009-0002-9077-2399,-
BadChain: Backdoor Attacks on Chain-of-Thought Prompting in LLMs
{'Combining Structural Knowledge with Sparsity in Machine Learning and Signal Processing': 'Title: Combining Structural Knowledge with Sparsity in Machine Learning and Signal Processing\\nAbstract\\nBayesian networks represent relations between variables using a directed acyclic graph (DAG). Learning\\nthe DAG is an NP...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Zhixiang Shen
-
Multiplex Graph Fusion
{'Generalized Channel Coding and Decoding With Natural Redundancy in Protocols': 'Title: Generalized Channel Coding and Decoding With Natural Redundancy in Protocols\\nAbstract—In many wireless systems, the signal-to-interference-\\nand-noise ratio that is applicable to a certain transmission,\\nreferred to as channel ...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Matthew Thomas Jackson
-
Learned Optimization for Reinforcement Learning
{'Can Learned Optimization Make Reinforcement Learning Less Difficult?': 'Title: Can Learned Optimization Make Reinforcement Learning Less Difficult?\\nAbstract\\nDeep reinforcement learning has achieved many\\nrecent successes, but our understanding of its\\nstrengths and limitations is hampered by the lack\\nof rich ...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Yiyang Zhao
-
Carbon-Efficient Neural Architecture Search (CE-NAS)
{'Carbon-Efficient Neural Architecture Search (CE-NAS)': 'Title: Carbon-Efficient Neural Architecture Search (CE-NAS)\\nCarbon-Efficient Neural Architecture SearchYiyang ZhaoWorcester Polytechnic Instituteyzhao10@wpi.eduTian GuoWorcester Polytechnic Institutetian@wpi.eduABSTRACTThis work presents a novel approach to ne...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Denny Zhou
-
Inducing Chain-of-Thought Reasoning via Decoding Adjustments
{'Chain of Thought Empowers Transformers to Solve Inherently Serial Problems': 'Title: Chain of Thought Empowers Transformers to Solve Inherently Serial Problems\\nAbstract Identifying pathways for small to medium sized enterprises (SMEs), as potential entrants to the international market place, encourages evaluation ...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Siyuan Huang
-
Cluster-wise Graph Transformer
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Noah A. Smith
0000-0002-2310-6380
Multi-Objective Language Model Alignment
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Simon S. Du
0000-0003-0056-8299
Multi-Objective Language Model Alignment
{'Decoding-Time Language Model Alignment with Multiple Objectives': 'Title: Decoding-Time Language Model Alignment with Multiple Objectives\\nabstract objectives such asharmlessness and helpfulness (proposed in thepost-LLM era) show that we can DeAL withfine-grained trade-offs, improve adherenceto alignment objectives,...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Ke Sun
-
Enhanced Deepfake Detection with Diffusion Models
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Hong Liu
0000-0001-5318-6388
Enhanced Deepfake Detection with Diffusion Models
{'Enhanced Deepfake Detection with Diffusion Models': 'Title: Enhanced Deepfake Detection with Diffusion Models\\nAbstract Mean-ing Representation of the caption and then for-wards the query-image pairs into a pre-trainedlarge vision-language model select the “evi-dences" that are helpful for us to detect mis-informati...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Yiming Yang
-
Easy-to-Hard Generalization in AI Alignment
{'Fast Closed Tree Clustering Parallel Algorithm for Dynamic Cloud Platform': 'Title: Fast Closed Tree Clustering Parallel Algorithm for Dynamic Cloud Platform\\nAbstract\\nThere has been significant recent interest in parallel graph processing due to the need to\\nquickly analyze the large graphs available today. Many...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Chuang Gan
-
Easy-to-Hard Generalization in AI Alignment
{'Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble': 'Title: Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble\\nImproving the generalizability and robustness of large-scale traffic signal controlTianyu ShiDepartment of Civil Engineering, ...
{'Learning to Reason via Self-Iterative Process Feedback for Small Language Models': "Title: Learning to Reason via Self-Iterative Process Feedback for Small Language Models\\nAbstract \\t vi \\nStatement of authorship \\t vii \\nAuthority of Access Statement \\t vii \\nDedication and Acknowledgement viii \\nChapter 1 ...
Roman Klinger
0000-0002-2014-6619
Cross-Lingual Emotion Classification
{'Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora': 'Title: Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora\\nabstract 4 Experimentsemotion-related names leads to a better model.Hence, we set r(e) to return a set of emotionsyn...
{'Document-Level Sentiment Analysis of Urdu Text Using Deep Learning Techniques': 'Title: Document-Level Sentiment Analysis of Urdu Text Using Deep Learning Techniques\\nAbstract\\nSisi LIU\\nDocument-level Sentiment Analysis of Email Data\\nWith the increasing prevalence of electronic devices and advances in network\\...
Jungmo Kim
-
Offline Reinforcement Learning
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Dennis G. Wilson
0000-0003-2414-0051
Skill Diversity in Reinforcement Learning
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
{'Comprehensive Study on Reinforcement Learning and Deep Reinforcement Learning Schemes': 'Title: Comprehensive Study on Reinforcement Learning and Deep Reinforcement Learning Schemes\\nAbstract.Deep learning basedmodels have surpassed classical machine learning based approaches in various text classification\\ntasks, ...
Alyssa Hwang
-
Multi-hop Question Answering
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
{'Unraveling the Capabilities of Language Models in News Summarization': 'Title: Unraveling the Capabilities of Language Models in News Summarization\\nThread of Thought Unraveling Chaotic ContextsYucheng Zhou1∗, Xiubo Geng2, Tao Shen3, Chongyang Tao2,Guodong Long3, Jian-Guang Lou2†, Jianbing Shen1†1 SKL-IOTSC, CIS, Un...
Jennifer D'Souza
0000-0002-6616-9509
Cognitive Knowledge Graphs for Scholarly Article Categorization
{'Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway': 'Title: Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway\\nabstract, author, and datePublishedinherited by its subclasses. Each class within schema.org contributes to a struc-tured repres...
{'Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation': 'Title: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation\\nAbstract. Knowledge graphs (KGs) are widely acknowledged as incom-\\nplete, and new entities are constan...
Dawei Cheng
0000-0002-5877-7387
Graph Training Debugging with Dynamic Soft-Pruning
{'Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization': 'Title: Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization\\nAbstract\\nGraphs arise naturally in many real-world applications incl...
{'Intelligent system for anomaly detection and decision-making support based on Semantic Web technologies in manufacturing processes in Aerospace Industry (short paper)': 'Title: Intelligent system for anomaly detection and decision-making support based on Semantic Web technologies in manufacturing processes in Aerospa...
Binghong Wu
-
Multimodal Generative Modeling
{'Harmonizing Visual Text Comprehension and Generation': 'Title: Harmonizing Visual Text Comprehension and Generation\\nABSTRACT Harmonizing Music and Language Acquisition: Learning Language with the Arts by Samantha Jay Ontiveros: Master of Second Language Teaching Utah State University, 2020 Major Professor: Dr. ...
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
Emmanuel Anaya Gonzalez
0009-0002-9013-2228
LLM-Guided Program Synthesis
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
Roopal Garg
0009-0001-3343-9226
Human-in-the-loop Image Description
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
{'Extract Free Dense Misalignment from CLIP': 'Title: Extract Free Dense Misalignment from CLIP\\nAbstract .............................................................................................. 1', 'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelih...
Burcu Karagol Ayan
-
Human-in-the-loop Image Description
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
Zhengyan Shi
-
Instruction-Enhanced Language Model Training
{'Instruction Tuning With Loss Over Instructions': 'Title: Instruction Tuning With Loss Over Instructions\\nContrastive Instruction TuningTianyi Lorena Yan♢, Fei Wang♢, James Y. Huang♢, Wenxuan Zhou♢, Fan Yin♠Aram Galstyan♢, Wenpeng Yin♡, Muhao Chen♣♢University of Southern California ♠University of California, Los Ange...
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
Kevin Frans
-
Offline RL Performance Bottlenecks
{'Is Value Learning Really the Main Bottleneck in Offline RL?': 'Title: Is Value Learning Really the Main Bottleneck in Offline RL?\\nAbstract \\nThe paper reports upon a series of depth interviews conducted with members of the \\nNASCAR culture of consumption. It was found that fans are committed to the drivers \\nthe...
{'Goal-Conditioned Data Augmentation for Offline Reinforcement Learning': 'Title: Goal-Conditioned Data Augmentation for Offline Reinforcement Learning\\nWhat is Essential for Unseen Goal Generalization ofOffline Goal-conditioned RL?Rui Yang 1 Yong Lin 1 Xiaoteng Ma 2 Hao Hu 2 Chongjie Zhang 3 Tong Zhang 1AbstractOffli...
Vaskar Nath
-
Contrastive Goal-Conditioned Reward Learning
{'Learning Goal-Conditioned Representations for Language Reward Models': 'Title: Learning Goal-Conditioned Representations for Language Reward Models\\nAbstract\\nIt is of significance for an agent to learn a widely\\napplicable and general-purpose policy that can\\nachieve diverse goals including images and text\\ndes...
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
Jeff Da
-
Contrastive Goal-Conditioned Reward Learning
{'Learning Goal-Conditioned Representations for Language Reward Models': 'Title: Learning Goal-Conditioned Representations for Language Reward Models\\nAbstract\\nIt is of significance for an agent to learn a widely\\napplicable and general-purpose policy that can\\nachieve diverse goals including images and text\\ndes...
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
Hugh Zhang
-
Contrastive Goal-Conditioned Reward Learning
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
Jennifer D'Souza
0000-0002-6616-9509
Ontology Matching with LLMs
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
{'Large Language Models Struggle to Encode Medical Concepts - A Multilingual Benchmarking and Comparative Analysis': 'Title: Large Language Models Struggle to Encode Medical Concepts - A Multilingual Benchmarking and Comparative Analysis\\n1A Survey of GPT-3 Family Large LanguageModels Including ChatGPT and GPT-4Katika...
Nathan Hu
-
null
{'Environmental Copper Sensor Based on Polyethylenimine-Functionalized Nanoporous Anodic Alumina Interferometers.': 'Title: Environmental Copper Sensor Based on Polyethylenimine-Functionalized Nanoporous Anodic Alumina Interferometers.\\nabstract. “Just Accepted” manuscripts have been fullypeer reviewed, but should not...
{'Electrokinetic Enhancement of Membrane Techniques for Efficient Nanoparticle Separation and Preconcentration.': 'Title: Electrokinetic Enhancement of Membrane Techniques for Efficient Nanoparticle Separation and Preconcentration.\\nElectrokinetic Trapping of Biomolecules:Novel Nanofluidic Devices for Proteomic Applic...
Leyang Cui
0000-0001-5072-884X
Machine-Generated Text Detection
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
Tuney Zheng
-
Instruction Data Mining for LLM Reasoning
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
{'Benchmarking Table Comprehension In The Wild': 'Title: Benchmarking Table Comprehension In The Wild\\nAbstract\\nZero-shot text classification (0SHOT-TC) is a\\nchallenging NLU problem to which little at-\\ntention has been paid by the research com-\\nmunity. 0SHOT-TC aims to associate an ap-\\npropriate label with a...
Juhwan Choi
-
LLM-based Dataset Cleansing
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
{'Learning Free Token Reduction for Multi-Modal LLM': 'Title: Learning Free Token Reduction for Multi-Modal LLM\\nHallucination Augmented Contrastive Learning for Multimodal Large LanguageModelChaoya Jiang1 Haiyang Xu2∗ Mengfan Dong1 Jiaxing Chen1 Wei Ye1∗Ming Yan2 Qinghao Ye2 Ji Zhang2 Fei Huang2 Shikun Zhang11Nationa...
Bhavya Sukhija
0000-0001-6238-9734
Nonepisodic Optimistic Reinforcement Learning
{'Optimistic Active Exploration of Dynamical Systems': 'Title: Optimistic Active Exploration of Dynamical Systems\\nOptimistic Active Exploration of Dynamical SystemsBhavya Sukhija1 Lenart Treven1 Cansu Sancaktar2 Sebastian Blaes2Stelian Coros1 Andreas Krause1ETH Zürich 1 MPI for Intelligent Systems2{sukhijab,trevenl,s...
{'Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models': 'Title: Verlet Flows: Exact-Likelihood Integrators for Flow-Based Generative Models\\nABSTRACT\\nApproximations in computing model likelihoods with continuous normalizing\\nflows (CNFs) hinder the use of these models for importance sampling...
Songhwai Oh
-
Adversarial Environment Design
{'Adversarial Environment Design via Regret-Guided Diffusion Models': 'Title: Adversarial Environment Design via Regret-Guided Diffusion Models\\nAbstract\\nTraining agents that are robust to environmental changes remains a significant\\nchallenge in deep reinforcement learning (RL). Unsupervised environment design\\n(...
{'Adversarial Environment Design via Regret-Guided Diffusion Models': 'Title: Adversarial Environment Design via Regret-Guided Diffusion Models\\nAbstract\\nTraining agents that are robust to environmental changes remains a significant\\nchallenge in deep reinforcement learning (RL). Unsupervised environment design\\n(...
Markus Stocker
0000-0001-5492-3212
Scholarly Knowledge Graph
{'Managing Comprehensive Research Instrument Descriptions Within a Scholarly Knowledge Graph': 'Title: Managing Comprehensive Research Instrument Descriptions Within a Scholarly Knowledge Graph\\nabstract are my original work. Proper attribution \\nhas been given to all outside sources. I understand that I am solely re...
{'Resources for Graph Data and Knowledge': 'Title: Resources for Graph Data and Knowledge\\n City, University of London Institutional RepositoryCitation: Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Hassanzadeh, O., Efthymiou, V., Chen, J. and Srinivas, K. (2020). SemTab 2019: Resources to Benchmark Tabula...
Shouhong Ding
-
Enhanced Deepfake Detection with Diffusion Models
{'Exploring Frequency Adversarial Attacks for Face Forgery Detection': 'Title: Exploring Frequency Adversarial Attacks for Face Forgery Detection\\n1Exploring Decision-based Black-box Attacks onFace Forgery DetectionZhaoyu Chen, Graduate Student Member, IEEE, Bo Li, Kaixun Jiang,Shuang Wu, Shouhong Ding, Wenqiang Zhang...
{'Hybrid Neural Network Models to Estimate Vital Signs from Facial Videos': 'Title: Hybrid Neural Network Models to Estimate Vital Signs from Facial Videos\\nAbstract: Generative artificial intelligence (AI) tools offer promise in facilitating code discovery, refinement, and large-scale analyses in qualitative coding. ...
Zhiqing Sun
-
Easy-to-Hard Generalization in AI Alignment
{'Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble': 'Title: Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble\\nImproving the generalizability and robustness of large-scale traffic signal controlTianyu ShiDepartment of Civil Engineering, ...
{'Adversarial Environment Design via Regret-Guided Diffusion Models': 'Title: Adversarial Environment Design via Regret-Guided Diffusion Models\\nAbstract\\nTraining agents that are robust to environmental changes remains a significant\\nchallenge in deep reinforcement learning (RL). Unsupervised environment design\\n(...
Longhui Yu
-
Easy-to-Hard Generalization in AI Alignment
{'Memory Replay with Data Compression for Continual Learning': 'Title: Memory Replay with Data Compression for Continual Learning\\nAbstract\\nDespite advances in deep learning, neural net-\\nworks can only learn multiple tasks when trained\\non them jointly. When tasks arrive sequentially,\\nthey lose performance on p...
{'Object Style Diffusion for Generalized Object Detection in Urban Scene': 'Title: Object Style Diffusion for Generalized Object Detection in Urban Scene\\nabstract style in the feature space. In the single-domain urban object detectiontask, where the style information is limited, we aim to extract the style informatio...
Weiyang Liu
-
Easy-to-Hard Generalization in AI Alignment
{'Representational Alignment Supports Effective Machine Teaching': "Title: Representational Alignment Supports Effective Machine Teaching\\nRepresentational AlignmentSupports Effective Machine TeachingIlia Sucholutsky∗Princeton UniversityKatherine M. Collins∗University of CambridgeMaya MalaviyaStevens Institute of Tech...
{': Large': 'Title: : Large\\nAbstract. A rainbow subgraph of an edge-colored graph is a subgraph whose edges have\\ndistinct colors. The color degree of a vertex v is the number of different colors on edges\\nincident to v. We show that if n is large enough (namely, n ≥ 4.25k2), then each n-vertex\\ngraph G with minim...
Yonghyeon Jo
-
Offline Reinforcement Learning
{'Adversarial Environment Design via Regret-Guided Diffusion Models': 'Title: Adversarial Environment Design via Regret-Guided Diffusion Models\\nAbstract\\nTraining agents that are robust to environmental changes remains a significant\\nchallenge in deep reinforcement learning (RL). Unsupervised environment design\\n(...
{'Adversarial Environment Design via Regret-Guided Diffusion Models': 'Title: Adversarial Environment Design via Regret-Guided Diffusion Models\\nAbstract\\nTraining agents that are robust to environmental changes remains a significant\\nchallenge in deep reinforcement learning (RL). Unsupervised environment design\\n(...
Florent Teichteil-Konigsbuch
0000-0001-6815-096X
Skill Diversity in Reinforcement Learning
{'Influence of modeling structure in probabilistic sequential decision problems': 'Title: Influence of modeling structure in probabilistic sequential decision problems\\nSequential Influence Diagrams: A Unified Asymmetry FrameworkFinn V. Jensen and Thomas D. NielsenDepartment of Computer ScienceAalborg UniversityFredri...
{'Adversarial Environment Design via Regret-Guided Diffusion Models': 'Title: Adversarial Environment Design via Regret-Guided Diffusion Models\\nAbstract\\nTraining agents that are robust to environmental changes remains a significant\\nchallenge in deep reinforcement learning (RL). Unsupervised environment design\\n(...
Zhixun Li
0000-0001-6750-9002
Graph Training Debugging with Dynamic Soft-Pruning
{'Fairness without Demographics through Learning Graph of Gradients': 'Title: Fairness without Demographics through Learning Graph of Gradients\\nABSTRACT\\nMuch of the previous machine learning (ML) fairness literature\\nassumes that protected features such as race and sex are present\\nin the dataset, and relies upon...
{'Revisiting the Necessity of Graph Learning and Common Graph Benchmarks': 'Title: Revisiting the Necessity of Graph Learning and Common Graph Benchmarks\\nRevisiting the Message Passing inHeterophilous Graph Neural NetworksZhuonan Zheng1, Yuanchen Bei1, Sheng Zhou1∗, Yao Ma2,Ming Gu1, Hongjia Xu1, Chengyu Lai1, Jiawei...
Guande He
-
Alignment of Language Models via Noise Contrastive Estimation
{'Noise Contrastive Alignment of Language Models with Explicit Rewards': 'Title: Noise Contrastive Alignment of Language Models with Explicit Rewards\\nabstract away imperceptible details and reduce computation, as thoselatent spaces still carry spatial details. On the other hand, it is a well-known fact that pretraine...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Lifan Yuan
-
Alignment of Language Models via Noise Contrastive Estimation
{'Noise Contrastive Alignment of Language Models with Explicit Rewards': 'Title: Noise Contrastive Alignment of Language Models with Explicit Rewards\\nabstract away imperceptible details and reduce computation, as thoselatent spaces still carry spatial details. On the other hand, it is a well-known fact that pretraine...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Edgar Dobriban
-
Dualized Alignment for LLMs
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Francesco Bacchiocchi
-
Online Bayesian Persuasion with Unknown Priors
{'Online Bayesian Persuasion Without a Clue': 'Title: Online Bayesian Persuasion Without a Clue\\nabstract ideas. (R)11 Extraversion I talk to a lot of different people at parties.12 Agreeableness I feel others’ emotions.13 Conscientiousness I like order.14 Neuroticism I get upset easily.15 Openness I gave difficulty u...
{'Learning in Repeated Multi-Unit Pay-As-Bid Auctions': 'Title: Learning in Repeated Multi-Unit Pay-As-Bid Auctions\\nabstract=678301Kira Goldner, Nicole Immorlica, and Brendan Lucier. 2019. Reducing Inefficiency in Carbon Auctions withImperfect Competition. https://doi.org/10.48550/ARXIV.1912.06428Negin Golrezaei, Pat...
Nicola Gatti
-
Online Bayesian Persuasion with Unknown Priors
{'Online Bayesian Persuasion': 'Title: Online Bayesian Persuasion\\nAbstract\\nBayesian persuasion studies how an informed\\nsender should partially disclose information to in-\\nfluence the behavior of a self-interested receiver.\\nClassical models make the stringent assumption\\nthat the sender knows the receiver’s u...
{'Strategy-Proofness Made Simpler': 'Title: Strategy-Proofness Made Simpler\\nAbstract\\nEmpirical tests of direct revelation games of strategy-proof social choice functions\\nshow behavior in these games can approximate suboptimal mutual best responses. We\\ndetermine that this worst case scenario for the operation of...
Emre Neftci
0000-0002-0332-3273
Deep Reinforcement Learning for Automatic Differentiation Optimization
{'Optimizing Automatic Differentiation with Deep Reinforcement Learning': 'Title: Optimizing Automatic Differentiation with Deep Reinforcement Learning\\nABSTRACT\\nGradient-based optimization is the foundation of deep learning and reinforcement\\nlearning, but is difficult to apply when the mechanism being optimized i...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Mohamad Yaser Jaradeh
0000-0001-8777-2780
Neuro-Symbolic Scholarly Search
{'Question Answering on Scholarly Knowledge Graphs': 'Title: Question Answering on Scholarly Knowledge Graphs\\nAbstract. Answering questions on scholarly knowledge comprising text\\nand other artifacts is a vital part of any research life cycle. Querying\\nscholarly knowledge and retrieving suitable answers is current...
{'Multimodal Multihop Source Retrieval for Web Question Answering': 'Title: Multimodal Multihop Source Retrieval for Web Question Answering\\nMPMQA: Multimodal Question Answering on Product ManualsLiang Zhang1, Anwen Hu1, Jing Zhang2, Shuo Hu2, Qin Jin1*1School of Information, Renmin University of China2Samsung Researc...
Brian Mac Namee
0000-0003-2518-0274
Parallel Decoding for NER
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Low-Resource Chinese Named Entity Recognition via CNN-based Multitask Learning': 'Title: Low-Resource Chinese Named Entity Recognition via CNN-based Multitask Learning\\nabstract representation with two exceptions.The lowest layer takes input as a vector generated from the data sample. Thehighest layer usually output...
Yaodong Yang
0000-0001-8132-5613
Preference-Adaptive AI Alignment
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Philhoon Oh
-
Key Value Fusion for Context-Order Invariance in LLMs
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Umut Simsekli
-
PDMP-Based Generative Models
{'Piecewise deterministic generative models': 'Title: Piecewise deterministic generative models\\nAbstract\\nThis paper introduces a novel mixture model-based approach for simultaneous clustering\\nand optimal segmentation of functional data which are curves presenting regime changes.\\nThe proposed model consists in a...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Dadi Guo
-
Privacy-Preserving Language Models
{'Multi-step Jailbreaking Privacy Attacks on ChatGPT': 'Title: Multi-step Jailbreaking Privacy Attacks on ChatGPT\\nMulti-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li1, Dadi Guo2, Wei Fan1, Mingshi Xu1, Yangqiu Song11Dept. of CSE, Hong Kong University of Science and Technology2Center for Data Science, AAIS, Pe...
{'Safeguarding System Prompts for LLMs': 'Title: Safeguarding System Prompts for LLMs\\nCovert Malicious Finetuning: Challenges in Safeguarding LLM AdaptationDanny Halawi * 1 Alexander Wei * 1 Eric Wallace 1 Tony T. Wang 2 Nika Haghtalab † 1 Jacob Steinhardt † 1AbstractBlack-box finetuning is an emerging interface fora...
Qi Hu
0000-0002-4499-7805
Privacy-Preserving Language Models
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Compare the Performance of Current Large Language Models in Terms of System Security': 'Title: Compare the Performance of Current Large Language Models in Terms of System Security\\nABSTRACT \\nCanada has observed wage differences between comparable immigrants and the Canadian-\\nborn across the labour market. Using ...
Tanay Wakhare
-
Adversarial Prompt Engineering
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Rumen Dangovski
-
Quantum-informed Tensor Adaptation (QuanTA)
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Saleh Ashkboos
0000-0001-6115-6779
Quantized Rotational Inference
{'Towards End-to-end 4-Bit Inference on Generative Large Language Models': 'Title: Towards End-to-end 4-Bit Inference on Generative Large Language Models\\nQUIK: TOWARDS END-TO-END 4-BIT INFERENCEON GENERATIVE LARGE LANGUAGE MODELSSaleh Ashkboos * 1 Ilia Markov * 2 Elias Frantar 2 Tingxuan Zhong 3 Xingchen Wang 3 Jie R...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Maximilian L. Croci
-
Quantized Rotational Inference
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Pashmina Cameron
0009-0009-0444-1755
Quantized Rotational Inference
{'Development and evaluation of a multiscale keypoint detector based on complex wavelets': "Title: Development and evaluation of a multiscale keypoint detector based on complex wavelets\\nDevelopment and evaluation of a multiscalekeypoint detector based on complex waveletsPashmina BendaleChurchill College, CambridgeJan...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Jiaxuan You
-
Retrieval-Augmented Generation
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Mohammad Shoeybi
-
Retrieval-Augmented Generation
{'Retrieval meets Long Context Large Language Models': 'Title: Retrieval meets Long Context Large Language Models\\nPickens, J. & MacFarlane, A. (2006). Term Context Models for Information Retrieval. Paper presented at the 15th ACM international conference on Information and knowledge management, 05-11-2006 - 11-11-200...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Jonathan D. Chang
0000-0002-3952-5475
Reinforcement Learning Policy Optimization
{'Policy-Gradient Training of Language Models for Ranking': "Title: Policy-Gradient Training of Language Models for Ranking\\nPolicy-Gradient Training of Language Modelsfor RankingGe Gao Jonathan D. Chang Claire Cardie Kianté Brantley Thorsten JoachimsDepartment of Computer Science, Cornell University{ggao}@cs.cornell....
{'Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval': 'Title: Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval\\nRethinking Interpretability in the Era of Large Language ModelsChandan Singh 1 Jeevana Priya Inala 1 Michel Galley 1 Rich Caruana 1 Jianfeng Gao 1Abst...
Kianté Brantley
0000-0002-8395-594X
Reinforcement Learning Policy Optimization
{'Policy-Gradient Training of Language Models for Ranking': "Title: Policy-Gradient Training of Language Models for Ranking\\nPolicy-Gradient Training of Language Modelsfor RankingGe Gao Jonathan D. Chang Claire Cardie Kianté Brantley Thorsten JoachimsDepartment of Computer Science, Cornell University{ggao}@cs.cornell....
{'Inverse Reinforcement Learning from Demonstrations for LLM Alignment': 'Title: Inverse Reinforcement Learning from Demonstrations for LLM Alignment\\nInverse-RLignment: Inverse Reinforcement Learningfrom Demonstrations for LLM AlignmentHao Sun∗ Mihaela van der SchaarDepartment of Applied Mathematics and Theoretical P...
Atticus Geiger
0000-0002-9170-506X
Representation Finetuning (ReFT)
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Christopher Potts
0000-0002-7978-6055
Representation Finetuning (ReFT)
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'A Grounded Typology of Word Classes': 'Title: A Grounded Typology of Word Classes\\nUvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl)UvA-DARE (Digital Academic Repository)Towards a mathematical model of word class clusteringsNordhoff, S.Publication date2008Published in...
António Farinhas
-
Reranker-Enhanced Error Reduction in LLMs
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'The Impact of Model Scaling on Seen and Unseen Language Performance': 'Title: The Impact of Model Scaling on Seen and Unseen Language Performance\\nAbstract. First-person vision is gaining interest as it offers a unique\\nviewpoint on people’s interaction with objects, their attention, and even\\nintention. However, ...
Haau-Sing Li
-
Reranker-Enhanced Error Reduction in LLMs
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Daniel Tang
0000-0002-6377-0884
Code Similarity Metrics
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Jiayi Ji
0000-0002-9956-6308
Spatial Awareness in 3D Segmentation
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples': 'Title: Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples\\nEnhancing Representation inRadiography-Reports Foundation Model: AGranular Alignment Algorithm Using MaskedContrastive LearningWeijian Huang...
Daniil Dmitriev
-
Robust Mixture Estimation
{'Robust Mixture Learning when Outliers Overwhelm Small Groups': 'Title: Robust Mixture Learning when Outliers Overwhelm Small Groups\\nAbstract\\nIn this thesis, we study the problems of robust model selection and outlier detection\\nin linear regression. The \\nresults of data analysis based on linear regressions are...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Rares-Darius Buhai
0000-0001-6667-0304
Robust Mixture Estimation
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Fanny Yang
0000-0003-0224-4079
Robust Mixture Estimation
{'Semi-supervised novelty detection using ensembles with regularized disagreement': 'Title: Semi-supervised novelty detection using ensembles with regularized disagreement\\nA Survey on Semi-Supervised Learning for Delayed Partially\\nLabelled Data Streams\\nHEITOR MURILO GOMES, AI Institute, University of Waikato\\nMA...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Sahil Singla
0000-0002-8800-6479
Optimal Pricing with Limited Sampling
{'Online Combinatorial Allocations and Auctions with Few Samples': 'Title: Online Combinatorial Allocations and Auctions with Few Samples\\nAbstract\\nWe consider the online problem in which an intermediary trades identical items with a\\nsequence of n buyers and n sellers, each of unit demand. We assume that the value...
{'Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment': 'Title: Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment\\nABSTRACT\\nClassifier-Free Guidance (CFG) is a critical technique for enhancing the sample\\nquality of visual generative models. However, in autoregr...
Justin C. Ondry
0000-0001-9113-3420
High-Temperature Molten Salt Synthesis of III-V Semiconductor Nanocrystals
{}
{}
Kailai Lin
0000-0001-8509-5560
High-Temperature Molten Salt Synthesis of III-V Semiconductor Nanocrystals
{}
{}
Benjamin F. Hammel
0000-0002-9155-9875
High-Temperature Molten Salt Synthesis of III-V Semiconductor Nanocrystals
{}
{}
Di Wang
0000-0002-5841-5060
High-Temperature Molten Salt Synthesis of III-V Semiconductor Nanocrystals
{}
{}
Stella Chariton
0000-0001-5522-0498
High-Pressure Yttrium Hydrides Synthesis and Characterization
{'Superconductivity up to 243\\u2009K in the yttrium-hydrogen system under high pressure': 'Title: Superconductivity up to 243\\u2009K in the yttrium-hydrogen system under high pressure\\nSuperconductivity up to 243 K in yttrium hydrides under high pressure \\n \\nP. P. Kong1, V. S. Minkov1, M. A. Kuzovnikov1,5, S. P. ...
{'Local electronic properties of La3Ni2O7 under pressure': 'Title: Local electronic properties of La3Ni2O7 under pressure\\narXiv:2308.09044v1 [cond-mat.supr-con] 17 Aug 2023High-Tcsuperconductivity by mobilizing local spin singlets andpossible route to higher Tcin pressurized La3Ni2O7Qiong Qin1, 2 and Yi-feng Yang1,...
Vitali Prakapenka
0000-0001-9270-2330
High-Pressure Yttrium Hydrides Synthesis and Characterization
{'Superconductivity up to 243 K in the yttrium-hydrogen system under high pressure': 'Title: Superconductivity up to 243 K in the yttrium-hydrogen system under high pressure\\nSuperconductivity up to 243 K in yttrium hydrides under high pressure \\n \\nP. P. Kong1, V. S. Minkov1, M. A. Kuzovnikov1,5, S. P. Besedin1, A....
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
Tabish Iqbal
0000-0002-2479-8729
Enhanced 1-Alkene Production via Chimeric UndB-Catalase Biocatalyst
{'Functional production and biochemical investigation of an integral membrane enzyme for olefin biosynthesis': 'Title: Functional production and biochemical investigation of an integral membrane enzyme for olefin biosynthesis\\nAbstract ......................................................................................
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
Subhashini Murugan
0000-0002-4433-9191
Enhanced 1-Alkene Production via Chimeric UndB-Catalase Biocatalyst
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'The Catalytic Mechanism of Key Enzymes Involved in the Synthesis of Ergothioneine in Lentinula edodes': 'Title: The Catalytic Mechanism of Key Enzymes Involved in the Synthesis of Ergothioneine in Lentinula edodes\\nSEPTEMBER27th-30th 2022CROWNE PLAZABelgrade, Serbia~ ~ ~ELECTRONICABSTRACT BOOK~ ~ ~ ~ ORGANIZING COM...
Momoka Miyoshi
0009-0009-0454-1887
Self-Assembly of Titanate Nanosheets
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
Jixiu Niu
0009-0007-0041-9273
Allochroic Copper Iodide LEDs
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
David Grass
0000-0003-1781-0969
Pump-Probe Microscopy for Pigment Identification in Art
{'Investigation of Artists Pigments with a Nonlinear Microscopy Technique': 'Title: Investigation of Artists Pigments with a Nonlinear Microscopy Technique\\nAbstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxii\\nCHAPTER\\n1. \\nIntroduction . . . . . . . . . . . . . . . . ....
{'On-Chip Polarization Light Microscopy': 'Title: On-Chip Polarization Light Microscopy\\nABSTRACT: Optical metasurfaces revolutionized the approach to moulding the propagation of \\nlight by enabling simultaneous control of the light phase, momentum, amplitude and polarization. \\nThus, instantaneous spectropolarimetr...
Liting Tao
0000-0001-7278-1115
Vapor Deposition of Perovskite Heterojunctions for X-ray Detection
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Phase Modulation on Low‐Dimensional Perovskite for High Performance Blue Light Emitting Diodes': "Title: Phase Modulation on Low‐Dimensional Perovskite for High Performance Blue Light Emitting Diodes\\n 저 시-비 리- 경 지 2.0 한민 는 아래 조건 르는 경 에 한하여 게 l 저 물 복제, 포, 전송, 전시, 공연 송할 수 습니다. 다 과 같 조건 라야 합니다: l 하는, 저 물 나...
Bowen Jin
-
Enhanced Perovskite Crystals for Radiation Detection
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Thermal Expansion Behavior of Halide Perovskite Single Crystals Across a Broad Temperature Range': 'Title: Thermal Expansion Behavior of Halide Perovskite Single Crystals Across a Broad Temperature Range\\nABSTRACT\\nHere I present a complete study of lattice dynamics of negative thermal ex-\\npansion (NTE) material ...
Rui Feng
0009-0008-4599-4447
Regioselective Late-Stage Functionalization of Osimertinib via Palladium-Catalyzed C-H Arylation
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
Yong-Qi Zhen
0000-0002-1537-7666
Regioselective Late-Stage Functionalization of Osimertinib via Palladium-Catalyzed C-H Arylation
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Design, synthesis, anti-inflammatory evaluation, and molecular docking studies of novel quinazoline-4(3H)-one-2-carbothioamide derivatives': 'Title: Design, synthesis, anti-inflammatory evaluation, and molecular docking studies of novel quinazoline-4(3H)-one-2-carbothioamide derivatives\\nDesign and synthesis of new1...
Dongbo Wu
0000-0003-4500-047X
Regioselective Late-Stage Functionalization of Osimertinib via Palladium-Catalyzed C-H Arylation
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
Jin-Bu Xu
0009-0005-4707-5186
Regioselective Late-Stage Functionalization of Osimertinib via Palladium-Catalyzed C-H Arylation
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
Lan Zhang
0000-0002-7572-1035
Regioselective Late-Stage Functionalization of Osimertinib via Palladium-Catalyzed C-H Arylation
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Design, synthesis, anti-inflammatory evaluation, and molecular docking studies of novel quinazoline-4(3H)-one-2-carbothioamide derivatives': 'Title: Design, synthesis, anti-inflammatory evaluation, and molecular docking studies of novel quinazoline-4(3H)-one-2-carbothioamide derivatives\\nDesign and synthesis of new1...
Bin Wu
0000-0002-8152-4011
Ion-Selective Membranes with Crown Ether-MOF Integration
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
Xingya Li
0000-0002-2824-6809
Ion-Selective Membranes with Crown Ether-MOF Integration
{'Metal–Organic Framework–Based Ion–Selective Membranes': 'Title: Metal–Organic Framework–Based Ion–Selective Membranes\\nAbstract Inorganic contaminants, such as fluoride and arsenic are problematic inorganic contaminants due to major human health risk and relatively high levels of occurrence. Metal-organic frameworks...
{'MOF-derived Carbon-Based Materials for Energy-Related Applications.': "Title: MOF-derived Carbon-Based Materials for Energy-Related Applications.\\nYap, Min Hui and Fow, Kam Loon and Chen, George Zheng (2017) Synthesis and applications of MOF - derived porous nanostructures. Green Energy & Environment, 2 (3). pp. 218...
Jindong Chen
0000-0002-3940-9968
Noncentrosymmetric Pnictide NLO Materials
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Local Strain Engineering of Two-Dimensional Transition Metal Dichalcogenides Towards Quantum Emitters': 'Title: Local Strain Engineering of Two-Dimensional Transition Metal Dichalcogenides Towards Quantum Emitters\\nQuantum-dot-like states in molybdenum disulfide nanostructures due to the interplay\\nof local surface...
Huikang Jiang
-
Noncentrosymmetric Pnictide NLO Materials
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
Ning Ye
0000-0002-3679-4047
Noncentrosymmetric Pnictide NLO Materials
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
Chao-Hui Zhang
0009-0009-5002-1890
Ultralight Integrated Anode for Lithium Metal Batteries
{'Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$': 'Title: Pressure-induced formation of cubic lutetium hydrides derived from trigonal LuH$_3$\\nPressure-induced formation of cubic lutetium hydrides derived from trigonal LuH 3\\nOwen Moulding,1Samuel Gallego-Parra,2Yingzheng Gao,1Pi...
{'Research Progress of Silicon/Carbon Anodes in Lithium-Ion Batteries': "Title: Research Progress of Silicon/Carbon Anodes in Lithium-Ion Batteries\\nAbstract. People's need for energy is growing as science and technology advance, and finding effective ways to store and use energy has become crucial in today's world. D...
Bo-Zheng Liu
0000-0002-4642-3688
Ultralight Integrated Anode for Lithium Metal Batteries
{'Interfacial Characteristics of Na2FePO4F and Its Carbon Coated Material for Lithium/Sodium Hybrid Ion Battery': 'Title: Interfacial Characteristics of Na2FePO4F and Its Carbon Coated Material for Lithium/Sodium Hybrid Ion Battery\\nAbstract.................................................................................
{'Effect of CoO loading on electrochemical properties of activated carbon from sugarcane bagasse': 'Title: Effect of CoO loading on electrochemical properties of activated carbon from sugarcane bagasse\\nJournal of Analytical and Applied Pyrolysis 168 (2022) 105724Available online 23 September 20220165-2370/© 2022 The ...