Artificial Intelligence

Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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4,501 to 4,560 of 15,269

EDGE: Error Dependency Graph-Guided Multi-Error Attribution in Multi-Agent LLM Systems
Jun Hou, Priya Pitre, Yi Fang +1
cs.AIarXiv:2609.01360v12026
Efficient Large-Scale Multi-Modal Classification
D. Kiela, E. Grave, A. Joulin +1
cs.CLcs.AIcs.CVarXiv:1802.02892v12018
Dion: Distributed Orthonormalized Updates
Kwangjun Ahn, Byron Xu, Natalie Abreu +5
cs.LGcs.AImath.OCarXiv:2504.05295v32025
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary
Masataro Asai, Alex Fukunaga
cs.AIarXiv:1705.00154v32017
A Study of Reinforcement Learning for Neural Machine Translation
Lijun Wu, Fei Tian, Tao Qin +2
cs.LGcs.AIstat.MLarXiv:1808.08866v12018
Beyond the Clock: Measuring the Value of Adaptive Revision
Ayushi Chadha
cs.AIarXiv:2609.00874v12026
Molecular-driven Foundation Model for Oncologic Pathology
Anurag Vaidya, Andrew Zhang, Guillaume Jaume +15
cs.CVcs.AIarXiv:2501.16652v12025
Towards Generalizable Visually Grounded Exploration of Household Devices
Linhao Zheng, Zeming Liu, Wangke Chen +4
cs.AIarXiv:2609.00845v12026
When Features Become Instances: Inverted Contrastive Learning for Unsupervised Feature Selection
Utsab Ghosh, Roshni Chakraborty
cs.AIcs.CLarXiv:2609.00782v12026
Self-Reports Are Not Verification: Environment-Grounded Auditing of LLM Operators in Evolutionary Search
Enrong Pan, Ryan Zhou, Ting Hu
cs.AIcs.LGcs.NEarXiv:2609.00652v12026
Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge
Swarnadeep Saha, Xian Li, Marjan Ghazvininejad +2
cs.AIcs.CLarXiv:2501.18099v22025
Wave Function Backpropagation with Explicit Temporal-Interval Dynamics
Byunggu Yu, Justin Kim
cs.AIarXiv:2609.00503v12026
Sekai: A Video Dataset towards World Exploration
Zhen Li, Chuanhao Li, Xiaofeng Mao +17
cs.CVcs.AIarXiv:2506.15675v32025
A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education
Yang Ni, Fanli Jia
cs.CYcs.AIcs.HCarXiv:2603.16204v12026
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
Mingyuan Wu, Jingcheng Yang, Jize Jiang +6
cs.LGcs.AIarXiv:2505.19255v42025
A Convenient Category for Higher-Order Probability Theory
Chris Heunen, Ohad Kammar, Sam Staton +1
cs.PLcs.AIcs.LOarXiv:1701.02547v42017
Creating General User Models from Computer Use
Omar Shaikh, Shardul Sapkota, Shan Rizvi +4
cs.HCcs.AIcs.CLarXiv:2505.10831v32025
HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation
Ken Ding
cs.LGcs.AIarXiv:2603.23871v12026
Hallucinated Neural Radiance Fields in the Wild
Xingyu Chen, Qi Zhang, Xiaoyu Li +4
cs.CVcs.AIarXiv:2111.15246v32021
Cartridges: Lightweight and general-purpose long context representations via self-study
Sabri Eyuboglu, Ryan Ehrlich, Simran Arora +8
cs.CLcs.AIcs.LGarXiv:2506.06266v32025
Detect Before You Attribute: Cascade Failure Attribution for Multi-Agent Systems
Jiayi Zhang, Zexin Wang, Degang Sun +4
cs.AIcs.MAarXiv:2608.29646v12026
The Invisible Leash: Why RLVR May or May Not Escape Its Origin
Fang Wu, Weihao Xuan, Ximing Lu +4
cs.LGcs.AIcs.CLarXiv:2507.14843v42025
Towards Understanding Camera Motions in Any Video
Zhiqiu Lin, Siyuan Cen, Daniel Jiang +12
cs.CVcs.AIcs.CLarXiv:2504.15376v22025
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Oliver Scheel, Luca Bergamini, Maciej Wołczyk +2
cs.ROcs.AIcs.CVarXiv:2109.13333v12021
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
Tianbao Xie, Siheng Zhao, Chen Henry Wu +5
cs.LGcs.AIcs.CLarXiv:2309.11489v32023
Parametrized quantum policies for reinforcement learning
Sofiene Jerbi, Casper Gyurik, Simon C. Marshall +2
quant-phcs.AIcs.LGarXiv:2103.05577v22021
MedRAX: Medical Reasoning Agent for Chest X-ray
Adibvafa Fallahpour, Jun Ma, Alif Munim +2
cs.LGcs.AIcs.MAarXiv:2502.02673v22025
Overtrained Language Models Are Harder to Fine-Tune
Jacob Mitchell Springer, Sachin Goyal, Kaiyue Wen +5
cs.CLcs.AIarXiv:2503.19206v22025
Character-Level Question Answering with Attention
David Golub, Xiaodong He
cs.CLcs.AIcs.LGarXiv:1604.00727v42016
LHM: Large Animatable Human Reconstruction Model from a Single Image in Seconds
Lingteng Qiu, Xiaodong Gu, Peihao Li +8
cs.CVcs.AIarXiv:2503.10625v12025
Generating 3D Molecules for Target Protein Binding
Meng Liu, Youzhi Luo, Kanji Uchino +2
q-bio.BMcs.AIcs.LGarXiv:2204.09410v22022
SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning
Guangyuan Wang, Mads Toftrup, Sebastian Loeschcke +2
cs.LGcs.AImath.OCarXiv:2608.29448v12026
Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models
Yubo Li, Xiaobin Shen, Yidi Miao +4
cs.CLcs.AIarXiv:2504.04717v62025
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot, Rebecca Roelofs, Kihyuk Sohn +2
cs.LGcs.AIcs.CVarXiv:2106.04732v22021
A Survey on Vision-Language-Action Models for Autonomous Driving
Sicong Jiang, Zilin Huang, Kangan Qian +17
cs.CVcs.AIcs.ROarXiv:2506.24044v12025
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng +4
cs.CLcs.AIarXiv:2406.00922v32024
EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
Xiaoshuai Song, Haofei Chang, Guanting Dong +3
cs.CLcs.AIcs.LGarXiv:2601.05808v22026
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics
Johannes Ackermann, Volker Gabler, Takayuki Osa +1
cs.LGcs.AIcs.MAarXiv:1910.01465v22019
Diffusion Language Models Know the Answer Before Decoding
Pengxiang Li, Yefan Zhou, Dilxat Muhtar +5
cs.CLcs.AIarXiv:2508.19982v52025
Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation
Ante Kapetanovic, Tomislav Duricic, Andro Mercep +1
cs.CLcs.AIarXiv:2609.00086v12026
Open Benchmarking for Click-Through Rate Prediction
Jieming Zhu, Jinyang Liu, Shuai Yang +2
cs.IRcs.AIarXiv:2009.05794v62020
The Answer Is Not the Argument
Will Yeadon, Sergio Juárez, Paul Mackay +5
cs.AIarXiv:2609.00264v12026
UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility
Yonglin Tian, Fei Lin, Yiduo Li +11
cs.ROcs.AIarXiv:2501.02341v22025
Textless Speech-to-Speech Translation on Real Data
Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne +8
cs.CLcs.AIcs.LGarXiv:2112.08352v22021
Humanoid Policy ~ Human Policy
Ri-Zhao Qiu, Shiqi Yang, Xuxin Cheng +12
cs.ROcs.AIcs.CVarXiv:2503.13441v32025
PAGE-RAG: Provenance-Aware Graph Evidence Promotion for Fixed-Budget Multi-hop Retrieval-Augmented Generation
Haokun Deng, Xunkai Li, Hongchao Qin +1
cs.AIarXiv:2608.29753v12026
Acting Less is Reasoning More! Teaching Model to Act Efficiently
Hongru Wang, Cheng Qian, Wanjun Zhong +7
cs.AIcs.CLarXiv:2504.14870v22025
Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge
Boyu Gou, Zanming Huang, Yuting Ning +23
cs.AIcs.CLarXiv:2506.21506v22025
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation
Pinxin Long, Wenxi Liu, Jia Pan
cs.AIcs.CVcs.ROarXiv:1609.06838v22016
MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
Rongyu Zhang, Menghang Dong, Yuan Zhang +6
cs.ROcs.AIarXiv:2503.20384v22025
The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
Akshit Sinha, Arvindh Arun, Shashwat Goel +2
cs.AIarXiv:2509.09677v32025
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
Triet H. M. Le, Hao Chen, M. Ali Babar
cs.SEcs.AIcs.LGarXiv:2002.05442v12020
Near Optimal Behavior via Approximate State Abstraction
David Abel, D. Ellis Hershkowitz, Michael L. Littman
cs.LGcs.AIarXiv:1701.04113v12017
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
Haozhen Zhang, Tao Feng, Jiaxuan You
cs.CLcs.AIcs.LGarXiv:2506.09033v32025
Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats
Xinhao Deng, Yixiang Zhang, Jiaqing Wu +15
cs.CRcs.AIarXiv:2603.11619v12026
Efficient Reasoning Models: A Survey
Sicheng Feng, Gongfan Fang, Xinyin Ma +1
cs.CLcs.AIarXiv:2504.10903v22025
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
Thinh Pham, Nguyen Nguyen, Pratibha Zunjare +3
cs.CLcs.AIcs.LGarXiv:2506.01062v42025
Talk Isn't Always Cheap: Understanding Failure Modes in Multi-Agent Debate
Andrea Wynn, Harsh Satija, Gillian Hadfield
cs.CLcs.AIcs.MAarXiv:2509.05396v22025
Learning Latent Action World Models In The Wild
Quentin Garrido, Tushar Nagarajan, Basile Terver +3
cs.AIcs.CVarXiv:2601.05230v22026
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu +1
cs.CLcs.AIarXiv:2310.07849v22023

Artificial Intelligence

EDGE: Error Dependency Graph-Guided Multi-Error Attribution in Multi-Agent LLM Systems

Efficient Large-Scale Multi-Modal Classification

Dion: Distributed Orthonormalized Updates

Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

A Study of Reinforcement Learning for Neural Machine Translation

Beyond the Clock: Measuring the Value of Adaptive Revision

Molecular-driven Foundation Model for Oncologic Pathology

Towards Generalizable Visually Grounded Exploration of Household Devices

When Features Become Instances: Inverted Contrastive Learning for Unsupervised Feature Selection

Self-Reports Are Not Verification: Environment-Grounded Auditing of LLM Operators in Evolutionary Search

Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge

Wave Function Backpropagation with Explicit Temporal-Interval Dynamics

Sekai: A Video Dataset towards World Exploration

A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education

VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use

A Convenient Category for Higher-Order Probability Theory

Creating General User Models from Computer Use

HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation

Hallucinated Neural Radiance Fields in the Wild

Cartridges: Lightweight and general-purpose long context representations via self-study

Detect Before You Attribute: Cascade Failure Attribution for Multi-Agent Systems

The Invisible Leash: Why RLVR May or May Not Escape Its Origin

Towards Understanding Camera Motions in Any Video

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

Parametrized quantum policies for reinforcement learning

MedRAX: Medical Reasoning Agent for Chest X-ray

Overtrained Language Models Are Harder to Fine-Tune

Character-Level Question Answering with Attention

LHM: Large Animatable Human Reconstruction Model from a Single Image in Seconds

Generating 3D Molecules for Target Protein Binding

SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning

Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models

AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation

A Survey on Vision-Language-Action Models for Autonomous Driving

MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning

EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis

Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

Diffusion Language Models Know the Answer Before Decoding

Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation

Open Benchmarking for Click-Through Rate Prediction

The Answer Is Not the Argument

UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility

Textless Speech-to-Speech Translation on Real Data

Humanoid Policy ~ Human Policy

PAGE-RAG: Provenance-Aware Graph Evidence Promotion for Fixed-Budget Multi-hop Retrieval-Augmented Generation

Acting Less is Reasoning More! Teaching Model to Act Efficiently

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

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs

Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges

Near Optimal Behavior via Approximate State Abstraction

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning

Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats

Efficient Reasoning Models: A Survey

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

Talk Isn't Always Cheap: Understanding Failure Modes in Multi-Agent Debate

Learning Latent Action World Models In The Wild

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations