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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19,621 to 19,680 of 27,748

EvoKnow: Continual Knowledge Evolution for AI-Generated Image Detection
Zhiheng Peng, Wenwei Jin, Yangshi Ge +3
cs.CVcs.AIarXiv:2610.11381v12026
Matching Matters: A Fair Quality-Efficiency Benchmark for Command-Line Agents
Han Chi, Jiaxin Qi, Yan Cui +2
cs.SEcs.AIarXiv:2606.21140v22026
Visually Grounded Reasoning across Languages and Cultures
Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti +3
cs.CLcs.AIcs.CVarXiv:2109.13238v22021
Equal Path Cost, Unequal Output Effects: Understanding Perturbation Propagation in Diffusion Models
Wei Guo, Yaowen Zhang, Xingtong Ge +1
cs.AIarXiv:2610.11380v12026
GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training
Adithyavairavan Murali, Balakumar Sundaralingam, Yu-Wei Chao +7
cs.ROcs.AIarXiv:2507.13097v12025
Subject-Relative Micro-Motion and Sleep Dynamics for Near-Infrared Video Sleep Staging
Kunmin Jang, You Rim Choi, Hun Heo +5
cs.CVcs.AIarXiv:2609.05550v12026
TRACE-Bench: Decomposing and Diagnosing Multi-Reference Image Generation
Haoran Wang, Chaofan Ma, Ran Yi +1
cs.CVcs.AIarXiv:2608.16765v12026
Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
Zhezheng Hao, Hong Wang, Haoyang Liu +6
cs.LGcs.AIarXiv:2510.10150v42025
InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
Yuchen Yan, Liang Jiang, Jin Jiang +7
cs.CLcs.AIarXiv:2602.06960v32026
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.CVarXiv:1610.00696v22016
Many-Shot CoT-ICL: Making In-Context Learning Truly Learn
Tsz Ting Chung, Lemao Liu, Mo Yu +1
cs.CLcs.AIarXiv:2605.13511v32026
Learning to Navigate in Complex Environments
Piotr Mirowski, Razvan Pascanu, Fabio Viola +9
cs.AIcs.CVcs.LGarXiv:1611.03673v32016
ALoDLM: Adaptively Looped Diffusion Language Models
Liancheng Fang, Zhuowei Li, Youngeun Kim +10
cs.AIcs.LGarXiv:2610.04198v12026
Jailbreaking in the Haystack
Rishi Rajesh Shah, Chen Henry Wu, Shashwat Saxena +3
cs.CRcs.AIcs.CLarXiv:2511.04707v22025
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco Cohen, Mario Geiger, Maurice Weiler
cs.LGcs.AIcs.CGarXiv:1811.02017v22018
Repair Before Reinforce: Context-Augmented Knowledge Graph Reasoning for Multi-Hop Question Answering
Tharaka D. Fonseka, Niraj K. Jha
cs.CLcs.AIarXiv:2609.12230v12026
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
Yifan Yang, Jiajun Zhou, Ngai Wong +1
cs.CLcs.AIcs.LGarXiv:2402.11417v12024
Understanding R1-Zero-Like Training: A Critical Perspective
Zichen Liu, Changyu Chen, Wenjun Li +5
cs.LGcs.AIcs.CLarXiv:2503.20783v22025
Extremely Sparse Supervision Incentivizes Reasoning Ability
Zhishuai Liu, Xingzi Xu, Mehmet Saygin Seyfioglu +2
cs.AIcs.CLcs.LGarXiv:2609.04565v12026
Why Do Conventional World Models Fail to Learn Cellular Automata?
Shaoyang Guo, Ziming Liu
cs.AIarXiv:2609.39604v12026
La Agente \'Optima: Towards Agentic Self-Driving Laboratories
Marcel Müller, Jiaru Bai, Willi Gottstein +14
cs.AIcs.MAphysics.chem-pharXiv:2609.04564v12026
From Persona to Personalization: A Survey on Role-Playing Language Agents
Jiangjie Chen, Xintao Wang, Rui Xu +15
cs.CLcs.AIarXiv:2404.18231v22024
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering
Fangyu Liu, Francesco Piccinno, Syrine Krichene +6
cs.CLcs.AIcs.CVarXiv:2212.09662v22022
PACE: A Proxy for Agentic Capability Evaluation
Yueqi Song, Lintang Sutawika, Jiarui Liu +8
cs.AIcs.CLarXiv:2607.02032v22026
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
Qize Yu, Lianrui Fan, Boyu Chen +23
cs.CVcs.AIcs.LGarXiv:2609.39601v12026
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
Daniel M. Bear, Elias Wang, Damian Mrowca +12
cs.AIcs.CVarXiv:2106.08261v32021
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea, Petar Veličković, Nikola Jovanović +2
stat.MLcs.AIcs.LGarXiv:1811.01287v12018
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence
Emilio Jorge, Mikael Kågebäck, Fredrik D. Johansson +1
cs.AIcs.CLcs.LGarXiv:1611.03218v42016
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report
Michael L. Littman, Ifeoma Ajunwa, Guy Berger +14
cs.AIarXiv:2210.15767v12022
ReCAST: Restoration-aware Cascaded Stage-wise Training for Obfuscated SMS Risk Classification
Jieyun Huang, Yi Shen, Kaikai Zhao +7
cs.CRcs.AIarXiv:2609.04878v12026
Multi-Turn On-Policy Distillation with Prefix Replay
Baohao Liao, Hanze Dong, Christof Monz +3
cs.LGcs.AIcs.CLarXiv:2607.04763v32026
Benchmarks for Automated Commonsense Reasoning: A Survey
Ernest Davis
cs.AIarXiv:2302.04752v22023
Comprehension Audits to Mitigate Risks from Automated AI Research
Ronald J. Bodkin, Bahrad A. Sokhansanj, Gillian K. Hadfield
cs.CYcs.AIcs.SEarXiv:2610.10064v12026
Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning
Andrea Agostini, Simon Böhi, Moritz Vandenhirtz +7
cs.AIarXiv:2609.12035v32026
Towards a universal language of concepts: A survey
Aishni Parab
cs.AIcs.PLcs.SCarXiv:2609.04528v12026
When Unpaired Sets Support Shared-Corruption Calibration: Moment Geometry and Two-Sample Precision
Shuheng Cao, Zhenhao Zhang, Ruiqi Chen +5
stat.MEcs.AImath.STarXiv:2609.26209v12026
On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
Hoigi Seo, Dong Un Kang, Hyunjin Cho +2
cs.CVcs.AIcs.CLarXiv:2510.09008v12025
Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents
Vardaan Pahuja, Yadong Lu, Corby Rosset +5
cs.AIcs.HCarXiv:2502.11357v42025
AVERT-VLN: Abstention-aware Visual Error Recovery and Training for Vision-and-Language Navigation
Minrui Liu, Jingke Wang, Yuehao Huang +4
cs.AIarXiv:2609.39579v12026
SVG-Score: Human-Aligned Evaluation of Text-to-SVG Generation
Marco Cipriano, Leonardo Zini, Alexandra Schild +5
cs.AIcs.CVarXiv:2609.03806v12026
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Guoyang Xie, Jinbao Wang, Jiaqi Liu +5
cs.CVcs.AIarXiv:2301.13359v52023
Ask Which, Not How Good: Sizing Benchmarks Scored by an LLM
Atul Anand
cs.AIarXiv:2609.27787v12026
DynaTE: Accelerating Diffusion LLMs via Dynamic Token Execution
Minghan Jiang, Jiayi Wang, Shuaiting Li +2
cs.ARcs.AIarXiv:2610.11284v12026
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki
cs.ROcs.AIcs.CVarXiv:2402.10885v32024
Steering Fields: Adaptive Vector Fields for Safe Image Generation and Beyond
Simone Facchiano, Jan Eric Lenssen, Bernt Schiele +3
cs.CVcs.AIarXiv:2609.39573v12026
CertVLA: Certified Defense against Physical Visual Attacks for Vision-Language-Action Models
Hui Lu, Zhijie Peng, Yuqi Lin +8
cs.CVcs.AIarXiv:2608.20791v12026
DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution
Shengda Fan, Xuyan Ye, Yankai Lin
cs.AIcs.CLarXiv:2601.13761v22026
A Unified Theory of Diversity in Ensemble Learning
Danny Wood, Tingting Mu, Andrew Webb +3
cs.LGcs.AIstat.MLarXiv:2301.03962v32023
From Interaction Traces to Persistent Skills: Online Evolution for Computer-Use Agents
Longtao Hu, Xiao Liang, Linchao Zhu
cs.AIarXiv:2609.04869v12026
SkillHarness: Harnessing Safe Skills for Computer-Use Agents
Yurun Chen, Biao Yi, Keting Yin +1
cs.AIcs.CLcs.CRarXiv:2606.20636v12026
Speculative Safety Honeypot: Toward Proactive Defense Against Multi-turn Agent Attacks
Zezhong Wang, Xueyang Tang, Rui Lian +2
cs.CRcs.AIcs.CLarXiv:2609.39549v12026
GTAlign: Game-Theoretic Alignment of LLM Assistants for Social Welfare
Siqi Zhu, David Zhang, Pedro Cisneros-Velarde +1
cs.AIcs.GTcs.HCarXiv:2510.08872v32025
Learning Montezuma's Revenge from a Single Demonstration
Tim Salimans, Richard Chen
cs.LGcs.AIcs.NEarXiv:1812.03381v12018
ShadowDraw: From Any Object to Shadow-Drawing Compositional Art
Rundong Luo, Noah Snavely, Wei-Chiu Ma
cs.CVcs.AIcs.GRarXiv:2512.05110v12025
Harness Compilation: Which Decisions Should a Small Vision-Language Model Keep?
Minhao Fan, Yinyi Liu, Jiayu Zhao +3
cs.AIcs.CVarXiv:2610.11231v12026
Large Language Models Meet NL2Code: A Survey
Daoguang Zan, Bei Chen, Fengji Zhang +5
cs.SEcs.AIcs.CLarXiv:2212.09420v22022
Learning Executable Semantic Parsers for Natural Language Understanding
Percy Liang
cs.CLcs.AIarXiv:1603.06677v12016
"No, to the Right" -- Online Language Corrections for Robotic Manipulation via Shared Autonomy
Yuchen Cui, Siddharth Karamcheti, Raj Palleti +3
cs.ROcs.AIcs.CLarXiv:2301.02555v12023
Shared circuits predict whether LLMs generalize across formats in arithmetic reasoning
Andrea Gregor de Varda, Sana Pandey, Pengrui Han +2
cs.CLcs.AIarXiv:2609.04463v12026
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution
Terry Yue Zhuo, Xiaolong Jin, Hange Liu +37
cs.SEcs.AIcs.CLarXiv:2510.08697v22025

Artificial Intelligence

EvoKnow: Continual Knowledge Evolution for AI-Generated Image Detection

Matching Matters: A Fair Quality-Efficiency Benchmark for Command-Line Agents

Visually Grounded Reasoning across Languages and Cultures

Equal Path Cost, Unequal Output Effects: Understanding Perturbation Propagation in Diffusion Models

GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training

Subject-Relative Micro-Motion and Sleep Dynamics for Near-Infrared Video Sleep Staging

TRACE-Bench: Decomposing and Diagnosing Multi-Reference Image Generation

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective

InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning

Deep Visual Foresight for Planning Robot Motion

Many-Shot CoT-ICL: Making In-Context Learning Truly Learn

Learning to Navigate in Complex Environments

ALoDLM: Adaptively Looped Diffusion Language Models

Jailbreaking in the Haystack

A General Theory of Equivariant CNNs on Homogeneous Spaces

Repair Before Reinforce: Context-Augmented Knowledge Graph Reasoning for Multi-Hop Question Answering

LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models

Understanding R1-Zero-Like Training: A Critical Perspective

Extremely Sparse Supervision Incentivizes Reasoning Ability

Why Do Conventional World Models Fail to Learn Cellular Automata?

La Agente \'Optima: Towards Agentic Self-Driving Laboratories

From Persona to Personalization: A Survey on Role-Playing Language Agents

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering

PACE: A Proxy for Agentic Capability Evaluation

GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Towards Sparse Hierarchical Graph Classifiers

Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report

ReCAST: Restoration-aware Cascaded Stage-wise Training for Obfuscated SMS Risk Classification

Multi-Turn On-Policy Distillation with Prefix Replay

Benchmarks for Automated Commonsense Reasoning: A Survey

Comprehension Audits to Mitigate Risks from Automated AI Research

Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning

Towards a universal language of concepts: A survey

When Unpaired Sets Support Shared-Corruption Calibration: Moment Geometry and Two-Sample Precision

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

Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents

AVERT-VLN: Abstention-aware Visual Error Recovery and Training for Vision-and-Language Navigation

SVG-Score: Human-Aligned Evaluation of Text-to-SVG Generation

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing

Ask Which, Not How Good: Sizing Benchmarks Scored by an LLM

DynaTE: Accelerating Diffusion LLMs via Dynamic Token Execution

3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Steering Fields: Adaptive Vector Fields for Safe Image Generation and Beyond

CertVLA: Certified Defense against Physical Visual Attacks for Vision-Language-Action Models

DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution

A Unified Theory of Diversity in Ensemble Learning

From Interaction Traces to Persistent Skills: Online Evolution for Computer-Use Agents

SkillHarness: Harnessing Safe Skills for Computer-Use Agents

Speculative Safety Honeypot: Toward Proactive Defense Against Multi-turn Agent Attacks

GTAlign: Game-Theoretic Alignment of LLM Assistants for Social Welfare

Learning Montezuma's Revenge from a Single Demonstration

ShadowDraw: From Any Object to Shadow-Drawing Compositional Art

Harness Compilation: Which Decisions Should a Small Vision-Language Model Keep?

Large Language Models Meet NL2Code: A Survey

Learning Executable Semantic Parsers for Natural Language Understanding

"No, to the Right" -- Online Language Corrections for Robotic Manipulation via Shared Autonomy

Shared circuits predict whether LLMs generalize across formats in arithmetic reasoning

BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution