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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12,781 to 12,840 of 15,427

Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Time
Razvan Mihai Popescu, David Gros, Andrei Botocan +3
cs.SEcs.AIcs.LGarXiv:2604.00917v12026
Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants
Deepak Nathani, Cheng Zhang, Chang Huan +7
cs.AIcs.LGcs.MAarXiv:2604.00842v12026
Do Phone-Use Agents Respect Your Privacy?
Zhengyang Tang, Ke Ji, Xidong Wang +19
cs.CRcs.AIcs.CLarXiv:2604.00986v22026
Revision or Re-Solving? Decomposing Second-Pass Gains in Multi-LLM Pipelines
Jingjie Ning, Xueqi Li, Chengyu Yu
cs.SEcs.AIcs.CLarXiv:2604.01029v22026
Woosh: A Sound Effects Foundation Model
Gaëtan Hadjeres, Marc Ferras, Khaled Koutini +7
cs.SDcs.AIcs.LGarXiv:2604.01929v32026
Executing as You Generate: Hiding Execution Latency in LLM Code Interpreters
Zhensu Sun, Zhihao Lin, Zhi Chen +4
cs.PLcs.AIcs.SEarXiv:2604.00491v22026
CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery
Ao Qu, Han Zheng, Zijian Zhou +14
cs.AIarXiv:2604.01658v22026
Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies
Zhanzhi Lou, Hui Chen, Yibo Li +2
cs.LGcs.AIarXiv:2604.00830v32026
AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks
Prince Zizhuang Wang, Shuli Jiang
cs.AIcs.SIarXiv:2604.01487v22026
UniMixer: A Unified Architecture for Scaling Laws in Recommendation Systems
Mingming Ha, Guanchen Wang, Linxun Chen +9
cs.IRcs.AIarXiv:2604.00590v22026
HippoCamp: Benchmarking Contextual Agents on Personal Computers
Zhe Yang, Shulin Tian, Kairui Hu +9
cs.AIcs.CVarXiv:2604.01221v12026
Summaries:한국어
Paper Reconstruction Evaluation: Evaluating Presentation and Hallucination in AI-written Papers
Atsuyuki Miyai, Mashiro Toyooka, Zaiying Zhao +3
cs.CLcs.AIcs.LGarXiv:2604.01128v12026
Brainstacks: Cross-Domain Cognitive Capabilities via Frozen MoE-LoRA Stacks for Continual LLM Learning
Mohammad R. Abu Ayyash
cs.CLcs.AIarXiv:2604.01152v12026
ActionParty: Multi-Subject Action Binding in Generative Video Games
Alexander Pondaven, Ziyi Wu, Igor Gilitschenski +4
cs.CVcs.AIcs.LGarXiv:2604.02330v22026
Tex3D: Objects as Attack Surfaces via Adversarial 3D Textures for Vision-Language-Action Models
Jiawei Chen, Simin Huang, Jiawei Du +5
cs.CVcs.AIarXiv:2604.01618v12026
Omni123: Exploring 3D Native Foundation Models with Limited 3D Data by Unifying Text to 2D and 3D Generation
Chongjie Ye, Cheng Cao, Chuanyu Pan +4
cs.CVcs.AIarXiv:2604.02289v12026
Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory
Jiaqi Liu, Zipeng Ling, Shi Qiu +9
cs.AIarXiv:2604.01007v22026
GPA: Learning GUI Process Automation from Demonstrations
Zirui Zhao, Jun Hao Liew, Yan Yang +5
cs.CVcs.AIcs.SEarXiv:2604.01676v22026
Therefore I am. I Think
Esakkivel Esakkiraja, Sai Rajeswar, Denis Akhiyarov +1
cs.AIarXiv:2604.01202v32026
Steerable Visual Representations
Jona Ruthardt, Manu Gaur, Deva Ramanan +2
cs.CVcs.AIarXiv:2604.02327v22026
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook
Xinlei Yu, Zhangquan Chen, Yongbo He +36
cs.AIarXiv:2604.02029v22026
DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning
Yang Zhou, Xiaofeng Wang, Hao Shao +8
cs.CVcs.AIcs.ROarXiv:2604.01765v12026
Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
Gengsheng Li, Tianyu Yang, Junfeng Fang +6
cs.LGcs.AIarXiv:2604.02288v12026
ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement
Difan Jiao, Qianfeng Wen, Blair Yang +2
cs.AIarXiv:2604.01591v22026
Large Language Models Align with the Human Brain during Creative Thinking
Mete Ismayilzada, Simone A. Luchini, Abdulkadir Gokce +5
q-bio.NCcs.AIcs.CLarXiv:2604.03480v22026
BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs
Nicolas Boizard, Théo Deschamps-Berger, Hippolyte Gisserot-Boukhlef +2
cs.CLcs.AIarXiv:2604.02045v12026
AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents
Yunhao Feng, Yifan Ding, Yingshui Tan +6
cs.AIarXiv:2604.02947v12026
Born Again Neural Networks
Tommaso Furlanello, Zachary C. Lipton, Michael Tschannen +2
stat.MLcs.AIcs.LGarXiv:1805.04770v22018
Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan
Ahan Chatterjee, Matthias Schöffel, Matthias Aßenmacher +2
cs.CLcs.AIarXiv:2605.09156v22026
ClawArena: Benchmarking AI Agents in Evolving Information Environments
Haonian Ji, Kaiwen Xiong, Siwei Han +9
cs.LGcs.AIcs.CLarXiv:2604.04202v22026
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning
Ornith Team, Xiaoya Li, Guoyin Wang +3
cs.AIarXiv:2604.02721v32026
Watch Before You Answer: Learning from Visually Grounded Post-Training
Yuxuan Zhang, EunJeong Hwang, Huaisong Zhang +8
cs.CVcs.AIcs.CLarXiv:2604.05117v12026
Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems
Justin Chih-Yao Chen, Archiki Prasad, Zaid Khan +4
cs.LGcs.AIcs.CLarXiv:2604.04767v12026
SkillX: Automatically Constructing Skill Knowledge Bases for Agents
Chenxi Wang, Zhuoyun Yu, Xin Xie +8
cs.CLcs.AIcs.IRarXiv:2604.04804v22026
InCoder-32B-Thinking: Industrial Code World Model for Thinking
Jian Yang, Wei Zhang, Jiajun Wu +22
cs.ARcs.AIcs.CLarXiv:2604.03144v12026
Do Audio-Visual Large Language Models Really See and Hear?
Ramaneswaran Selvakumar, Kaousheik Jayakumar, S Sakshi +3
cs.AIcs.SDarXiv:2604.02605v12026
Beyond the Assistant Turn: User Turn Generation as a Probe of Interaction Awareness in Language Models
Sarath Shekkizhar, Romain Cosentino, Adam Earle
cs.AIarXiv:2604.02315v22026
LightThinker++: From Reasoning Compression to Memory Management
Yuqi Zhu, Jintian Zhang, Zhenjie Wan +7
cs.CLcs.AIcs.IRarXiv:2604.03679v12026
Squeez: Task-Conditioned Tool-Output Pruning for Coding Agents
Ádám Kovács
cs.SEcs.AIarXiv:2604.04979v12026
Can LLMs Learn to Reason Robustly under Noisy Supervision?
Shenzhi Yang, Guangcheng Zhu, Bowen Song +7
cs.LGcs.AIarXiv:2604.03993v12026
Vero: An Open RL Recipe for General Visual Reasoning
Gabriel Sarch, Linrong Cai, Qunzhong Wang +3
cs.CVcs.AIcs.CLarXiv:2604.04917v32026
Paper Espresso: From Paper Overload to Research Insight
Mingzhe Du, Luu Anh Tuan, Dong Huang +1
cs.DLcs.AIarXiv:2604.04562v12026
Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw
Zijun Wang, Haoqin Tu, Letian Zhang +11
cs.CRcs.AIcs.CLarXiv:2604.04759v12026
FileGram: Grounding Agent Personalization in File-System Behavioral Traces
Shuai Liu, Shulin Tian, Kairui Hu +6
cs.CVcs.AIarXiv:2604.04901v12026
REAM: Merging Improves Pruning of Experts in LLMs
Saurav Jha, Maryam Hashemzadeh, Ali Saheb Pasand +3
cs.AIcs.CLcs.LGarXiv:2604.04356v12026
MedGemma 1.5 Technical Report
Andrew Sellergren, Chufan Gao, Fereshteh Mahvar +39
cs.AIarXiv:2604.05081v22026
ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces
Xiangyi Li, Kyoung Whan Choe, Yimin Liu +12
cs.AIarXiv:2604.05172v22026
MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstracts
Weiyue Li, Ruizhi Qian, Yi Li +5
cs.CLcs.AIarXiv:2604.06505v12026
Neural Computers
Mingchen Zhuge, Changsheng Zhao, Haozhe Liu +16
cs.LGcs.AIarXiv:2604.06425v22026
FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios
Xiangru Jian, Hao Xu, Wei Pang +13
cs.CVcs.AIcs.LGarXiv:2604.07413v22026
SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems
Varun Pratap Bhardwaj
cs.AIcs.CLcs.IRarXiv:2604.04514v12026
Can Large Language Models Reinvent Foundational Algorithms?
Jian Zhao, Haoren Luo, Yu Wang +3
cs.AIarXiv:2604.05716v12026
MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control
Yuchi Wang, Haiyang Yu, Weikang Bian +4
cs.CVcs.AIcs.CLarXiv:2604.06156v12026
FactReview: Evidence-Grounded Peer Review with Execution-Based Claim Verification
Ling Yue, Chaoqian Ouyang, Hang Xu +7
cs.AIcs.LGarXiv:2604.04074v42026
Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability
Qihan Ren, Peng Wang, Ruikun Cai +8
cs.AIarXiv:2604.06628v22026
Qualixar OS: A Universal Operating System for AI Agent Orchestration
Varun Pratap Bhardwaj
cs.AIcs.MAcs.SEarXiv:2604.06392v12026
UniSpace: Unified Visual Representation and Scalable Multimodal Modeling
Jinbo Yan, Limeng Qiao, Jie Qin +3
cs.CVcs.AIarXiv:2608.08676v12026
Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning
Juekai Lin, Yun Zhu, Honglin Lin +6
cs.CVcs.AIarXiv:2604.06079v12026
TRACE: Capability-Targeted Agentic Training
Hangoo Kang, Tarun Suresh, Jon Saad-Falcon +1
cs.AIarXiv:2604.05336v22026
The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment
Rishab Balasubramanian, Pin-Jie Lin, Rituraj Sharma +6
cs.LGcs.AIarXiv:2604.06377v32026

Artificial Intelligence

Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Time

Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants

Do Phone-Use Agents Respect Your Privacy?

Revision or Re-Solving? Decomposing Second-Pass Gains in Multi-LLM Pipelines

Woosh: A Sound Effects Foundation Model

Executing as You Generate: Hiding Execution Latency in LLM Code Interpreters

CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies

AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks

UniMixer: A Unified Architecture for Scaling Laws in Recommendation Systems

HippoCamp: Benchmarking Contextual Agents on Personal Computers

Paper Reconstruction Evaluation: Evaluating Presentation and Hallucination in AI-written Papers

Brainstacks: Cross-Domain Cognitive Capabilities via Frozen MoE-LoRA Stacks for Continual LLM Learning

ActionParty: Multi-Subject Action Binding in Generative Video Games

Tex3D: Objects as Attack Surfaces via Adversarial 3D Textures for Vision-Language-Action Models

Omni123: Exploring 3D Native Foundation Models with Limited 3D Data by Unifying Text to 2D and 3D Generation

Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory

GPA: Learning GUI Process Automation from Demonstrations

Therefore I am. I Think

Steerable Visual Representations

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook

DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning

Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing

ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement

Large Language Models Align with the Human Brain during Creative Thinking

BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs

AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents

Born Again Neural Networks

Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan

ClawArena: Benchmarking AI Agents in Evolving Information Environments

GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning

Watch Before You Answer: Learning from Visually Grounded Post-Training

Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

InCoder-32B-Thinking: Industrial Code World Model for Thinking

Do Audio-Visual Large Language Models Really See and Hear?

Beyond the Assistant Turn: User Turn Generation as a Probe of Interaction Awareness in Language Models

LightThinker++: From Reasoning Compression to Memory Management

Squeez: Task-Conditioned Tool-Output Pruning for Coding Agents

Can LLMs Learn to Reason Robustly under Noisy Supervision?

Vero: An Open RL Recipe for General Visual Reasoning

Paper Espresso: From Paper Overload to Research Insight

Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw

FileGram: Grounding Agent Personalization in File-System Behavioral Traces

REAM: Merging Improves Pruning of Experts in LLMs

MedGemma 1.5 Technical Report

ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces

MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstracts

Neural Computers

FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems

Can Large Language Models Reinvent Foundational Algorithms?

MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control

FactReview: Evidence-Grounded Peer Review with Execution-Based Claim Verification

Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability

Qualixar OS: A Universal Operating System for AI Agent Orchestration

UniSpace: Unified Visual Representation and Scalable Multimodal Modeling

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning

TRACE: Capability-Targeted Agentic Training

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment