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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12,541 to 12,600 of 15,247

Revisiting the Platonic Representation Hypothesis: An Aristotelian View
Fabian Gröger, Shuo Wen, Maria Brbić
cs.LGcs.AIcs.CVarXiv:2602.14486v22026
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
Wenqi Fan, Yujuan Ding, Liangbo Ning +5
cs.CLcs.AIcs.IRarXiv:2405.06211v32024
CUA-Skill: Develop Skills for Computer Using Agent
Tianyi Chen, Yinheng Li, Michael Solodko +12
cs.AIarXiv:2601.21123v22026
Kernels for Vector-Valued Functions: a Review
Mauricio A. Alvarez, Lorenzo Rosasco, Neil D. Lawrence
stat.MLcs.AImath.STarXiv:1106.6251v22011
MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
MiroMind Team, S. Bai, L. Bing +41
cs.CLcs.AIcs.IRarXiv:2603.15726v12026
UI-Venus-1.5 Technical Report
Venus Team, Changlong Gao, Zhangxuan Gu +24
cs.CVcs.AIcs.CLarXiv:2602.09082v22026
Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory
Ruiqi Wu, Xuanhua He, Meng Cheng +8
cs.CVcs.AIarXiv:2602.02393v22026
TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
Shirui Chen, Cole Harrison, Ying-Chun Lee +6
cs.ROcs.AIcs.LGarXiv:2602.19313v22026
Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
Haoming Meng, Kexin Huang, Shaohang Wei +6
cs.CLcs.AIcs.LGarXiv:2603.22446v12026
FeUdal Networks for Hierarchical Reinforcement Learning
Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul +4
cs.AIarXiv:1703.01161v22017
Selective Classification for Deep Neural Networks
Yonatan Geifman, Ran El-Yaniv
cs.LGcs.AIarXiv:1705.08500v22017
A General Theoretical Paradigm to Understand Learning from Human Preferences
Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot +4
cs.AIcs.LGstat.MLarXiv:2310.12036v22023
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Yuval Kirstain, Adam Polyak, Uriel Singer +3
cs.CVcs.AIarXiv:2305.01569v22023
Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov +1
cs.LGcs.AIstat.MEarXiv:1511.02222v12015
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang, Hongye Jin, Ruixiang Tang +5
cs.CLcs.AIcs.LGarXiv:2304.13712v22023
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Peiyi Wang, Lei Li, Zhihong Shao +6
cs.AIcs.CLcs.LGarXiv:2312.08935v32023
Feature Hashing for Large Scale Multitask Learning
Kilian Weinberger, Anirban Dasgupta, Josh Attenberg +2
cs.AIarXiv:0902.2206v52009
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Anusha Nagabandi, Gregory Kahn, Ronald S. Fearing +1
cs.LGcs.AIcs.ROarXiv:1708.02596v22017
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience
Taofeng Xue, Chong Peng, Mianqiu Huang +13
cs.AIarXiv:2601.15876v22026
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
Mengzhang Li, Zhanxing Zhu
cs.LGcs.AIarXiv:2012.09641v22020
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
Yuwen Du, Rui Ye, Shuo Tang +4
cs.AIcs.CLarXiv:2603.15594v12026
Learning to reinforcement learn
Jane X Wang, Zeb Kurth-Nelson, Dhruva Tirumala +6
cs.LGcs.AIstat.MLarXiv:1611.05763v32016
Interactive Attention Networks for Aspect-Level Sentiment Classification
Dehong Ma, Sujian Li, Xiaodong Zhang +1
cs.AIcs.CLarXiv:1709.00893v12017
A Survey on Large Language Models for Code Generation
Juyong Jiang, Fan Wang, Jiasi Shen +2
cs.CLcs.AIcs.SEarXiv:2406.00515v22024
Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance
Yiqi Lin, Guoqiang Liang, Ziyun Zeng +3
cs.CVcs.AIarXiv:2603.02175v42026
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar +2
cs.AIcs.CLcs.CVarXiv:1707.09457v12017
REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
Zheng Chu, Xiao Wang, Jack Hong +11
cs.AIcs.CLarXiv:2602.14234v12026
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Lai Wei, Liangbo He, Jun Lan +9
cs.CVcs.AIcs.CLarXiv:2602.11858v22026
Hindsight Credit Assignment for Long-Horizon LLM Agents
Hui-Ze Tan, Xiao-Wen Yang, Hao Chen +7
cs.LGcs.AIarXiv:2603.08754v12026
Summaries:简体中文
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
Zhaoyang Wang, Canwen Xu, Boyi Liu +5
cs.AIcs.CLcs.LGarXiv:2602.10090v32026
RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation
Sunzhu Li, Jiale Zhao, Miteto Wei +6
cs.AIarXiv:2601.08430v22026
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Taicheng Guo, Xiuying Chen, Yaqi Wang +5
cs.CLcs.AIcs.MAarXiv:2402.01680v22024
Pre-Trained Models: Past, Present and Future
Xu Han, Zhengyan Zhang, Ning Ding +21
cs.AIcs.CLarXiv:2106.07139v32021
Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
Wenxuan Huang, Yu Zeng, Qiuchen Wang +14
cs.CVcs.AIarXiv:2601.22060v32026
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue, Yujing Wang, Juanyong Duan +4
cs.LGcs.AIarXiv:2106.10466v42021
RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
Yinpei Dai, Hongze Fu, Jayjun Lee +6
cs.ROcs.AIarXiv:2603.04639v32026
Natural-Language Agent Harnesses
Linyue Pan, Lexiao Zou, Shuo Guo +2
cs.CLcs.AIarXiv:2603.25723v22026
Kimi K2.5: Visual Agentic Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +334
cs.CLcs.AIcs.LGarXiv:2602.02276v22026
Summaries:한국어
Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
Yuqian Fu, Haohuan Huang, Kaiwen Jiang +4
cs.LGcs.AIcs.CLarXiv:2603.25562v22026
Meta-Harness: End-to-End Optimization of Model Harnesses
Yoonho Lee, Roshen Nair, Qizheng Zhang +3
cs.AIarXiv:2603.28052v12026
Towards a Science of AI Agent Reliability
Stephan Rabanser, Sayash Kapoor, Peter Kirgis +3
cs.AIcs.CYcs.LGarXiv:2602.16666v32026
Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation
Wenkai Yang, Weijie Liu, Ruobing Xie +3
cs.LGcs.AIcs.CLarXiv:2602.12125v22026
LLaDA2.1: Speeding Up Text Diffusion via Token Editing
Tiwei Bie, Maosong Cao, Xiang Cao +47
cs.LGcs.AIarXiv:2602.08676v32026
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
Xiangyi Li, Yimin Liu, Wenbo Chen +75
cs.AIarXiv:2602.12670v42026
Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
Jingwei Ni, Yihao Liu, Xinpeng Liu +7
cs.AIarXiv:2603.25158v52026
Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding
Christopher Clark, Jieyu Zhang, Zixian Ma +18
cs.CVcs.AIarXiv:2601.10611v42026
Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale
Yi Liu, Weizhe Wang, Ruitao Feng +5
cs.CRcs.AIcs.CLarXiv:2601.10338v12026
Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics
Junqi Liu, Zihao Zhou, Zekai Zhu +10
cs.AIarXiv:2601.14027v12026
CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
Weinan Dai, Hanlin Wu, Qiying Yu +13
cs.LGcs.AIarXiv:2602.24286v12026
SkillNet: Create, Evaluate, and Connect AI Skills
Yuan Liang, Ruobin Zhong, Haoming Xu +47
cs.AIcs.CLcs.CVarXiv:2603.04448v22026
Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents
Haiyang Xu, Xi Zhang, Haowei Liu +16
cs.AIcs.CLarXiv:2602.16855v12026
OpenClaw-RL: Train Any Agent Simply by Talking
Yinjie Wang, Xuyang Chen, Xiaolong Jin +2
cs.CLcs.AIcs.CVarXiv:2603.10165v22026
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
Haozhen Zhang, Quanyu Long, Jianzhu Bao +4
cs.CLcs.AIcs.LGarXiv:2602.02474v22026
SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
Tingxu Han, Yi Zhang, Wei Song +4
cs.SEcs.AIarXiv:2603.15401v12026
Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
Moo Jin Kim, Yihuai Gao, Tsung-Yi Lin +8
cs.AIcs.ROarXiv:2601.16163v12026
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
Shenyuan Gao, William Liang, Kaiyuan Zheng +27
cs.ROcs.AIcs.CVarXiv:2602.06949v12026
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Mike A. Merrill, Alexander G. Shaw, Nicholas Carlini +82
cs.SEcs.AIarXiv:2601.11868v12026
EgoSim: Egocentric World Simulator for Embodied Interaction Generation
Jinkun Hao, Mingda Jia, Ruiyan Wang +7
cs.CVcs.AIarXiv:2604.01001v22026
PixelPrune: Pixel-Level Adaptive Visual Token Reduction via Predictive Coding
Nan Wang, Zhiwei Jin, Chen Chen +1
cs.CVcs.AIcs.CLarXiv:2604.00886v12026
Signals: Trajectory Sampling and Triage for Agentic Interactions
Shuguang Chen, Adil Hafeez, Salman Paracha
cs.AIcs.CLarXiv:2604.00356v12026

Artificial Intelligence

Revisiting the Platonic Representation Hypothesis: An Aristotelian View

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models

CUA-Skill: Develop Skills for Computer Using Agent

Kernels for Vector-Valued Functions: a Review

MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification

UI-Venus-1.5 Technical Report

Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory

TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics

Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs

FeUdal Networks for Hierarchical Reinforcement Learning

Selective Classification for Deep Neural Networks

A General Theoretical Paradigm to Understand Learning from Human Preferences

Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation

Deep Kernel Learning

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Feature Hashing for Large Scale Multitask Learning

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience

Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Learning to reinforcement learn

Interactive Attention Networks for Aspect-Level Sentiment Classification

A Survey on Large Language Models for Code Generation

Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents

Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception

Hindsight Credit Assignment for Long-Horizon LLM Agents

Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning

RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation

Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Pre-Trained Models: Past, Present and Future

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

TS2Vec: Towards Universal Representation of Time Series

RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies

Natural-Language Agent Harnesses

Kimi K2.5: Visual Agentic Intelligence

Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

Meta-Harness: End-to-End Optimization of Model Harnesses

Towards a Science of AI Agent Reliability

Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation

LLaDA2.1: Speeding Up Text Diffusion via Token Editing

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding

Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale

Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

SkillNet: Create, Evaluate, and Connect AI Skills

Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents

OpenClaw-RL: Train Any Agent Simply by Talking

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?

Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

EgoSim: Egocentric World Simulator for Embodied Interaction Generation

PixelPrune: Pixel-Level Adaptive Visual Token Reduction via Predictive Coding

Signals: Trajectory Sampling and Triage for Agentic Interactions