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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12,721 to 12,780 of 15,455

FeatureBench: Benchmarking Agentic Coding for Complex Feature Development
Qixing Zhou, Jiacheng Zhang, Haiyang Wang +9
cs.SEcs.AIarXiv:2602.10975v12026
LoL: Longer than Longer, Scaling Video Generation to Hour
Justin Cui, Jie Wu, Ming Li +6
cs.CVcs.AIarXiv:2601.16914v12026
Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
Zhuolin Yang, Zihan Liu, Yang Chen +14
cs.CLcs.AIcs.LGarXiv:2603.19220v22026
$τ$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
Quan Shi, Alexandra Zytek, Pedram Razavi +2
cs.AIcs.CLcs.IRarXiv:2603.04370v12026
Reinforcement-aware Knowledge Distillation for LLM Reasoning
Zhaoyang Zhang, Shuli Jiang, Yantao Shen +6
cs.LGcs.AIarXiv:2602.22495v32026
Rethinking the Trust Region in LLM Reinforcement Learning
Penghui Qi, Xiangxin Zhou, Zichen Liu +4
cs.LGcs.AIcs.CLarXiv:2602.04879v32026
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer +1
cs.LGcs.AIarXiv:2601.21590v12026
Continuous Deep Q-Learning with Model-based Acceleration
Shixiang Gu, Timothy Lillicrap, Ilya Sutskever +1
cs.LGcs.AIcs.ROarXiv:1603.00748v12016
Hyperagents
Jenny Zhang, Bingchen Zhao, Wannan Yang +5
cs.AIarXiv:2603.19461v12026
How AI Impacts Skill Formation
Judy Hanwen Shen, Alex Tamkin
cs.CYcs.AIcs.HCarXiv:2601.20245v22026
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers
Songyang Liu, Chaozhuo Li, Chenxu Wang +8
cs.CRcs.AIarXiv:2603.24414v12026
Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering
Xinyu Zhu, Yuzhu Cai, Zexi Liu +8
cs.AIarXiv:2601.10402v52026
MuSiQue: Multihop Questions via Single-hop Question Composition
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot +1
cs.CLcs.AIarXiv:2108.00573v32021
Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations
Dongming Jiang, Yi Li, Songtao Wei +8
cs.CLcs.AIarXiv:2602.19320v22026
VIBEVOICE-ASR Technical Report
Zhiliang Peng, Jianwei Yu, Yaoyao Chang +21
cs.SDcs.AIeess.ASarXiv:2601.18184v22026
Large Language Model Reasoning Failures
Peiyang Song, Pengrui Han, Noah Goodman
cs.AIcs.CLcs.LGarXiv:2602.06176v12026
OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning
Krista Opsahl-Ong, Arnav Singhvi, Jasmine Collins +10
cs.AIcs.CLcs.IRarXiv:2603.08655v12026
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son, Daewoo Kim, Wan Ju Kang +2
cs.LGcs.AIcs.MAarXiv:1905.05408v12019
Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters
Ailin Huang, Ang Li, Aobo Kong +213
cs.CLcs.AIarXiv:2602.10604v22026
OmniGAIA: Towards Native Omni-Modal AI Agents
Xiaoxi Li, Wenxiang Jiao, Jiarui Jin +10
cs.AIcs.CLcs.CVarXiv:2602.22897v32026
AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
Jianhao Ruan, Zhihao Xu, Yiran Peng +9
cs.AIcs.CLarXiv:2602.03786v22026
DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints
Yinger Zhang, Shutong Jiang, Renhao Li +6
cs.AIcs.CLarXiv:2601.18137v12026
HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
Haowei Zhang, Shudong Yang, Jinlan Fu +2
cs.CVcs.AIcs.CLarXiv:2601.14724v42026
AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security
Dongrui Liu, Qihan Ren, Chen Qian +40
cs.AIcs.CCcs.CLarXiv:2601.18491v22026
Dr. Zero: Self-Evolving Search Agents without Training Data
Zhenrui Yue, Kartikeya Upasani, Xianjun Yang +5
cs.AIarXiv:2601.07055v22026
Rethinking Video Generation Model for the Embodied World
Yufan Deng, Zilin Pan, Hongyu Zhang +6
cs.CVcs.AIcs.ROarXiv:2601.15282v12026
AIDev: Studying AI Coding Agents on GitHub
Hao Li, Haoxiang Zhang, Ahmed E. Hassan
cs.SEcs.AIarXiv:2602.09185v12026
AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations
Minjun Zhu, Zhen Lin, Yixuan Weng +6
cs.AIcs.CLcs.CVarXiv:2602.03828v22026
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

Artificial Intelligence

FeatureBench: Benchmarking Agentic Coding for Complex Feature Development

LoL: Longer than Longer, Scaling Video Generation to Hour

Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation

$τ$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge

Reinforcement-aware Knowledge Distillation for LLM Reasoning

Rethinking the Trust Region in LLM Reinforcement Learning

Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening

Continuous Deep Q-Learning with Model-based Acceleration

Hyperagents

How AI Impacts Skill Formation

ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers

Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering

MuSiQue: Multihop Questions via Single-hop Question Composition

Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations

VIBEVOICE-ASR Technical Report

Large Language Model Reasoning Failures

OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning

Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters

OmniGAIA: Towards Native Omni-Modal AI Agents

AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration

DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints

HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding

AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security

Dr. Zero: Self-Evolving Search Agents without Training Data

Rethinking Video Generation Model for the Embodied World

AIDev: Studying AI Coding Agents on GitHub

AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations

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