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.

Search paper metadata (including unsummarized papers)

12,421 to 12,480 of 15,235

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning
Yaorui Shi, Shugui Liu, Yu Yang +7
cs.AIarXiv:2601.21468v52026
TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models
Fangxu Yu, Xingang Guo, Lingzhi Yuan +6
cs.AIcs.LGarXiv:2601.18744v22026
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang, Aston Zhang, Mu Li +1
cs.CLcs.AIarXiv:2210.03493v12022
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You, Rex Ying, Xiang Ren +2
cs.LGcs.AIcs.SIarXiv:1802.08773v32018
Reasoning Models Struggle to Control their Chains of Thought
Chen Yueh-Han, Robert McCarthy, Bruce W. Lee +5
cs.AIarXiv:2603.05706v12026
Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
Changdae Oh, Seongheon Park, To Eun Kim +8
cs.AIarXiv:2602.05073v32026
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
Jun Han, Shuo Zhang, Wei Li +14
q-fin.STcs.AIq-fin.CParXiv:2602.07085v32026
ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training
Dunwei Tu, Hongyan Hao, Hansi Yang +10
cs.AIarXiv:2602.06820v12026
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
Seth Karten, Jake Grigsby, Tersoo Upaa +28
cs.LGcs.AIarXiv:2603.15563v22026
On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation
Kexin Huang, Haoming Meng, Junkang Wu +10
cs.LGcs.AIarXiv:2603.22117v12026
Safe Model-based Reinforcement Learning with Stability Guarantees
Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig +1
stat.MLcs.AIcs.LGarXiv:1705.08551v32017
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang, Xiaodan Liang +2
cs.LGcs.AIcs.CLarXiv:1703.00955v42017
Distributional Reinforcement Learning with Quantile Regression
Will Dabney, Mark Rowland, Marc G. Bellemare +1
cs.AIcs.LGstat.MLarXiv:1710.10044v12017
DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation
Hao Zheng, Guozhao Mo, Xinru Yan +7
cs.AIarXiv:2602.22839v32026
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu, Bin Fan, Shiming Xiang +1
cs.CVcs.AIcs.CGarXiv:1904.07601v32019
AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions
Xianyang Liu, Shangding Gu, Dawn Song
cs.AIcs.LGarXiv:2602.06008v12026
Building Effective AI Coding Agents for the Terminal: Scaffolding, Harness, Context Engineering, and Lessons Learned
Nghi D. Q. Bui
cs.AIarXiv:2603.05344v32026
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffmann, Vikas Verma +1
cs.LGcs.AIstat.MLarXiv:1908.01000v32019
VLANeXt: Recipes for Building Strong VLA Models
Xiao-Ming Wu, Bin Fan, Kang Liao +6
cs.CVcs.AIcs.ROarXiv:2602.18532v22026
Semi-Autonomous Formalization of the Vlasov-Maxwell-Landau Equilibrium
Vasily Ilin
cs.AImath.APmath.LOarXiv:2603.15929v22026
On Detecting Adversarial Perturbations
Jan Hendrik Metzen, Tim Genewein, Volker Fischer +1
stat.MLcs.AIcs.CVarXiv:1702.04267v22017
Learning Native Continuation for Action Chunking Flow Policies
Yufeng Liu, Hang Yu, Juntu Zhao +9
cs.ROcs.AIarXiv:2602.12978v22026
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso, Wenqi Li, Richard Brown +54
cs.LGcs.AIcs.CVarXiv:2211.02701v12022
Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts
Yingfa Chen, Zhen Leng Thai, Zihan Zhou +6
cs.CLcs.AIcs.LGarXiv:2601.22156v12026
On Evaluation of Embodied Navigation Agents
Peter Anderson, Angel Chang, Devendra Singh Chaplot +8
cs.AIcs.CVcs.LGarXiv:1807.06757v12018
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
Shiyang Feng, Runmin Ma, Xiangchao Yan +54
cs.AIarXiv:2602.08990v12026
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
Yu Zeng, Wenxuan Huang, Zhen Fang +14
cs.CVcs.AIcs.CLarXiv:2602.02185v22026
HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences
Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe
cs.CLcs.AIcs.DLarXiv:2601.18724v12026
Does Your Reasoning Model Implicitly Know When to Stop Thinking?
Zixuan Huang, Xin Xia, Yuxi Ren +11
cs.AIarXiv:2602.08354v52026
Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook
Ming Li, Xirui Li, Tianyi Zhou
cs.CLcs.AIcs.CYarXiv:2602.14299v22026
Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models
Kaijin Chen, Dingkang Liang, Xin Zhou +4
cs.CVcs.AIarXiv:2603.25716v22026
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You, Bowen Liu, Rex Ying +2
cs.LGcs.AIstat.MLarXiv:1806.02473v32018
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification
Yuxuan Wan, Tianqing Fang, Zaitang Li +5
cs.AIarXiv:2601.15808v22026
SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation
Kushal Kedia, Tyler Ga Wei Lum, Jeannette Bohg +1
cs.ROcs.AIarXiv:2602.16863v22026
CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents
Hanna Foerster, Tom Blanchard, Kristina Nikolić +6
cs.AIarXiv:2601.09923v32026
RealWonder: Real-Time Physical Action-Conditioned Video Generation
Wei Liu, Ziyu Chen, Zizhang Li +3
cs.CVcs.AIcs.GRarXiv:2603.05449v12026
AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines
Yifan Wu, Yiran Peng, Yiyu Chen +12
cs.AIcs.SEarXiv:2602.14296v12026
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
Mehdi S. M. Sajjadi, Bernhard Schölkopf, Michael Hirsch
cs.CVcs.AIstat.MLarXiv:1612.07919v22016
MOSS-TTS Technical Report
Yitian Gong, Botian Jiang, Yiwei Zhao +23
cs.SDcs.AIcs.CLarXiv:2603.18090v22026
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap +3
cs.CLcs.AIarXiv:1906.05317v22019
Real-Time Aligned Reward Model beyond Semantics
Zixuan Huang, Xin Xia, Yuxi Ren +10
cs.AIarXiv:2601.22664v42026
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh +6
cs.CLcs.AIcs.LGarXiv:2305.02301v22023
Instruction-Following Evaluation for Large Language Models
Jeffrey Zhou, Tianjian Lu, Swaroop Mishra +5
cs.CLcs.AIcs.LGarXiv:2311.07911v12023
PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence
Yuanda Xu, Hejian Sang, Zhengze Zhou +2
cs.AIcs.LGarXiv:2603.11178v32026
SATzilla: Portfolio-based Algorithm Selection for SAT
Lin Xu, Frank Hutter, Holger H. Hoos +1
cs.AIarXiv:1111.2249v12011
Code2World: A GUI World Model via Renderable Code Generation
Yuhao Zheng, Li'an Zhong, Yi Wang +6
cs.CVcs.AIcs.CLarXiv:2602.09856v12026
Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?
Pingyue Zhang, Zihan Huang, Yue Wang +11
cs.AIcs.CLcs.LGarXiv:2602.07055v12026
VTC-Bench: Evaluating Agentic Multimodal Models via Compositional Visual Tool Chaining
Xuanyu Zhu, Yuhao Dong, Rundong Wang +9
cs.AIarXiv:2603.15030v22026
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
cs.LGcs.AIcs.MAarXiv:1812.11794v22018
From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents
Ling Yue, Kushal Raj Bhandari, Ching-Yun Ko +6
cs.AIcs.CLarXiv:2603.22386v12026
CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion
Yusong Lin, Haiyang Wang, Shuzhe Wu +4
cs.AIarXiv:2602.10999v12026
RubricBench: Aligning Model-Generated Rubrics with Human Standards
Qiyuan Zhang, Junyi Zhou, Yufei Wang +8
cs.AIarXiv:2603.01562v22026
Large Language Models: A Survey
Shervin Minaee, Tomas Mikolov, Narjes Nikzad +4
cs.CLcs.AIarXiv:2402.06196v32024
TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents
Kaijie Zhu, Yuzhou Nie, Yijiang Li +10
cs.AIarXiv:2602.07274v12026
Self-Hinting Language Models Enhance Reinforcement Learning
Baohao Liao, Hanze Dong, Xinxing Xu +2
cs.LGcs.AIcs.CLarXiv:2602.03143v12026
ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios
António Loison, Quentin Macé, Antoine Edy +7
cs.AIcs.CVarXiv:2601.08620v22026
A Diagram Is Worth A Dozen Images
Aniruddha Kembhavi, Mike Salvato, Eric Kolve +3
cs.CVcs.AIarXiv:1603.07396v12016
LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
Shijie Lian, Bin Yu, Xiaopeng Lin +6
cs.AIcs.CLcs.CVarXiv:2601.15197v72026
Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Chi-Pin Huang, Yunze Man, Zhiding Yu +4
cs.CVcs.AIcs.LGarXiv:2601.09708v22026
Fish Audio S2 Technical Report
Shijia Liao, Yuxuan Wang, Songting Liu +11
cs.SDcs.AIcs.CLarXiv:2603.08823v22026

Artificial Intelligence

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning

TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models

Automatic Chain of Thought Prompting in Large Language Models

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Reasoning Models Struggle to Control their Chains of Thought

Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities

QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining

ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training

The PokeAgent Challenge: Competitive and Long-Context Learning at Scale

On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation

Safe Model-based Reinforcement Learning with Stability Guarantees

Toward Controlled Generation of Text

Distributional Reinforcement Learning with Quantile Regression

DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation

Relation-Shape Convolutional Neural Network for Point Cloud Analysis

AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions

Building Effective AI Coding Agents for the Terminal: Scaffolding, Harness, Context Engineering, and Lessons Learned

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

VLANeXt: Recipes for Building Strong VLA Models

Semi-Autonomous Formalization of the Vlasov-Maxwell-Landau Equilibrium

On Detecting Adversarial Perturbations

Learning Native Continuation for Action Chunking Flow Policies

MONAI: An open-source framework for deep learning in healthcare

Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts

On Evaluation of Embodied Navigation Agents

InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models

HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences

Does Your Reasoning Model Implicitly Know When to Stop Thinking?

Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook

Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification

SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation

CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents

RealWonder: Real-Time Physical Action-Conditioned Video Generation

AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis

MOSS-TTS Technical Report

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction

Real-Time Aligned Reward Model beyond Semantics

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Instruction-Following Evaluation for Large Language Models

PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence

SATzilla: Portfolio-based Algorithm Selection for SAT

Code2World: A GUI World Model via Renderable Code Generation

Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?

VTC-Bench: Evaluating Agentic Multimodal Models via Compositional Visual Tool Chaining

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents

CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion

RubricBench: Aligning Model-Generated Rubrics with Human Standards

Large Language Models: A Survey

TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents

Self-Hinting Language Models Enhance Reinforcement Learning

ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios

A Diagram Is Worth A Dozen Images

LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries

Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning

Fish Audio S2 Technical Report