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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6,661 to 6,720 of 15,403

Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
Haozhe Wang, Alex Su, Weiming Ren +2
cs.CVcs.AIcs.CLarXiv:2505.15966v32025
Learning a Recurrent Visual Representation for Image Caption Generation
Xinlei Chen, C. Lawrence Zitnick
cs.CVcs.AIcs.CLarXiv:1411.5654v12014
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Haozhe Wang, Chao Qu, Zuming Huang +3
cs.LGcs.AIarXiv:2504.08837v32025
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Xiaoxi Li, Jiajie Jin, Guanting Dong +5
cs.CLcs.AIcs.IRarXiv:2504.21776v22025
FinBen: A Holistic Financial Benchmark for Large Language Models
Qianqian Xie, Weiguang Han, Zhengyu Chen +31
cs.CLcs.AIcs.CEarXiv:2402.12659v22024
Learning to Reason under Off-Policy Guidance
Jianhao Yan, Yafu Li, Zican Hu +5
cs.LGcs.AIcs.CLarXiv:2504.14945v52025
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
Randall Balestriero, Yann LeCun
cs.LGcs.AIcs.CVarXiv:2511.08544v32025
Compute and Energy Consumption Trends in Deep Learning Inference
Radosvet Desislavov, Fernando Martínez-Plumed, José Hernández-Orallo
cs.LGcs.AIarXiv:2109.05472v22021
DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training
Shubham Gandhi, Saurabh Goyal, Kiran Kate +1
cs.AIcs.LGcs.SEarXiv:2609.04094v12026
Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment
Yin Fang, Qiao Jin, Shubo Tian +24
cs.CLcs.AIcs.CYarXiv:2609.01202v12026
Accelerating scientific discovery with Co-Scientist
Juraj Gottweis, Wei-Hung Weng, Alexander Daryin +48
cs.AIcs.CLcs.HCarXiv:2502.18864v22025
ToolRL: Reward is All Tool Learning Needs
Cheng Qian, Emre Can Acikgoz, Qi He +5
cs.LGcs.AIcs.CLarXiv:2504.13958v12025
WorldVLA: Towards Autoregressive Action World Model
Jun Cen, Chaohui Yu, Hangjie Yuan +9
cs.ROcs.AIarXiv:2506.21539v12025
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1155
cs.LGcs.AIcs.CLarXiv:2501.14249v112025
Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms
Erich Schubert, Peter J. Rousseeuw
cs.LGcs.AIstat.MLarXiv:2008.05171v22020
Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics
Sejuti Basu, Ashima Sood, Vijay Kumar +1
cs.CVcs.AIarXiv:2609.01749v12026
Designing Proactive Thought Partners for Writing
Chao Zhang, Abe Davis, Chih-Wei Chen +1
cs.HCcs.AIcs.CLarXiv:2609.01588v12026
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh +3
cs.AIcs.CLcs.LGarXiv:2506.06941v32025
MathArena: Evaluating LLMs on Uncontaminated Math Competitions
Mislav Balunović, Jasper Dekoninck, Ivo Petrov +2
cs.AIcs.CLarXiv:2505.23281v32025
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky +2
cs.HCcs.AIcs.CVarXiv:2210.03735v22022
Are We There Yet? Assessing Computer-Use Agents for Blind Users' Accessible Interaction with Desktop Applications
Satwik Ram Kodandaram, Monalika Padma Reddy, Xiaojun Bi +3
cs.HCcs.AIarXiv:2609.00524v12026
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Pranjal Aggarwal, Sean Welleck
cs.CLcs.AIcs.LGarXiv:2503.04697v22025
Memory in the Age of AI Agents
Yuyang Hu, Shichun Liu, Yanwei Yue +44
cs.CLcs.AIarXiv:2512.13564v22025
DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
Z. Z. Ren, Zhihong Shao, Junxiao Song +15
cs.CLcs.AIarXiv:2504.21801v22025
Agent Laboratory: Using LLM Agents as Research Assistants
Samuel Schmidgall, Yusheng Su, Ze Wang +7
cs.HCcs.AIcs.CLarXiv:2501.04227v22025
X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
Jinliang Zheng, Jianxiong Li, Zhihao Wang +12
cs.ROcs.AIcs.CVarXiv:2510.10274v12025
LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting
Yufei Chen, Yiran Zhao, Xiaogang Xu +3
cs.AIarXiv:2609.01337v12026
GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
GLM-V Team, :, Wenyi Hong +91
cs.CVcs.AIcs.LGarXiv:2507.01006v62025
Multi-Agent Collaboration Mechanisms: A Survey of LLMs
Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen +3
cs.AIarXiv:2501.06322v12025
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib +2
cs.AIcs.CVcs.ROarXiv:1903.01602v12019
QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation
Yaroslav Prytula, Anton Popov, Dmytro Fishman
cs.CVcs.AIcs.LGarXiv:2608.29253v12026
Muon is Scalable for LLM Training
Jingyuan Liu, Jianlin Su, Xingcheng Yao +25
cs.LGcs.AIcs.CLarXiv:2502.16982v12025
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Zhenru Zhang, Chujie Zheng, Yangzhen Wu +6
cs.CLcs.AIcs.LGarXiv:2501.07301v22025
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Xiaoxi Li, Guanting Dong, Jiajie Jin +5
cs.AIcs.CLcs.IRarXiv:2501.05366v12025
Deep Probabilistic Programming
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous +3
stat.MLcs.AIcs.LGarXiv:1701.03757v22017
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyun Zhao, Raviteja Vemulapalli, Philip Mansfield +4
cs.CVcs.AIcs.LGarXiv:2012.06985v42020
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani +10
cs.LGcs.AIcs.CLarXiv:2510.04618v32025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola, Aaron Gokaslan, Justin T. Chiu +5
cs.LGcs.AIarXiv:2503.09573v32025
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Shuai Ma, Ying Lei, Xinru Wang +4
cs.HCcs.AIcs.LGarXiv:2301.05809v12023
Process Reinforcement through Implicit Rewards
Ganqu Cui, Lifan Yuan, Zefan Wang +22
cs.LGcs.AIcs.CLarXiv:2502.01456v22025
Modeling Human Motion with Quaternion-based Neural Networks
Dario Pavllo, Christoph Feichtenhofer, Michael Auli +1
cs.CVcs.AIcs.ROarXiv:1901.07677v22019
From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution
Yuzhang Luo, Chenpeng Wang, Jianhui Chen +1
cs.CLcs.AIcs.LGarXiv:2609.02771v12026
Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment
Chenyu Zhou, Qiliang Jiang, Shuning Wu +1
cs.LGcs.AIarXiv:2609.02417v12026
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
Paul Röttger, Valentin Hofmann, Valentina Pyatkin +4
cs.CLcs.AIarXiv:2402.16786v22024
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Huajian Xin, Z. Z. Ren, Junxiao Song +14
cs.CLcs.AIcs.LGarXiv:2408.08152v12024
A Network Science Perspective on Evaluating Deep Graph Generative Models
Tianrui Mao, Abele Malan, Megha Khosla +2
cs.SIcs.AIarXiv:2609.01015v12026
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
Richard S. Sutton, Csaba Szepesvari, Alborz Geramifard +1
cs.AIcs.LGeess.SYarXiv:1206.3285v12012
What Is Worth Representing? Representational Empowerment for Continual Model Construction
Fei Dai, Hanqi Zhou, Alison Gopnik +1
cs.LGcs.AIarXiv:2609.02322v12026
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
Gongjie Zhang, Zhipeng Luo, Kaiwen Cui +2
cs.CVcs.AIcs.LGarXiv:2208.00219v12022
VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages
Usneek Singh, Poorvaja Veera Balaji Kumar, Parth Nanda +4
cs.CLcs.AIarXiv:2609.01788v12026
Semi-Supervised Virtual Staining via Morphology Preservation and Histopathological Realism Constraints
Baoshun Wang, Weiping Lin, Linwu Wang +3
cs.CVcs.AIarXiv:2609.00984v12026
Deep Neural Networks for Multiple Speaker Detection and Localization
Weipeng He, Petr Motlicek, Jean-Marc Odobez
cs.SDcs.AIcs.MMarXiv:1711.11565v32017
NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning
Meixuan Chen, Hehan Li, Ruizhi Zhao +8
cs.CLcs.AIarXiv:2609.02366v12026
SAM 3D: 3Dfy Anything in Images
SAM 3D Team, Xingyu Chen, Fu-Jen Chu +20
cs.CVcs.AIarXiv:2511.16624v22025
Learn from Whoever Is Right: Answer-Verified Multi-Teacher Distillation for Multi-Domain LLMs
Xixiang He, Xingming Li, Baiqi Wu +4
cs.LGcs.AIarXiv:2609.02548v12026
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
Jingyang Yuan, Huazuo Gao, Damai Dai +12
cs.CLcs.AIcs.LGarXiv:2502.11089v22025
LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model
Dilxat Muhtar, Zhenshi Li, Feng Gu +2
cs.CVcs.AIcs.LGarXiv:2402.02544v42024
Multi-class Classification without Multi-class Labels
Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser +2
cs.LGcs.AIcs.CVarXiv:1901.00544v12019
Future progress in artificial intelligence: A survey of expert opinion
Vincent C. Müller, Nick Bostrom
cs.CYcs.AIarXiv:2508.11681v12025
Fine-Grained Anomaly Perception in Wild UGC-Enhanced Images: A Comprehensive Dataset and Difference-Fusion Framework
Yan Zhong, Gefei Chen, Qiufang Ma +4
cs.CVcs.AIarXiv:2609.02529v12026

Artificial Intelligence

Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning

Learning a Recurrent Visual Representation for Image Caption Generation

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

WebThinker: Empowering Large Reasoning Models with Deep Research Capability

FinBen: A Holistic Financial Benchmark for Large Language Models

Learning to Reason under Off-Policy Guidance

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Compute and Energy Consumption Trends in Deep Learning Inference

DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training

Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment

Accelerating scientific discovery with Co-Scientist

ToolRL: Reward is All Tool Learning Needs

WorldVLA: Towards Autoregressive Action World Model

Humanity's Last Exam

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms

Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics

Designing Proactive Thought Partners for Writing

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

MathArena: Evaluating LLMs on Uncontaminated Math Competitions

"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction

Are We There Yet? Assessing Computer-Use Agents for Blind Users' Accessible Interaction with Desktop Applications

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Memory in the Age of AI Agents

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Agent Laboratory: Using LLM Agents as Research Assistants

X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting

GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Multi-Agent Collaboration Mechanisms: A Survey of LLMs

The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation

QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation

Muon is Scalable for LLM Training

The Lessons of Developing Process Reward Models in Mathematical Reasoning

Search-o1: Agentic Search-Enhanced Large Reasoning Models

Deep Probabilistic Programming

Contrastive Learning for Label-Efficient Semantic Segmentation

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

Process Reinforcement through Implicit Rewards

Modeling Human Motion with Quaternion-based Neural Networks

From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution

Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

A Network Science Perspective on Evaluating Deep Graph Generative Models

Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping

What Is Worth Representing? Representational Empowerment for Continual Model Construction

Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation

VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages

Semi-Supervised Virtual Staining via Morphology Preservation and Histopathological Realism Constraints

Deep Neural Networks for Multiple Speaker Detection and Localization

NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning

SAM 3D: 3Dfy Anything in Images

Learn from Whoever Is Right: Answer-Verified Multi-Teacher Distillation for Multi-Domain LLMs

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model

Multi-class Classification without Multi-class Labels

Future progress in artificial intelligence: A survey of expert opinion

Fine-Grained Anomaly Perception in Wild UGC-Enhanced Images: A Comprehensive Dataset and Difference-Fusion Framework