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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4,081 to 4,140 of 15,246

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
Vijay Ekambaram, Arindam Jati, Pankaj Dayama +5
cs.LGcs.AIarXiv:2401.03955v82024
Deep Multimodal Subspace Clustering Networks
Mahdi Abavisani, Vishal M. Patel
cs.LGcs.AIcs.CVarXiv:1804.06498v32018
MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance
Jia Xu, Tianyi Wei, Bojian Hou +7
cs.LGcs.AIcs.CLarXiv:2503.13509v22025
Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
Kyle O'Brien, Stephen Casper, Quentin Anthony +7
cs.LGcs.AIarXiv:2508.06601v22025
OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
Hongliang Lu, Zhonglin Xie, Yaoyu Wu +3
cs.AIcs.LGarXiv:2502.11102v22025
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems
Leon Staufer, Kevin Feng, Kevin Wei +6
cs.CYcs.AIarXiv:2602.17753v22026
A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives
Weiqiang Jin, Hongyang Du, Shixiang Tang +2
cs.MAcs.AIarXiv:2503.13415v22025
When Do Larger Batches Help Scale LLM Reinforcement Learning?
Ziniu Li, Jinbo Wang, Guanhua Huang +3
cs.LGcs.AIarXiv:2608.29296v12026
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
Mohammad Mahdi Abootorabi, Amirhosein Zobeiri, Mahdi Dehghani +5
cs.CLcs.AIcs.IRarXiv:2502.08826v32025
It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
Ali Behrouz, Meisam Razaviyayn, Peilin Zhong +1
cs.LGcs.AIarXiv:2504.13173v12025
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Víctor Campos, Alexander Trott, Caiming Xiong +3
cs.LGcs.AIstat.MLarXiv:2002.03647v42020
Harness-Bench: Measuring Harness Effects across Models in Realistic Agent Workflows
Yilun Yao, Xinyu Tan, Chao-Hsuan Liu +9
cs.AIarXiv:2605.27922v12026
Invisible Image Watermarks Are Provably Removable Using Generative AI
Xuandong Zhao, Kexun Zhang, Zihao Su +6
cs.CRcs.AIcs.CVarXiv:2306.01953v32023
Multi-agent Embodied AI: Advances and Future Directions
Zhaohan Feng, Ruiqi Xue, Lei Yuan +7
cs.AIcs.MAarXiv:2505.05108v22025
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
Yujie Liu, Zonglin Yang, Tong Xie +7
cs.CLcs.AIcs.CEarXiv:2503.21248v32025
Levels of Autonomy for AI Agents
K. J. Kevin Feng, David W. McDonald, Amy X. Zhang
cs.HCcs.AIarXiv:2506.12469v22025
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM
Yifan Du, Zikang Liu, Yifan Li +7
cs.CVcs.AIarXiv:2501.01904v22025
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Quentin Garrido, Nicolas Ballas, Mahmoud Assran +5
cs.CVcs.AIarXiv:2502.11831v12025
Interpretable Symptom Vectors for Depression in a Large Language Model
Fangyi Zhu, Ajay Subramanian, Allison Constant +3
cs.CLcs.AIcs.LGarXiv:2609.01832v12026
Forgetting Transformer: Softmax Attention with a Forget Gate
Zhixuan Lin, Evgenii Nikishin, Xu Owen He +1
cs.LGcs.AIcs.CLarXiv:2503.02130v22025
SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources
Shuaike Shen, Wenduo Cheng, Mingqian Ma +3
cs.AIarXiv:2604.03964v12026
RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization
Songming Liu, Bangguo Li, Kai Ma +5
cs.ROcs.AIcs.CVarXiv:2602.03310v12026
Adaptive imputation of missing values for incomplete pattern classification
Zhun-Ga Liu, Quan Pan, Jean Dezert +1
cs.AIarXiv:1602.02617v12016
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
Jiarui Jin, Haoyu Wang, Hongyan Li +3
cs.LGcs.AIarXiv:2502.10707v12025
A Survey on LLM-powered Agents for Recommender Systems
Qiyao Peng, Hongtao Liu, Hua Huang +2
cs.IRcs.AIarXiv:2502.10050v12025
SensorLM: Learning the Language of Wearable Sensors
Yuwei Zhang, Kumar Ayush, Siyuan Qiao +17
cs.LGcs.AIcs.CLarXiv:2506.09108v12025
RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability
Yichi Zhang, Zihao Zeng, Dongbai Li +3
cs.AIcs.CLarXiv:2504.10081v12025
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier
Xinpeng Li, Kai Ming Ting
cs.LGcs.AIarXiv:2511.09332v12025
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training
Jintao Zhang, Jia Wei, Pengle Zhang +6
cs.LGcs.AIcs.ARarXiv:2505.11594v32025
Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation
Jessica He, Stephanie Houde, Justin D. Weisz
cs.HCcs.AIcs.CYarXiv:2502.18357v12025
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
Yongxin Liu, Jian Wang, Jianqiang Li +2
cs.CRcs.AIcs.LGarXiv:2101.10181v12021
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Niels Mündler, Jingxuan He, Slobodan Jenko +1
cs.CLcs.AIcs.LGarXiv:2305.15852v32023
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
Jakub Macina, Nico Daheim, Ido Hakimi +3
cs.CLcs.AIcs.LGarXiv:2502.18940v22025
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang, Bang Wu, Xingliang Yuan +3
cs.LGcs.AIarXiv:2205.07424v22022
Large language models surpass human experts in predicting neuroscience results
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun +36
q-bio.NCcs.AIarXiv:2403.03230v42024
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
Chenrui Fan, Ming Li, Lichao Sun +1
cs.AIcs.CLcs.LGarXiv:2504.06514v22025
A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications
Lucas Rey, Ana M. Bernardos, Andrzej D. Dobrzycki +4
cs.DCcs.AIcs.CVarXiv:2502.15737v12025
PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection
Jinhe Bi, Aniri, Zengjie Jin +11
cs.CVcs.AIcs.CLarXiv:2502.12119v52025
Bias of AI-Generated Content: An Examination of News Produced by Large Language Models
Xiao Fang, Shangkun Che, Minjia Mao +3
cs.AIarXiv:2309.09825v32023
AI4Research: A Survey of Artificial Intelligence for Scientific Research
Qiguang Chen, Mingda Yang, Libo Qin +13
cs.CLcs.AIarXiv:2507.01903v22025
Emotion in Reinforcement Learning Agents and Robots: A Survey
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
cs.LGcs.AIcs.HCarXiv:1705.05172v12017
The Constitutional Coverage Trilemma in AI Governance
Natalija Mitic, Soona Sedahmed A. O., Mamadou Selly Ly +1
cs.LGcs.AIarXiv:2609.01275v12026
Human-Artificial Interaction in the Age of Agentic AI: A System-Theoretical Approach
Uwe M. Borghoff, Paolo Bottoni, Remo Pareschi
cs.MAcs.AIcs.HCarXiv:2502.14000v12025
From Language to Behavior: Scaling Sequence Transformers for Industrial Recommendation Ranking with Rec-Native Designs
Jie Chen, Xiangqian Yu, Yanchao Lian +9
cs.IRcs.AIcs.LGarXiv:2609.01240v12026
Learning Sparse Decision Trees via Transformer Variational Auto-Encoders
Giacomo Fidone, Alessio Cascione, Riccardo Guidotti
cs.LGcs.AIarXiv:2609.01430v12026
Decision-Making with Belief Functions: a Review
Thierry Denoeux
cs.AIarXiv:1808.05322v22018
ProgramBench: Can Language Models Rebuild Programs From Scratch?
John Yang, Kilian Lieret, Jeffrey Ma +9
cs.SEcs.AIarXiv:2605.03546v12026
Optimizing Byzantine Node Placement in Decentralized Federated Learning
Edoardo Gabrielli, Gabriele Tolomei
cs.LGcs.AIarXiv:2609.01495v12026
Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level
Nan Jia, Haojin Yang, Xing Ma +6
cs.LGcs.AIarXiv:2605.06387v42026
Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
Shiji Zhao, Ranjie Duan, Fengxiang Wang +7
cs.CRcs.AIcs.CLarXiv:2501.04931v22025
Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents
Vardaan Pahuja, Yadong Lu, Corby Rosset +5
cs.AIcs.HCarXiv:2502.11357v42025
Calibrated Language Models Must Hallucinate
Adam Tauman Kalai, Santosh S. Vempala
cs.CLcs.AIarXiv:2311.14648v32023
DAMP: Decay-Aware Mixed-Precision Recurrent-State Quantization
Tao Zhang, Jianchao Tan, Pingwei Sun +5
cs.LGcs.AIarXiv:2608.27513v12026
Sophistication in GenAI Use: Field Evidence from a Large Firm
Nicholas J. Hallman, Zachary T. Kowaleski, Anu Puvvada +1
cs.AIecon.GNarXiv:2608.27364v12026
RePolicy: Reinforcement Learning for Safety-Policy Invocation in Agent Safeguards
Houcheng Jiang, Boxuan Zhang, Qiyong Zhong +3
cs.AIcs.CLarXiv:2608.24275v12026
How to Train a Critic Stably and Efficiently
Penghui Qi, Xiangxin Zhou, Wee Sun Lee
cs.LGcs.AIcs.CLarXiv:2608.23566v12026
CAST: Game Solvers as Turn-Level Teachers for LLM Agents
Yu Wang, Yi-Kai Zhang, Wentao Shi +8
cs.CLcs.AIarXiv:2607.25308v12026
Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge
Haomiao Xiong, Zongxin Yang, Jiazuo Yu +4
cs.CVcs.AIarXiv:2501.13468v12025
Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination
Subhadeep Pal, Shashwat Sourav, Tirthankar Ghosal +1
cs.AIcond-mat.mtrl-scics.CLarXiv:2607.00924v12026
Summaries:한국어
Visual Framing for News Stance Detection via Image Generation
Dahyun Lee, Jiyoung Han, Kunwoo Park
cs.CLcs.AIcs.CVarXiv:2609.00685v12026

Artificial Intelligence

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

Deep Multimodal Subspace Clustering Networks

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance

Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs

OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems

A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

When Do Larger Batches Help Scale LLM Reinforcement Learning?

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization

Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills

Harness-Bench: Measuring Harness Effects across Models in Realistic Agent Workflows

Invisible Image Watermarks Are Provably Removable Using Generative AI

Multi-agent Embodied AI: Advances and Future Directions

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition

Levels of Autonomy for AI Agents

Virgo: A Preliminary Exploration on Reproducing o1-like MLLM

Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Interpretable Symptom Vectors for Depression in a Large Language Model

Forgetting Transformer: Softmax Attention with a Forget Gate

SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources

RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization

Adaptive imputation of missing values for incomplete pattern classification

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

A Survey on LLM-powered Agents for Recommender Systems

SensorLM: Learning the Language of Wearable Sensors

RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability

Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier

SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training

Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation

Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey

Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors

Trustworthy Graph Neural Networks: Aspects, Methods and Trends

Large language models surpass human experts in predicting neuroscience results

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications

PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection

Bias of AI-Generated Content: An Examination of News Produced by Large Language Models

AI4Research: A Survey of Artificial Intelligence for Scientific Research

Emotion in Reinforcement Learning Agents and Robots: A Survey

The Constitutional Coverage Trilemma in AI Governance

Human-Artificial Interaction in the Age of Agentic AI: A System-Theoretical Approach

From Language to Behavior: Scaling Sequence Transformers for Industrial Recommendation Ranking with Rec-Native Designs

Learning Sparse Decision Trees via Transformer Variational Auto-Encoders

Decision-Making with Belief Functions: a Review

ProgramBench: Can Language Models Rebuild Programs From Scratch?

Optimizing Byzantine Node Placement in Decentralized Federated Learning

Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency

Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents

Calibrated Language Models Must Hallucinate

DAMP: Decay-Aware Mixed-Precision Recurrent-State Quantization

Sophistication in GenAI Use: Field Evidence from a Large Firm

RePolicy: Reinforcement Learning for Safety-Policy Invocation in Agent Safeguards

How to Train a Critic Stably and Efficiently

CAST: Game Solvers as Turn-Level Teachers for LLM Agents

Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge

Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination

Visual Framing for News Stance Detection via Image Generation