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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18,541 to 18,600 of 27,659

AutoData: A Multi-Agent System for Open Web Data Collection
Tianyi Ma, Yiyue Qian, Zheyuan Zhang +9
cs.IRcs.AIarXiv:2505.15859v12025
Personalizing Dialogue Agents via Meta-Learning
Zhaojiang Lin, Andrea Madotto, Chien-Sheng Wu +1
cs.CLcs.AIarXiv:1905.10033v12019
REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version
Sean Bin Yang, Ying Sun, Jilin Hu +5
cs.LGcs.AIarXiv:2609.07206v12026
Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering
Yanjie Zhang, Yafei Li, Rui Sheng +5
cs.CVcs.AIcs.MMarXiv:2603.28583v22026
A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling
Hamid Arabnejad, Claus Pahl, Pooyan Jamshidi +1
cs.DCcs.AIarXiv:1705.07114v12017
Ethical Hyper-Velocity (EHV): A Hardware-Rooted Zero-Trust Runtime Enforcement Architecture for Agentic AI Systems
Riddhi Mohan Sharma
cs.AIcs.LOarXiv:2605.17909v22026
Summaries:한국어
Dual-Part Multi-Lateral Branched Network for Multi-Class Segmentation in Cardiovascular Catheterization Angiograms
Olatunji Omisore, Ahmed Elazab, Ali Shahidinejad +1
cs.CVcs.AIcs.ROarXiv:2609.04590v12026
Data Science and Technology Towards AGI Part I: Tiered Data Management
Yudong Wang, Zixuan Fu, Hengyu Zhao +14
cs.AIcs.CLarXiv:2602.09003v12026
Threat-Preserving Representation Sensitivity in Agent-Security Benchmarks
Neeraj Karamchandani, Piyush Nagasubramaniam, Xinhong Xie +2
cs.CRcs.AIcs.LGarXiv:2610.03585v12026
Beyond Message Passing: Neural Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma +3
cs.LGcs.AIcs.SIarXiv:2501.18739v22025
Characterizing possible failure modes in physics-informed neural networks
Aditi S. Krishnapriyan, Amir Gholami, Shandian Zhe +2
cs.LGcs.AImath.NAarXiv:2109.01050v22021
LLM-Enhanced Dual-Branch Learning for Large-Scale Multi-Label Text Classification
Hui Ye, Jing Zhang, Xiulong Yang +1
cs.CLcs.AIarXiv:2609.12915v12026
gpt-oss-120b & gpt-oss-20b Model Card
OpenAI, :, Sandhini Agarwal +124
cs.CLcs.AIarXiv:2508.10925v12025
CriticGen: Generation-Aware Evaluation as Actionable Feedback
Huifang Du, Zecheng Zuo, Sen Wang +3
cs.AIarXiv:2609.05439v12026
Surprising Success, Repeated Failure: Entropy-Guided Credit Assignment for Exploration in LLM Reasoning
Woongyeong Yeo, Minki Kang, Chanuk Lee +3
cs.LGcs.AIcs.CLarXiv:2609.33781v12026
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
Zhen Zhang, Xuehai He, Weixiang Yan +5
cs.CLcs.AIarXiv:2505.15778v12025
When Wording Steers the Evaluation: Framing Bias in LLM judges
Yerin Hwang, Dongryeol Lee, Taegwan Kang +2
cs.CLcs.AIarXiv:2601.13537v12026
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Aohan Zeng, Mingdao Liu, Rui Lu +4
cs.CLcs.AIcs.LGarXiv:2310.12823v22023
Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and Culture
Yunsu Kim, Kaden Uhlig, Ashwin Purohit +10
cs.CLcs.AIarXiv:2608.28641v12026
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions
Hung Du, Srikanth Thudumu, Rajesh Vasa +1
cs.MAcs.AIcs.LGarXiv:2402.01968v22024
K-EXAONE Technical Report
Eunbi Choi, Kibong Choi, Seokhee Hong +62
cs.CLcs.AIarXiv:2601.01739v22026
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Rui Ye, Jingyi Chai, Xiangrui Liu +3
cs.CLcs.AIcs.CRarXiv:2406.10630v12024
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
Adam Karvonen, James Chua, Clément Dumas +8
cs.CLcs.AIcs.LGarXiv:2512.15674v22025
MOSS Transcribe Diarize Technical Report
MOSI. AI, :, Donghua Yu +23
cs.SDcs.AIeess.ASarXiv:2601.01554v72026
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté +3
cs.CLcs.AIcs.CVarXiv:2010.03768v22020
Causal Intervention-Based Memory Selection for Long-Horizon LLM Agents
Saksham Sahai Srivastava
cs.AIcs.CLarXiv:2605.17641v12026
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin +5
cs.LGcs.AIcs.CLarXiv:2303.06296v22023
Learning from Natural Language Feedback for Personalized Question Answering
Alireza Salemi, Hamed Zamani
cs.CLcs.AIcs.IRarXiv:2508.10695v22025
Eliciting Better Multilingual Structured Reasoning from LLMs through Code
Bryan Li, Tamer Alkhouli, Daniele Bonadiman +2
cs.CLcs.AIarXiv:2403.02567v22024
Red-Teaming the Stable Diffusion Safety Filter
Javier Rando, Daniel Paleka, David Lindner +2
cs.AIcs.CRcs.CVarXiv:2210.04610v52022
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi, Shiyu Wang, Yuqi Nie +4
cs.LGcs.AIarXiv:2409.16040v42024
A Framework for Egocentric and Exocentric Procedural Understanding via Temporal Segmentation and Semantic Abstraction
Vivek Chavan, Jörg Krüger
cs.CVcs.AIarXiv:2610.00069v12026
When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models
Dai Shi, Xiaoyu Li, José Miguel Hernández-Lobato
cs.CLcs.AIcs.LGarXiv:2608.26187v12026
REFINE: LLM Refinement over Budgeted Text-Attributed Graphs for Personalized Medical Concept Representation
Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Dongjie Wang +1
cs.LGcs.AIarXiv:2609.04415v12026
Behavior Quotient Learning for Low-Rank Adaptation of LLM Agents
Pengyang Zhou, Xiaobin Tu, Zhengxi Liu +7
cs.LGcs.AIarXiv:2609.12896v12026
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
Zhiheng Xi, Jixuan Huang, Chenyang Liao +20
cs.LGcs.AIcs.CLarXiv:2509.08755v12025
Runtime Action Interference for AI Control of AlphaStar in StarCraft II
Jaymari Chua, Chen Wang, Liming Zhu +1
cs.LGcs.AIcs.CYarXiv:2608.21398v12026
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Jiazhan Feng, Shijue Huang, Xingwei Qu +6
cs.CLcs.AIarXiv:2504.11536v22025
Learning to Inject: Automated Prompt Injection via Reinforcement Learning
Xin Chen, Jie Zhang, Florian Tramèr
cs.LGcs.AIarXiv:2602.05746v22026
Generalization and Exploration via Randomized Value Functions
Ian Osband, Benjamin Van Roy, Zheng Wen
stat.MLcs.AIcs.LGarXiv:1402.0635v32014
Reading Between The Lines: Modeling and Evaluating Behavioral Realism in Legal Simulation
Divya Vetticaden, Arya Gupta, Julian Nyarko +1
cs.CYcs.AIcs.CLarXiv:2608.13712v12026
Large Language Models for Time Series: A Survey
Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta +1
cs.LGcs.AIcs.CLarXiv:2402.01801v32024
Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation
Zhe Huang, Hao Wen, Aiming Hao +6
cs.CVcs.AIarXiv:2512.24271v12025
Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment
Tal Baumel, Jumana Nassour-Kassis, Raphael Cohen +2
cs.CLcs.AIarXiv:1709.09587v32017
Why did My Robot Just Change Personality? Prompting Guidelines for a Grounded Robot Persona in LLM-Based HRI
Ashita Ashok, Franziska Babel, Patrick Holthaus +7
cs.AIcs.HCcs.ROarXiv:2608.26182v12026
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Yixin Nie, Xiang Zhou, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:2010.03532v22020
TSMixer: An All-MLP Architecture for Time Series Forecasting
Si-An Chen, Chun-Liang Li, Nate Yoder +2
cs.LGcs.AIarXiv:2303.06053v52023
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne +82
cs.CVcs.AIarXiv:2110.07058v32021
In-Place Instruction Following in Diffusion Language Models
Zheng Nie, Zherui Li, Jiaming Zhang +3
cs.CLcs.AIarXiv:2609.07160v12026
Talking to Itself While Coding: What Makes Comments Help Code Generation?
Dangfeng Pan, Zhensu Sun, Cenyuan Zhang +2
cs.SEcs.AIarXiv:2609.09242v12026
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
Kevin Chen, Christopher B. Choy, Manolis Savva +3
cs.CVcs.AIcs.GRarXiv:1803.08495v12018
ORDDAR: Observation-Driven Reasoning for Distortion-Resilient Decision, Action, and Cognitive Recovery
Deblina Kar, Anant Nawalgaria, Shyamal Kumar Das Mandal
cs.AIcs.LGarXiv:2608.28704v12026
FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity
Matthew Arnold, Rachel K. E. Bellamy, Michael Hind +10
cs.CYcs.AIarXiv:1808.07261v22018
OProver: A Unified Framework for Agentic Formal Theorem Proving
David Ma, Kaijing Ma, Shawn Guo +7
cs.CLcs.AIarXiv:2605.17283v12026
A Multi-Framework Comparison of Outline Stages in Long-Form Generation with LLMs
Yifan Song
cs.CLcs.AIarXiv:2608.26177v12026
SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback
Chenxi Li, Wenxuan Zeng, Yun Luo +4
cs.AIarXiv:2609.30054v12026
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
cs.LGcs.AIcs.ROarXiv:1805.00909v32018
Convergent Linear Representations of Emergent Misalignment
Anna Soligo, Edward Turner, Senthooran Rajamanoharan +1
cs.LGcs.AIarXiv:2506.11618v22025
Learning reveals invisible structure in low-rank RNNs
Yoav Ger, Omri Barak
cs.LGcs.AIq-bio.NCarXiv:2605.04115v12026
AI chatbots versus human healthcare professionals: a systematic review and meta-analysis of empathy in patient care
Alastair Howcroft, Amber Bennett-Weston, Ahmad Khan +3
cs.HCcs.AIcs.CLarXiv:2602.05628v12026

Artificial Intelligence

AutoData: A Multi-Agent System for Open Web Data Collection

Personalizing Dialogue Agents via Meta-Learning

REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version

Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering

A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling

Ethical Hyper-Velocity (EHV): A Hardware-Rooted Zero-Trust Runtime Enforcement Architecture for Agentic AI Systems

Dual-Part Multi-Lateral Branched Network for Multi-Class Segmentation in Cardiovascular Catheterization Angiograms

Data Science and Technology Towards AGI Part I: Tiered Data Management

Threat-Preserving Representation Sensitivity in Agent-Security Benchmarks

Beyond Message Passing: Neural Graph Pattern Machine

Characterizing possible failure modes in physics-informed neural networks

LLM-Enhanced Dual-Branch Learning for Large-Scale Multi-Label Text Classification

gpt-oss-120b & gpt-oss-20b Model Card

CriticGen: Generation-Aware Evaluation as Actionable Feedback

Surprising Success, Repeated Failure: Entropy-Guided Credit Assignment for Exploration in LLM Reasoning

Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space

When Wording Steers the Evaluation: Framing Bias in LLM judges

AgentTuning: Enabling Generalized Agent Abilities for LLMs

Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and Culture

A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions

K-EXAONE Technical Report

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models

Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers

MOSS Transcribe Diarize Technical Report

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Causal Intervention-Based Memory Selection for Long-Horizon LLM Agents

Stabilizing Transformer Training by Preventing Attention Entropy Collapse

Learning from Natural Language Feedback for Personalized Question Answering

Eliciting Better Multilingual Structured Reasoning from LLMs through Code

Red-Teaming the Stable Diffusion Safety Filter

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

A Framework for Egocentric and Exocentric Procedural Understanding via Temporal Segmentation and Semantic Abstraction

When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models

REFINE: LLM Refinement over Budgeted Text-Attributed Graphs for Personalized Medical Concept Representation

Behavior Quotient Learning for Low-Rank Adaptation of LLM Agents

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Runtime Action Interference for AI Control of AlphaStar in StarCraft II

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Learning to Inject: Automated Prompt Injection via Reinforcement Learning

Generalization and Exploration via Randomized Value Functions

Reading Between The Lines: Modeling and Evaluating Behavioral Realism in Legal Simulation

Large Language Models for Time Series: A Survey

Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation

Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment

Why did My Robot Just Change Personality? Prompting Guidelines for a Grounded Robot Persona in LLM-Based HRI

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

TSMixer: An All-MLP Architecture for Time Series Forecasting

Ego4D: Around the World in 3,000 Hours of Egocentric Video

In-Place Instruction Following in Diffusion Language Models

Talking to Itself While Coding: What Makes Comments Help Code Generation?

Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings

ORDDAR: Observation-Driven Reasoning for Distortion-Resilient Decision, Action, and Cognitive Recovery

FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity

OProver: A Unified Framework for Agentic Formal Theorem Proving

A Multi-Framework Comparison of Outline Stages in Long-Form Generation with LLMs

SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback

Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Convergent Linear Representations of Emergent Misalignment

Learning reveals invisible structure in low-rank RNNs

AI chatbots versus human healthcare professionals: a systematic review and meta-analysis of empathy in patient care