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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3,781 to 3,840 of 15,222

LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches
Linyang He, Qiyao Yu, Hanze Dong +5
cs.CLcs.AIcs.LGarXiv:2604.01754v12026
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu
cs.LGcs.AIcs.CRarXiv:2211.07893v22022
Controlled LLM Training on Spectral Sphere
Tian Xie, Haoming Luo, Haoyu Tang +9
cs.LGcs.AIarXiv:2601.08393v32026
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap
Weizhi Zhang, Yuanchen Bei, Liangwei Yang +15
cs.IRcs.AIarXiv:2501.01945v22025
trajectory-judge: What Outcome-Only LLM Judges Miss on Agent Trajectories
Hadi Mohammadi
cs.CLcs.AIcs.SEarXiv:2609.00038v12026
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Yangning Li, Weizhi Zhang, Yuyao Yang +17
cs.CLcs.AIarXiv:2507.09477v22025
A Survey on LoRA of Large Language Models
Yuren Mao, Yuhang Ge, Yijiang Fan +4
cs.LGcs.AIcs.CLarXiv:2407.11046v42024
Cross-Relational Preference Learning for Better LLM Instruction Following
Runsheng Li, Kai Sun, Bin Shi +1
cs.AIarXiv:2608.29352v12026
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez +1
cs.LGcs.AIstat.MLarXiv:2005.11081v22020
Security Concerns for Large Language Models: A Survey
Miles Q. Li, Benjamin C. M. Fung
cs.CRcs.AIarXiv:2505.18889v52025
Don't Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs
Xiang Zhang, Senyu Li, Bradley Hauer +2
cs.CLcs.AIarXiv:2305.16339v22023
RoboClaw: An Agentic Framework for Scalable Long-Horizon Robotic Tasks
Ruiying Li, Yunlang Zhou, YuYao Zhu +15
cs.ROcs.AIarXiv:2603.11558v32026
AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
Zhiyuan Zhou, Pranav Atreya, You Liang Tan +2
cs.ROcs.AIarXiv:2503.24278v22025
Towards Human-Bot Collaborative Software Architecting with ChatGPT
Aakash Ahmad, Muhammad Waseem, Peng Liang +3
cs.SEcs.AIarXiv:2302.14600v12023
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari +5
cs.LGcs.AIcs.CLarXiv:2404.08555v22024
Computational Depth Measurement in Thermographic Video: Overcoming Spatial Overfitting via Spatio-Temporal Decoupling
Zain Ul Abidin, Habeeban Memon, Junaid Ahmed
cs.AIcs.CVarXiv:2608.29223v12026
AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
Jiabin Tang, Tianyu Fan, Chao Huang
cs.AIcs.CLarXiv:2502.05957v32025
Recent Advances in Zero-shot Recognition
Yanwei Fu, Tao Xiang, Yu-Gang Jiang +3
cs.CVcs.AIcs.LGarXiv:1710.04837v12017
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
Yuan Gao, Mattia Piccinini, Yuchen Zhang +12
cs.ROcs.AIarXiv:2506.11526v42025
SkillGen: Verified Inference-Time Agent Skill Synthesis
Yuchen Ma, Yue Huang, Han Bao +5
cs.LGcs.AIcs.MAarXiv:2605.10999v12026
$τ^τ$-Bench: An Environment for End-To-End, Realistic Agent Construction
Quan Shi, Keshav Dhandhania, Karthik Narasimhan +1
cs.AIarXiv:2609.04611v12026
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo, Lu Cheng, Jundong Li +2
cs.AIstat.MEarXiv:1809.09337v42018
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning
Borong Zhang, Yuhao Zhang, Jiaming Ji +5
cs.ROcs.AIarXiv:2503.03480v42025
Plan Explicability and Predictability for Robot Task Planning
Yu Zhang, Sarath Sreedharan, Anagha Kulkarni +3
cs.AIcs.ROarXiv:1511.08158v22015
Deception Abilities Emerged in Large Language Models
Thilo Hagendorff
cs.CLcs.AIcs.LGarXiv:2307.16513v22023
Accelerating LLM Inference with Staged Speculative Decoding
Benjamin Spector, Chris Re
cs.AIcs.CLarXiv:2308.04623v12023
Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
Hua Shen, Nicholas Clark, Tanushree Mitra
cs.HCcs.AIcs.CLarXiv:2501.15463v42025
DataSciBench: An LLM Agent Benchmark for Data Science
Dan Zhang, Sining Zhoubian, Min Cai +7
cs.CLcs.AIcs.LGarXiv:2502.13897v12025
Tiny Machine Learning: Progress and Futures
Ji Lin, Ligeng Zhu, Wei-Ming Chen +2
cs.LGcs.AIcs.CVarXiv:2403.19076v22024
Enhancing Multimodal Emotion Recognition via Multi-Feature Encoding and Attention-Based Fusion
Xu Lin, Ke Wang, Hui Kang +1
cs.CVcs.AIcs.LGarXiv:2609.04690v12026
Fast and Effective On-policy Distillation from Reasoning Prefixes
Dongxu Zhang, Zhichao Yang, Sepehr Janghorbani +6
cs.LGcs.AIarXiv:2602.15260v12026
When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning
Xiaogeng Liu, Xinyan Wang, Yingzi Ma +2
cs.LGcs.AIarXiv:2605.21606v12026
Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang +4
cs.LGcs.AIcs.DCarXiv:2312.15234v22023
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Abhiram Maddukuri, Zhenyu Jiang, Lawrence Yunliang Chen +12
cs.ROcs.AIcs.LGarXiv:2503.24361v22025
Refuse without Refusal: A Structural Analysis of Safety-Tuning Responses for Reducing False Refusals in Language Models
Minji Kim, Hyounghun Kim
cs.CLcs.AIarXiv:2609.04714v12026
Frontier AI Regulation: Managing Emerging Risks to Public Safety
Markus Anderljung, Joslyn Barnhart, Anton Korinek +21
cs.CYcs.AIarXiv:2307.03718v42023
Why We Care About Understanding: Competence through Predictive Compression
Matthieu Queloz, Pierre Beckmann
cs.AIcs.CLarXiv:2609.04962v12026
Gym-Anything: Turn any Software into an Agent Environment
Pranjal Aggarwal, Graham Neubig, Sean Welleck
cs.LGcs.AIarXiv:2604.06126v12026
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
Ziniu Hu, Ahmet Iscen, Chen Sun +6
cs.CVcs.AIarXiv:2212.05221v22022
Dynamic Heterogeneous Graph Representation Learning: A Survey
Huan Liu, Pengfei Jiao, Jie Yin +2
cs.LGcs.AIcs.SIarXiv:2609.04779v12026
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry
Sai Sumedh R. Hindupur, Ekdeep Singh Lubana, Thomas Fel +1
cs.LGcs.AIarXiv:2503.01822v22025
Breaking the Protocol: Security Analysis of the Model Context Protocol Specification and Prompt Injection Vulnerabilities in Tool-Integrated LLM Agents
Narek Maloyan, Dmitry Namiot
cs.CRcs.AIarXiv:2601.17549v12026
Leveraging Imperfect Restoration for Data Availability Attack
Yi Huang, Jeremy Styborski, Mingzhi Lyu +2
cs.AIarXiv:2609.04627v12026
$τ$-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains
Soham Ray, Keshav Dhandhania, Victor Barres +1
cs.SDcs.AIarXiv:2603.13686v12026
On the Position Bias of On-Policy Distillation
Yan Xie, Sijie Zhu, Tiansheng Wen +2
cs.LGcs.AIarXiv:2606.22600v32026
Inducing Relational Knowledge from BERT
Zied Bouraoui, Jose Camacho-Collados, Steven Schockaert
cs.CLcs.AIarXiv:1911.12753v12019
De-skilling, Cognitive Offloading, and Misplaced Responsibilities: Potential Ironies of AI-Assisted Design
Prakash Shukla, Phuong Bui, Sean S Levy +3
cs.HCcs.AIarXiv:2503.03924v12025
A Survey of Multimodal Retrieval-Augmented Generation
Lang Mei, Siyu Mo, Zhihan Yang +1
cs.IRcs.AIcs.CLarXiv:2504.08748v12025
Which Attention Heads Matter for In-Context Learning?
Kayo Yin, Jacob Steinhardt
cs.LGcs.AIcs.CLarXiv:2502.14010v12025
LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction
Haoru Xue, Xiaoyu Huang, Dantong Niu +8
cs.ROcs.AIarXiv:2506.13751v32025
MIPaaL: Mixed Integer Program as a Layer
Aaron Ferber, Bryan Wilder, Bistra Dilkina +1
cs.LGcs.AIarXiv:1907.05912v22019
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu, Justin Fu, George Tucker +9
cs.AIcs.ROarXiv:2212.11419v22022
Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis
Nipa Anjum, Md Irfan Pavel, Robert Gonzalez +4
cs.HCcs.AIcs.LGarXiv:2608.28844v12026
EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection
Shuo Yang, Soyeon Caren Han, Xueqi Ma +3
cs.AIarXiv:2603.04900v12026
Capability-Stratified Degradation in Ternary Language Models
Anirudh Malik, M Sparsh Mehra, Poojith Devan
cs.AIarXiv:2608.28809v12026
Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests
Arto Hellas, Juho Leinonen, Sami Sarsa +3
cs.CYcs.AIcs.CLarXiv:2306.05715v12023
ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence
ARC Prize Foundation
cs.AIarXiv:2603.24621v22026
Do Massively Pretrained Language Models Make Better Storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena +2
cs.CLcs.AIcs.LGarXiv:1909.10705v12019
Efficient Reasoning with Hidden Thinking
Xuan Shen, Yizhou Wang, Yufa Zhou +4
cs.CLcs.AIcs.LGarXiv:2501.19201v22025
Who's in Charge? Disempowerment Patterns in Real-World LLM Usage
Mrinank Sharma, Miles McCain, Raymond Douglas +1
cs.CYcs.AIcs.CLarXiv:2601.19062v12026

Artificial Intelligence

LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

Controlled LLM Training on Spectral Sphere

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

trajectory-judge: What Outcome-Only LLM Judges Miss on Agent Trajectories

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

A Survey on LoRA of Large Language Models

Cross-Relational Preference Learning for Better LLM Instruction Following

Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking

Security Concerns for Large Language Models: A Survey

Don't Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs

RoboClaw: An Agentic Framework for Scalable Long-Horizon Robotic Tasks

AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World

Towards Human-Bot Collaborative Software Architecting with ChatGPT

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Computational Depth Measurement in Thermographic Video: Overcoming Spatial Overfitting via Spatio-Temporal Decoupling

AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents

Recent Advances in Zero-shot Recognition

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis

SkillGen: Verified Inference-Time Agent Skill Synthesis

$τ^τ$-Bench: An Environment for End-To-End, Realistic Agent Construction

A Survey of Learning Causality with Data: Problems and Methods

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning

Plan Explicability and Predictability for Robot Task Planning

Deception Abilities Emerged in Large Language Models

Accelerating LLM Inference with Staged Speculative Decoding

Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?

DataSciBench: An LLM Agent Benchmark for Data Science

Tiny Machine Learning: Progress and Futures

Enhancing Multimodal Emotion Recognition via Multi-Feature Encoding and Attention-Based Fusion

Fast and Effective On-policy Distillation from Reasoning Prefixes

When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Refuse without Refusal: A Structural Analysis of Safety-Tuning Responses for Reducing False Refusals in Language Models

Frontier AI Regulation: Managing Emerging Risks to Public Safety

Why We Care About Understanding: Competence through Predictive Compression

Gym-Anything: Turn any Software into an Agent Environment

REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory

Dynamic Heterogeneous Graph Representation Learning: A Survey

Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry

Breaking the Protocol: Security Analysis of the Model Context Protocol Specification and Prompt Injection Vulnerabilities in Tool-Integrated LLM Agents

Leveraging Imperfect Restoration for Data Availability Attack

$τ$-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains

On the Position Bias of On-Policy Distillation

Inducing Relational Knowledge from BERT

De-skilling, Cognitive Offloading, and Misplaced Responsibilities: Potential Ironies of AI-Assisted Design

A Survey of Multimodal Retrieval-Augmented Generation

Which Attention Heads Matter for In-Context Learning?

LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction

MIPaaL: Mixed Integer Program as a Layer

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios

Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis

EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection

Capability-Stratified Degradation in Ternary Language Models

Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests

ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence

Do Massively Pretrained Language Models Make Better Storytellers?

Efficient Reasoning with Hidden Thinking

Who's in Charge? Disempowerment Patterns in Real-World LLM Usage