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)

3,541 to 3,600 of 15,439

Wink: Recovering from Misbehaviors in Coding Agents
Rahul Nanda, Chandra Maddila, Smriti Jha +3
cs.SEcs.AIcs.HCarXiv:2602.17037v22026
Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges
Chen Feng, Minghe Shen, Ananth Balashankar +2
cs.LGcs.AIcs.CVarXiv:2601.20913v12026
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li, Xiao-Ming Wu, Han Liu +2
cs.LGcs.AIstat.MLarXiv:1901.09993v32019
A Systematic Review for Transformer-based Long-term Series Forecasting
Liyilei Su, Xumin Zuo, Rui Li +3
cs.LGcs.AIarXiv:2310.20218v12023
Trajectory-Informed Memory Generation for Self-Improving Agent Systems
Gaodan Fang, Vatche Isahagian, K. R. Jayaram +4
cs.AIcs.DBcs.IRarXiv:2603.10600v12026
Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents
Zehong Wang, Fang Wu, Hongru Wang +8
cs.AIcs.CLcs.LGarXiv:2601.22311v12026
GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training
Yuan Cao, Dezhi Ran, Mengzhou Wu +9
cs.AIcs.LGarXiv:2602.14093v12026
M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions
Junyu Feng, Binxiao Xu, Jiayi Chen +8
cs.AIarXiv:2602.07624v12026
AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition
Ruipeng Wang, Yuxin Chen, Yukai Wang +9
cs.AIarXiv:2602.11348v22026
Nüwa: Mending the Spatial Integrity Torn by VLM Token Pruning
Yihong Huang, Fei Ma, Yihua Shao +4
cs.CVcs.AIcs.CLarXiv:2602.02951v12026
Free Speech and Artificial Intelligence
Etienne Brown
cs.CYcs.AIarXiv:2608.28973v12026
Not the Same Protector: Deployment-Dependent Protective Intervention in LLMs
Eunna Lee, Soomyoung Lee, Jungpyo Nam +6
cs.CRcs.AIarXiv:2608.29136v12026
Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks
Ang Li, Yin Zhou, Vethavikashini Chithrra Raghuram +2
cs.LGcs.AIarXiv:2502.08586v12025
Limits of trust in medical AI
Joshua Hatherley
cs.LGcs.AIcs.CYarXiv:2503.16692v22025
Development of an Autonomous AI Coding Agent using Monte Carlo Tree Search (MCTS) and Gemini LLM Frameworks
Pravin Game, Vipin Ramakrishnan, Prathamesh Wagh
cs.LGcs.AIarXiv:2608.29096v12026
An effective algorithm for hyperparameter optimization of neural networks
Gonzalo Diaz, Achille Fokoue, Giacomo Nannicini +1
cs.AIcs.LGcs.NEarXiv:1705.08520v12017
Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models
Ashvin Gupta, Denys Prociuk, Alessandra Russo +1
cs.AIarXiv:2608.30022v12026
MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
Zixuan Ke, Yifei Ming, Austin Xu +7
cs.AIcs.CLcs.MAarXiv:2601.14652v52026
6G-Bench: An Open Benchmark for Semantic Communication and Network-Level Reasoning with Foundation Models in AI-Native 6G Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
cs.NIcs.AIarXiv:2602.08675v12026
A Generalized Optimization Engine (GOE) for Edge AI Inference Acceleration
Venkat R. Dasari, Jakob A. Adams, Vinod K. Mishra +1
cs.AIarXiv:2608.28652v12026
Topic Matching in the Wild: Benchmark and Lessons from Real-World ASR Transcripts
Saman Rahbar, Xiliang Zhu, Irvin Cardoza +1
cs.CLcs.AIcs.LGarXiv:2609.00330v12026
Large-Scale Optimization Model Auto-Formulation: Harnessing LLM Flexibility via Structured Workflow
Kuo Liang, Yuhang Lu, Jianming Mao +7
cs.AIcs.LGarXiv:2601.09635v32026
From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems
Yawen Wang, Wenjie Wu, Junjie Wang +1
cs.AIcs.SEarXiv:2602.23701v12026
MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning
Xiaoliang Fu, Jiaye Lin, Yangyi Fang +7
cs.LGcs.AIarXiv:2602.17550v32026
Interpretable All-Type Audio Deepfake Detection with Audio LLMs via Frequency-Time Reinforcement Learning
Yuankun Xie, Xiaoxuan Guo, Jiayi Zhou +6
cs.SDcs.AIarXiv:2601.02983v12026
How Identity and Opinion Shape Political Sycophancy in LLMs
Li-Ni Fu, Chang-Chih Meng, Chien-Hua Chen +2
cs.AIcs.CLcs.CYarXiv:2608.29198v12026
Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning
Jinyuan Zhang, Peng He, He Hu +2
cs.LGcs.AIcs.CLarXiv:2609.00064v12026
GhostCite: A Large-Scale Analysis of Citation Validity in the Age of Large Language Models
Zuyao Xu, Yuqi Qiu, Lu Sun +14
cs.CRcs.AIarXiv:2602.06718v22026
BenchGuard: Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks
Xinming Tu, Tianze Wang, Yingzhou +4
cs.CLcs.AIcs.SEarXiv:2604.24955v12026
Modern Views of Machine Learning for Precision Psychiatry
Zhe Sage Chen, Prathamesh, Kulkarni +4
cs.LGcs.AIq-bio.NCarXiv:2204.01607v22022
Review Before Trust: Source-Grounded Integrity Gates for AI-Assisted Personal Health Records
Nora Girda, Adrian Groza
cs.AIarXiv:2608.29965v12026
FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval
Zixu Li, Zhiheng Fu, Yupeng Hu +3
cs.CVcs.AIarXiv:2503.21309v12025
Quantifying Frontier LLM Capabilities for Container Sandbox Escape
Rahul Marchand, Art O Cathain, Jerome Wynne +8
cs.CRcs.AIarXiv:2603.02277v32026
PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling
Xinyu Yuan, Xixian Liu, Ya Shi Zhang +3
cs.LGcs.AIarXiv:2602.19685v12026
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
Zhaofen Wu, Hanrong Zhang, Fulin Lin +9
cs.AIarXiv:2604.12285v12026
scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
Chenglei Yu, Chuanrui Wang, Bangyan Liao +1
q-bio.QMcs.AIarXiv:2602.07103v12026
How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study
Zhihao Chen, Ying Zhang, Yi Liu +7
cs.CRcs.AIarXiv:2604.03070v22026
PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?
Sidharth Pulipaka, Oliver Chen, Manas Sharma +3
cs.AIarXiv:2602.01146v22026
SynCrash: A Multi-Stage Pipeline for Zero-Shot Accident Detection and Localization in Traffic Surveillance Video
Arkya Jyoti Bagchi, Ritul Jangir, Varun Raskar
cs.CVcs.AIarXiv:2608.29759v12026
PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement
Zhijie Wang, Yuheng Huang, Da Song +2
cs.HCcs.AIarXiv:2403.04014v12024
Sustainable Hybrid Document-Routed Retrieval for Financial RAG: Resolving the Robustness-Precision Trade-off
Zhiyuan Cheng, Longying Lai, Yue Liu
cs.CLcs.AIcs.IRarXiv:2603.26815v32026
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
Bharath Chintagunta, Namit Katariya, Xavier Amatriain +1
cs.CLcs.AIcs.LGarXiv:2110.07356v12021
A Systematic Security Evaluation of OpenClaw and Its Variants
Yuhang Wang, Haichang Gao, Zhenxing Niu +4
cs.CRcs.AIarXiv:2604.03131v12026
Towards Secure Agent Skills: Architecture, Threat Taxonomy, and Security Analysis
Zhiyuan Li, Jingzheng Wu, Xiang Ling +2
cs.CRcs.AIarXiv:2604.02837v12026
Cost-Effective Repository Exploration for Agentic Issue Localization
Mohammad Nour Al Awad, Sergey Ivanov
cs.SEcs.AIarXiv:2608.29675v12026
From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration
Yizhe Xie, Congcong Zhu, Xinyue Zhang +5
cs.MAcs.AIarXiv:2603.04474v22026
Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning
Zhiming Xue, Sichen Zhao, Yalun Qi +2
cs.AIarXiv:2601.13632v22026
Forget or Fine-tune? A Comparative Study of Machine Unlearning Strategies for Noisy Label Correction
João L. P. Santana, Filipe R. Cordeiro
cs.LGcs.AIarXiv:2608.30046v12026
IH-Challenge: A Training Dataset to Improve Instruction Hierarchy on Frontier LLMs
Chuan Guo, Juan Felipe Ceron Uribe, Sicheng Zhu +10
cs.AIcs.CLcs.CRarXiv:2603.10521v12026
HorizonBench: Long-Horizon Personalization with Evolving Preferences
Shuyue Stella Li, Bhargavi Paranjape, Kerem Oktar +9
cs.CLcs.AIarXiv:2604.17283v12026
Change in Abstract Argumentation Frameworks: Adding an Argument
Claudette Cayrol, Florence Dupin de Saint-Cyr, Marie-Christine Lagasquie-Schiex
cs.AIarXiv:1401.3838v12014
Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
Yingxuan Yang, Chengrui Qu, Muning Wen +5
cs.AIcs.LGarXiv:2602.03794v12026
Measuring Progress Toward AGI: A Cognitive Framework
Ryan Burnell, Yumeya Yamamori, Orhan Firat +10
cs.AIarXiv:2605.28405v12026
Theory of Mind for Multi-Agent Collaboration via Large Language Models
Huao Li, Yu Quan Chong, Simon Stepputtis +4
cs.CLcs.AIarXiv:2310.10701v32023
Delegating Before Learning: Where Generative AI Sits in Students' Professional Communication
Jared Ren, Soobin Cho
cs.HCcs.AIarXiv:2608.28837v12026
Defending Wearable VLMs Against Private Attribute Inference
Zhimin Li, Pan Wang, Jingxian Chen +4
cs.CVcs.AIarXiv:2608.28691v12026
MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents
Shu Wang, Edwin Yu, Oscar Love +4
cs.AIarXiv:2604.04853v12026
PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
Yiwen Song, Yale Song, Tomas Pfister +1
cs.AIcs.LGcs.MAarXiv:2604.05018v12026
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents
Wenkai Yang, Xiaohan Bi, Yankai Lin +3
cs.CRcs.AIcs.CLarXiv:2402.11208v22024
OAT: Ordered Action Tokenization
Chaoqi Liu, Xiaoshen Han, Jiawei Gao +3
cs.ROcs.AIcs.LGarXiv:2602.04215v22026

Artificial Intelligence

Wink: Recovering from Misbehaviors in Coding Agents

Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges

Label Efficient Semi-Supervised Learning via Graph Filtering

A Systematic Review for Transformer-based Long-term Series Forecasting

Trajectory-Informed Memory Generation for Self-Improving Agent Systems

Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents

GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training

M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions

AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition

Nüwa: Mending the Spatial Integrity Torn by VLM Token Pruning

Free Speech and Artificial Intelligence

Not the Same Protector: Deployment-Dependent Protective Intervention in LLMs

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks

Limits of trust in medical AI

Development of an Autonomous AI Coding Agent using Monte Carlo Tree Search (MCTS) and Gemini LLM Frameworks

An effective algorithm for hyperparameter optimization of neural networks

Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models

MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks

6G-Bench: An Open Benchmark for Semantic Communication and Network-Level Reasoning with Foundation Models in AI-Native 6G Networks

A Generalized Optimization Engine (GOE) for Edge AI Inference Acceleration

Topic Matching in the Wild: Benchmark and Lessons from Real-World ASR Transcripts

Large-Scale Optimization Model Auto-Formulation: Harnessing LLM Flexibility via Structured Workflow

From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems

MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning

Interpretable All-Type Audio Deepfake Detection with Audio LLMs via Frequency-Time Reinforcement Learning

How Identity and Opinion Shape Political Sycophancy in LLMs

Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning

GhostCite: A Large-Scale Analysis of Citation Validity in the Age of Large Language Models

BenchGuard: Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks

Modern Views of Machine Learning for Precision Psychiatry

Review Before Trust: Source-Grounded Integrity Gates for AI-Assisted Personal Health Records

FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval

Quantifying Frontier LLM Capabilities for Container Sandbox Escape

PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling

GAM: Hierarchical Graph-based Agentic Memory for LLM Agents

scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction

How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study

PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?

SynCrash: A Multi-Stage Pipeline for Zero-Shot Accident Detection and Localization in Traffic Surveillance Video

PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement

Sustainable Hybrid Document-Routed Retrieval for Financial RAG: Resolving the Robustness-Precision Trade-off

Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization

A Systematic Security Evaluation of OpenClaw and Its Variants

Towards Secure Agent Skills: Architecture, Threat Taxonomy, and Security Analysis

Cost-Effective Repository Exploration for Agentic Issue Localization

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning

Forget or Fine-tune? A Comparative Study of Machine Unlearning Strategies for Noisy Label Correction

IH-Challenge: A Training Dataset to Improve Instruction Hierarchy on Frontier LLMs

HorizonBench: Long-Horizon Personalization with Evolving Preferences

Change in Abstract Argumentation Frameworks: Adding an Argument

Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity

Measuring Progress Toward AGI: A Cognitive Framework

Theory of Mind for Multi-Agent Collaboration via Large Language Models

Delegating Before Learning: Where Generative AI Sits in Students' Professional Communication

Defending Wearable VLMs Against Private Attribute Inference

MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents

PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents

OAT: Ordered Action Tokenization