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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5,401 to 5,460 of 15,404

The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm
Noah Amsel, David Persson, Christopher Musco +1
cs.LGcs.AIcs.CLarXiv:2505.16932v52025
Autonomous discovery of new structure-plausibility laws for explainable and rapid crystal diagnosis and screening
Zhilong Song, Lixue Cheng
cond-mat.mtrl-scics.AIarXiv:2609.01209v12026
SoK: When Safe Agents Fail Together: The Security of Multi Agent LLM Systems
Rui Yang, Junjie Xu, Zhengyu Liu +4
cs.CRcs.AIarXiv:2609.00595v12026
Ultralytics YOLO Evolution: An Overview of YOLO26, YOLO11, YOLOv8 and YOLOv5 Object Detectors for Computer Vision and Pattern Recognition
Ranjan Sapkota, Manoj Karkee
cs.CVcs.AIarXiv:2510.09653v32025
Programming Refusal with Conditional Activation Steering
Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy +4
cs.LGcs.AIcs.CLarXiv:2409.05907v32024
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
Qianhao Yuan, Jie Lou, Xing Yu +4
cs.CVcs.AIcs.CLarXiv:2605.18740v42026
GOOD: A Graph Out-of-Distribution Benchmark
Shurui Gui, Xiner Li, Limei Wang +1
cs.LGcs.AIarXiv:2206.08452v22022
Deep Exemplar-based Video Colorization
Bo Zhang, Mingming He, Jing Liao +4
cs.CVcs.AIcs.LGarXiv:1906.09909v12019
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
Haizhong Zheng, Yang Zhou, Brian R. Bartoldson +4
cs.AIcs.LGarXiv:2506.02177v12025
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
Amir Zandieh, Majid Daliri, Majid Hadian +1
cs.LGcs.AIcs.DBarXiv:2504.19874v12025
GTA1: GUI Test-time Scaling Agent
Yan Yang, Dongxu Li, Yutong Dai +12
cs.AIarXiv:2507.05791v52025
Calibration is the Bottleneck: An Action-Class Diagnostic of Multi-Turn Tool-Calling
Kangjia Zhao, Jiajun Li, Haozhan Shen +8
cs.CLcs.AIarXiv:2609.00949v12026
In-Context Neurofeedback: Can LLMs Control Their Internal Representations through Privileged Access?
Koshiro Aoki, Ryota Takatsuki, Gouki Minegishi +2
cs.AIarXiv:2609.00904v12026
Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens
Zeyuan Yang, Xueyang Yu, Delin Chen +2
cs.CVcs.AIarXiv:2506.17218v12025
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
Wei Xiong, Jiarui Yao, Yuhui Xu +8
cs.LGcs.AIcs.CLarXiv:2504.11343v22025
dLLM: Simple Diffusion Language Modeling
Zhanhui Zhou, Lingjie Chen, Hanghang Tong +1
cs.CLcs.AIcs.LGarXiv:2602.22661v12026
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Rulin Shao, Akari Asai, Shannon Zejiang Shen +18
cs.CLcs.AIcs.LGarXiv:2511.19399v32025
FG-CLIP: Fine-Grained Visual and Textual Alignment
Chunyu Xie, Bin Wang, Fanjing Kong +5
cs.CVcs.AIarXiv:2505.05071v32025
DNC-IMM: Early Lane-Change Intention Recognition via Neural Calibration Based on Driving Context Information
Woong-Chan Byun, Seung-Hyun Kong
cs.ROcs.AIarXiv:2609.01120v12026
Learning to Win by Reading Manuals in a Monte-Carlo Framework
S. R. K. Branavan, David Silver, Regina Barzilay
cs.CLcs.AIcs.LGarXiv:1401.5390v12014
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
Maggie Huan, Yuetai Li, Tuney Zheng +6
cs.AIcs.CLarXiv:2507.00432v22025
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations (from 2020 to 2024)
Daniel Molina, Javier Poyatos, Javier Del Ser +3
cs.AIarXiv:2002.08136v52020
Measuring what Matters: Construct Validity in Large Language Model Benchmarks
Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou +39
cs.CLcs.AIarXiv:2511.04703v12025
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin, Yaxuan Kong, Yuxuan Liang +13
cs.LGcs.AIarXiv:2310.10196v32023
NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks
Chia-Yu Hung, Qi Sun, Pengfei Hong +5
cs.ROcs.AIcs.CVarXiv:2504.19854v12025
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao, Tianpei Yang, Hongyao Tang +5
cs.AIcs.LGcs.MAarXiv:2109.06668v62021
Phi-4-reasoning Technical Report
Marah Abdin, Sahaj Agarwal, Ahmed Awadallah +20
cs.AIcs.CLarXiv:2504.21318v12025
InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners
Yuhang Liu, Pengxiang Li, Congkai Xie +5
cs.AIcs.CLarXiv:2504.14239v12025
EvoSkill: Automated Skill Discovery for Multi-Agent Systems
Salaheddin Alzubi, Noah Provenzano, Jaydon Bingham +2
cs.AIcs.MAarXiv:2603.02766v12026
DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents
Zhaorun Chen, Xun Liu, Haibo Tong +14
cs.AIarXiv:2605.04808v12026
Natural Emergent Misalignment from Reward Hacking in Production RL
Monte MacDiarmid, Benjamin Wright, Jonathan Uesato +19
cs.AIcs.SEarXiv:2511.18397v12025
Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
Xu Wang, Chenkai Xu, Yijie Jin +3
cs.LGcs.AIarXiv:2508.09192v12025
PEARL: Path-Entity Aligned Relational Learning with Contextual Subgraphs for Inductive Knowledge Graph Completion
Yunchi Yang, Longlong Li, Cunquan Qu
cs.AIarXiv:2609.02216v12026
Agent Gym: A Framework for Continuous Evaluation and Evolution of LLM Agents Through Human-in-the-Loop Feedback
Pouya Ghiasnezhad Omran, Michael Zimmermann, Duncan Cambridge +2
cs.AIarXiv:2608.15591v12026
Thinkless: LLM Learns When to Think
Gongfan Fang, Xinyin Ma, Xinchao Wang
cs.CLcs.AIarXiv:2505.13379v22025
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
Mohamed Amine Ferrag, Norbert Tihanyi, Merouane Debbah
cs.AIcs.LGarXiv:2504.19678v22025
Visual prompt engineering for video models
Robert Geirhos, Yuxuan Li, Thaddäus Wiedemer +7
cs.CVcs.AIarXiv:2607.25537v12026
WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios
Runsheng Xu, Hubert Lin, Wonseok Jeon +11
cs.CVcs.AIarXiv:2510.26125v32025
Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation
Bingnan Li, Haozhe Wang, Haozhong Xiong +5
cs.CVcs.AIcs.LGarXiv:2607.24731v22026
SpatialCLI: Learning to Reason With Spatial Tools, Then Without Them
Yang Zhou, Zixuan Huang, Sunzhu Li +10
cs.AIarXiv:2607.27703v22026
Where LLM Agents Fail and How They can Learn From Failures
Kunlun Zhu, Zijia Liu, Bingxuan Li +15
cs.AIarXiv:2509.25370v12025
Securing AI Agents with Information-Flow Control
Manuel Costa, Boris Köpf, Aashish Kolluri +6
cs.CRcs.AIarXiv:2505.23643v22025
Why human-AI relationships need socioaffective alignment
Hannah Rose Kirk, Iason Gabriel, Chris Summerfield +2
cs.HCcs.AIarXiv:2502.02528v12025
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
Gary Marcus
cs.AIcs.LGarXiv:2002.06177v32020
Are Language Models Actually Useful for Time Series Forecasting?
Mingtian Tan, Mike A. Merrill, Vinayak Gupta +2
cs.LGcs.AIarXiv:2406.16964v22024
CEDAR: Automata as Verifiable Interfaces for Language-Guided Embodied Action
Lekai Chen, Alvaro Velasquez, Ashutosh Trivedi
cs.AIcs.CLcs.FLarXiv:2608.27797v12026
Performance Foundations of Parallel & Distributed Reasoning Language Models
Maciej Besta, Leonard Schmidt, Lara Nonino +7
cs.LGcs.AIcs.DCarXiv:2608.27046v12026
A Lightweight Multimodal Vision-Language Framework for Early-Stage Anatomical Green Fruit Classification in Commercial Orchards
Ranjan Sapkota, William Bu, Chen Chen +2
cs.CVcs.AIarXiv:2608.24935v12026
Six misconceptions about large language models: A minimal model and diagnostic taxonomy
Zhicheng Lin
cs.CYcs.AIarXiv:2608.20421v12026
Which Negatives Matter? Ask Your Text Encoder: Adaptive Similarity Margins for Dense-Caption Retrieval
Haoyue Liu, Ye Chen, Zhichao Wang +1
cs.AIcs.LGarXiv:2608.18521v12026
Beyond Suspicious Steps: Ontological Trust in Long-Horizon Agents
An He, Yao Wang, Haibin Zhang
cs.AIarXiv:2608.17718v12026
When Do Explanations Help In-Context Learning? A Comparative Study of Natural Language Explanation Types and Faithfulness
Mahdi Dhaini, Adam Dejl, Juraj Vladika +3
cs.CLcs.AIarXiv:2608.16627v12026
Intent-Driven Situation Tracking for User-Centric Multi-Turn Agents
Meiling Tao, Yiling Tao, Peng Wang
cs.AIarXiv:2608.15755v12026
Engineering Reliable Coding Agents: Evaluating and Operating the System Around the Model
Stephanie Jarmak
cs.SEcs.AIarXiv:2608.13867v12026
When the Algorithm Becomes the Brand Crisis: A Sociotechnical Theory of Distributed Responsibility and Accountable Transparency
Mohammad Saleh Torkestani, Taha Mansouri
cs.AIarXiv:2609.00510v12026
Metacognition in LLMs: Foundations, Progress, and Opportunities
Gabrielle Kaili-May Liu, Areeb Gani, Jacqueline Lu +3
cs.CLcs.AIarXiv:2607.11881v12026
Automated Vulnerability Injection in Smart Contracts Using Large Language Models
Luca Migliaccio, Roberto Natella, Naghmeh Ivaki +2
cs.SEcs.AIcs.CRarXiv:2609.02624v12026
Summaries:한국어
CordisBench: Can Language Models Reason About Component Lifecycles in Dynamic Agent Harnesses?
Damien Sileo, Dimitri Kachler
cs.CLcs.AIarXiv:2609.01600v12026
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
Haggai Roitman
cs.AIcs.CLcs.IRarXiv:2606.24937v22026
Summaries:한국어
Agentic Large Language Models, a survey
Aske Plaat, Max van Duijn, Niki van Stein +3
cs.AIcs.CLcs.LGarXiv:2503.23037v32025

Artificial Intelligence

The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm

Autonomous discovery of new structure-plausibility laws for explainable and rapid crystal diagnosis and screening

SoK: When Safe Agents Fail Together: The Security of Multi Agent LLM Systems

Ultralytics YOLO Evolution: An Overview of YOLO26, YOLO11, YOLOv8 and YOLOv5 Object Detectors for Computer Vision and Pattern Recognition

Programming Refusal with Conditional Activation Steering

Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation

GOOD: A Graph Out-of-Distribution Benchmark

Deep Exemplar-based Video Colorization

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts

TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate

GTA1: GUI Test-time Scaling Agent

Calibration is the Bottleneck: An Action-Class Diagnostic of Multi-Turn Tool-Calling

In-Context Neurofeedback: Can LLMs Control Their Internal Representations through Privileged Access?

Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

dLLM: Simple Diffusion Language Modeling

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

FG-CLIP: Fine-Grained Visual and Textual Alignment

DNC-IMM: Early Lane-Change Intention Recognition via Neural Calibration Based on Driving Context Information

Learning to Win by Reading Manuals in a Monte-Carlo Framework

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations (from 2020 to 2024)

Measuring what Matters: Construct Validity in Large Language Model Benchmarks

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Phi-4-reasoning Technical Report

InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners

EvoSkill: Automated Skill Discovery for Multi-Agent Systems

DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents

Natural Emergent Misalignment from Reward Hacking in Production RL

Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing

PEARL: Path-Entity Aligned Relational Learning with Contextual Subgraphs for Inductive Knowledge Graph Completion

Agent Gym: A Framework for Continuous Evaluation and Evolution of LLM Agents Through Human-in-the-Loop Feedback

Thinkless: LLM Learns When to Think

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Visual prompt engineering for video models

WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios

Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation

SpatialCLI: Learning to Reason With Spatial Tools, Then Without Them

Where LLM Agents Fail and How They can Learn From Failures

Securing AI Agents with Information-Flow Control

Why human-AI relationships need socioaffective alignment

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

Are Language Models Actually Useful for Time Series Forecasting?

CEDAR: Automata as Verifiable Interfaces for Language-Guided Embodied Action

Performance Foundations of Parallel & Distributed Reasoning Language Models

A Lightweight Multimodal Vision-Language Framework for Early-Stage Anatomical Green Fruit Classification in Commercial Orchards

Six misconceptions about large language models: A minimal model and diagnostic taxonomy

Which Negatives Matter? Ask Your Text Encoder: Adaptive Similarity Margins for Dense-Caption Retrieval

Beyond Suspicious Steps: Ontological Trust in Long-Horizon Agents

When Do Explanations Help In-Context Learning? A Comparative Study of Natural Language Explanation Types and Faithfulness

Intent-Driven Situation Tracking for User-Centric Multi-Turn Agents

Engineering Reliable Coding Agents: Evaluating and Operating the System Around the Model

When the Algorithm Becomes the Brand Crisis: A Sociotechnical Theory of Distributed Responsibility and Accountable Transparency

Metacognition in LLMs: Foundations, Progress, and Opportunities

Automated Vulnerability Injection in Smart Contracts Using Large Language Models

CordisBench: Can Language Models Reason About Component Lifecycles in Dynamic Agent Harnesses?

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems

Agentic Large Language Models, a survey