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)

4,441 to 4,500 of 15,280

Path Planning for Masked Diffusion Model Sampling
Fred Zhangzhi Peng, Zachary Bezemek, Sawan Patel +5
cs.LGcs.AIarXiv:2502.03540v52025
LLMs4OL: Large Language Models for Ontology Learning
Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer
cs.AIcs.CLcs.ITarXiv:2307.16648v22023
SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams
Ao Yan, Xin Zhang, Jiawei Du +1
cs.AIarXiv:2609.02217v12026
Recent Advances in Discrete Speech Tokens: A Review
Yiwei Guo, Zhihan Li, Hankun Wang +7
eess.AScs.AIcs.MMarXiv:2502.06490v42025
A Framework for Human Evaluation of Large Language Models in Healthcare Derived from Literature Review
Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor +12
cs.CLcs.AIarXiv:2405.02559v22024
SIoU Loss: More Powerful Learning for Bounding Box Regression
Zhora Gevorgyan
cs.CVcs.AIarXiv:2205.12740v12022
DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
Hao Li, Xiaogeng Liu, Hung-Chun Chiu +3
cs.CRcs.AIarXiv:2506.12104v32025
Ethical and social risks of harm from Language Models
Laura Weidinger, John Mellor, Maribeth Rauh +20
cs.CLcs.AIcs.CYarXiv:2112.04359v12021
RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
Zijing Zhang, Ziyang Chen, Mingxiao Li +2
cs.LGcs.AIarXiv:2507.22844v12025
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation
Jiawei Du, Yidi Jiang, Vincent Y. F. Tan +2
cs.LGcs.AIcs.CVarXiv:2211.11004v32022
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Juan Rocamonde, Victoriano Montesinos, Elvis Nava +2
cs.LGcs.AIarXiv:2310.12921v22023
The pitfalls of next-token prediction
Gregor Bachmann, Vaishnavh Nagarajan
cs.CLcs.AIcs.LGarXiv:2403.06963v32024
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths
Boyu Chen, Zirui Guo, Zidan Yang +5
cs.CLcs.AIcs.IRarXiv:2502.14902v22025
SAEs Are Good for Steering -- If You Select the Right Features
Dana Arad, Aaron Mueller, Yonatan Belinkov
cs.LGcs.AIcs.CLarXiv:2505.20063v22025
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
Xiaoya Li, Albert Wang, Guoyin Wang +2
cs.AIcs.DCcs.LGarXiv:2507.14111v122025
PlanGenLLMs: A Modern Survey of LLM Planning Capabilities
Hui Wei, Zihao Zhang, Shenghua He +3
cs.AIcs.CLarXiv:2502.11221v32025
StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
Chongjie Ye, Lingteng Qiu, Xiaodong Gu +6
cs.CVcs.AIcs.GRarXiv:2406.16864v12024
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025
Matthew A. Reyna, Zuzana Koscova, Jan Pavlus +11
cs.LGcs.AIarXiv:2510.02202v12025
Robust Autonomy Emerges from Self-Play
Marco Cusumano-Towner, David Hafner, Alex Hertzberg +9
cs.LGcs.AIcs.ROarXiv:2502.03349v12025
SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support
Xingyan Liu, Xiyue Luo, Linyu Li +3
cs.IRcs.AIcs.SEarXiv:2604.08618v22026
CLIP-It! Language-Guided Video Summarization
Medhini Narasimhan, Anna Rohrbach, Trevor Darrell
cs.CVcs.AIcs.MMarXiv:2107.00650v22021
Reasoning Models Better Express Their Confidence
Dongkeun Yoon, Seungone Kim, Sohee Yang +6
cs.AIcs.CLarXiv:2505.14489v22025
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin +11
cs.CVcs.AIcs.CLarXiv:2503.15661v22025
Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning
Yufei Zhan, Yousong Zhu, Shurong Zheng +4
cs.CVcs.AIarXiv:2503.18013v12025
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid +1
cs.CVcs.AIarXiv:2011.12077v42020
ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning
Zexi Liu, Yuzhu Cai, Xinyu Zhu +6
cs.AIcs.LGarXiv:2506.16499v12025
Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning
Jérôme Bolte, Edouard Pauwels
math.OCcs.AIcs.LGarXiv:1909.10300v42019
What Makes a Reward Model a Good Teacher? An Optimization Perspective
Noam Razin, Zixuan Wang, Hubert Strauss +3
cs.LGcs.AIcs.CLarXiv:2503.15477v42025
Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms
Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan +2
cs.NEcs.AIarXiv:2212.09479v12022
Agent Learning via Early Experience
Kai Zhang, Xiangchao Chen, Bo Liu +27
cs.AIcs.CLcs.IRarXiv:2510.08558v32025
Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents
Axel Backlund, Lukas Petersson
cs.AIarXiv:2502.15840v12025
DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness
Yiming Zhong, Qi Jiang, Jingyi Yu +1
cs.CVcs.AIcs.ROarXiv:2503.08257v22025
Comprehensive Comparative Study of Multi-Label Classification Methods
Jasmin Bogatinovski, Ljupčo Todorovski, Sašo Džeroski +1
cs.LGcs.AIcs.CCarXiv:2102.07113v22021
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
Peiyan Li, Yixiang Chen, Hongtao Wu +6
cs.ROcs.AIarXiv:2506.07961v22025
What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems
Javier Sanchez-Monedero, Lina Dencik, Lilian Edwards
cs.CYcs.AIarXiv:1910.06144v22019
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
Bartosz Cywiński, Kamil Deja
cs.LGcs.AIarXiv:2501.18052v32025
Can LLMs Design Video Coding Tools? A Case Study on Planar Mode
Yingwen Zhang, Meng Wang, Liqiang He +1
cs.MMcs.AIarXiv:2609.01535v12026
Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents
Xiaofang Yang, Ziqi Miao, Dianbo Sui +2
cs.CRcs.AIarXiv:2609.01487v12026
Auditing language models for hidden objectives
Samuel Marks, Johannes Treutlein, Trenton Bricken +32
cs.AIcs.CLcs.LGarXiv:2503.10965v22025
Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading
Fatemeh Javadian, Zhu Chen, Zahra Aminparast +1
cs.CVcs.AIcs.LGarXiv:2609.01426v12026
Measuring consistency via ensemble margin and local prediction variability: Auditing decision systems in the presence of predictive multiplicity
Sinjini Banerjee, Tim Marrinan, Anand D. Sarwate
stat.MLcs.AIcs.LGarXiv:2609.01397v12026
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
Tao Liu, Kai Wang, Senmao Li +6
cs.CVcs.AIcs.LGarXiv:2501.13554v32025
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu +2
cs.HCcs.AIarXiv:2405.00623v22024
The zbMATH Open Knowledge Graph: Tracing Centuries of Mathematical Research
Yuni Susanti, Moritz Schubotz
cs.DLcs.AIarXiv:2609.00969v12026
GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents
Yuqi Zhou, Sunhao Dai, Shuai Wang +3
cs.CLcs.AIcs.CVarXiv:2505.15810v22025
DualStake: Dual-Path Confidence Calibration in Deep Research Agents
Yinuo Xu, Yuwei Liang, Jianjie Cheng +4
cs.CLcs.AIcs.LGarXiv:2609.00935v12026
From Assistant to Double Agent: Formalizing and Benchmarking Attacks on OpenClaw for Personalized Local AI Agent
Yuhang Wang, Feiming Xu, Zheng Lin +6
cs.AIarXiv:2602.08412v22026
Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation
Maria Eriksson, Erasmo Purificato, Arman Noroozian +4
cs.AIarXiv:2502.06559v22025
Confess What You Know: Forget-Set Misalignment with Model Knowledge in LLM Unlearning
Miso Kim, Georu Lee, Seungwon Jeong +1
cs.LGcs.AIcs.CLarXiv:2609.00605v12026
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation
Yuxing Han, Ziniu Wu, Peizhi Wu +11
cs.DBcs.AIarXiv:2109.05877v32021
A Study of Hidden-State Optimization Order in Predictive Coding Networks
Xueyuan Li, Danilo Vasconcellos Vargas
cs.LGcs.AIarXiv:2609.00686v12026
Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents
Qirui Mi, Zhijian Ma, Mengyue Yang +4
cs.AIarXiv:2602.01869v32026
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
Xiangru Tang, Tianrui Qin, Tianhao Peng +15
cs.CLcs.AIarXiv:2507.06229v52025
PopPert: Population-level Joint-Distribution Modeling for Single-Cell Perturbation Prediction
Handong Wang, Jiaxin Qi, Haochen Feng +1
q-bio.GNcs.AIarXiv:2609.01357v12026
ViTAMINS: An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives
Nikos Giakoumoglou, Andreas Floros, Kleanthis-Marios Papadopoulos +1
cs.CVcs.AIcs.LGarXiv:2609.01041v12026
Sparse Autoencoders Do Not Find Canonical Units of Analysis
Patrick Leask, Bart Bussmann, Michael Pearce +5
cs.LGcs.AIarXiv:2502.04878v12025
SMART: Self-Aware Agent for Tool Overuse Mitigation
Cheng Qian, Emre Can Acikgoz, Hongru Wang +5
cs.AIcs.CLcs.LGarXiv:2502.11435v22025
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen, Suraj Nair, Chelsea Finn
cs.ROcs.AIcs.CVarXiv:2103.16817v12021
Embedded Conditional Independence Tests for Large Language Model Generated Text with an Application to German Parliament Speeches
Marco Simnacher, Georg Keilbar, Benjamin König +2
stat.MLcs.AIcs.LGarXiv:2609.00946v12026
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
cs.SEcs.AIcs.CLarXiv:2505.19443v12025

Artificial Intelligence

Path Planning for Masked Diffusion Model Sampling

LLMs4OL: Large Language Models for Ontology Learning

SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams

Recent Advances in Discrete Speech Tokens: A Review

A Framework for Human Evaluation of Large Language Models in Healthcare Derived from Literature Review

SIoU Loss: More Powerful Learning for Bounding Box Regression

DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

Ethical and social risks of harm from Language Models

RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents

Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation

Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning

The pitfalls of next-token prediction

PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths

SAEs Are Good for Steering -- If You Select the Right Features

CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

PlanGenLLMs: A Modern Survey of LLM Planning Capabilities

StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal

Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

Robust Autonomy Emerges from Self-Play

SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support

CLIP-It! Language-Guided Video Summarization

Reasoning Models Better Express Their Confidence

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction

Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning

CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning

Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning

What Makes a Reward Model a Good Teacher? An Optimization Perspective

Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms

Agent Learning via Early Experience

Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents

DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness

Comprehensive Comparative Study of Multi-Label Classification Methods

BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models

What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Can LLMs Design Video Coding Tools? A Case Study on Planar Mode

Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents

Auditing language models for hidden objectives

Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading

Measuring consistency via ensemble margin and local prediction variability: Auditing decision systems in the presence of predictive multiplicity

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust

The zbMATH Open Knowledge Graph: Tracing Centuries of Mathematical Research

GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents

DualStake: Dual-Path Confidence Calibration in Deep Research Agents

From Assistant to Double Agent: Formalizing and Benchmarking Attacks on OpenClaw for Personalized Local AI Agent

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation

Confess What You Know: Forget-Set Misalignment with Model Knowledge in LLM Unlearning

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

A Study of Hidden-State Optimization Order in Predictive Coding Networks

Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents

Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving

PopPert: Population-level Joint-Distribution Modeling for Single-Cell Perturbation Prediction

ViTAMINS: An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives

Sparse Autoencoders Do Not Find Canonical Units of Analysis

SMART: Self-Aware Agent for Tool Overuse Mitigation

Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos

Embedded Conditional Independence Tests for Large Language Model Generated Text with an Application to German Parliament Speeches

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI