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)

22,861 to 22,920 of 27,417

Deep Learning Based Steel Pipe Weld Defect Detection
Dingming Yang, Yanrong Cui, Zeyu Yu +1
cs.CVcs.AIarXiv:2104.14907v22021
Content Based Video Narration of Gameplay with Vision Language Models
Mathew Varghese
cs.CVcs.AIcs.GRarXiv:2608.14016v12026
Thinking Before Constraining: A Unified Decoding Framework for Large Language Models
Ngoc Trinh Hung Nguyen, Alonso Silva, Laith Zumot +3
cs.CLcs.AIarXiv:2601.07525v22026
Relation Extraction : A Survey
Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya
cs.CLcs.AIcs.IRarXiv:1712.05191v12017
VGGT-Diff: Visual Geometry Meets Diffusion for Sparse-View Novel View Synthesis
Kangjie Chen, Xiangyu Li, Dongbin Zhang +12
cs.CVcs.AIarXiv:2609.33253v12026
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani +2
cs.CLcs.AIcs.LGarXiv:2205.14217v12022
SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories
Lilin Wang, Lucas Ramalho, Alan Celestino +6
cs.SEcs.AIcs.CLarXiv:2512.17419v12025
Generative Retrieval for Unsupervised Text-Based Person Search
Mang Ye, Yucheng Ji, Yang Bai +4
cs.CVcs.AIarXiv:2609.12965v12026
Simulation Approaches to General Probabilistic Inference on Belief Networks
Ross D. Shachter, Mark Alan Peot
cs.AIarXiv:1304.1526v12013
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song, Hongyu Ren, Dorsa Sadigh +1
cs.LGcs.AIcs.MAarXiv:1807.09936v12018
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation
Huaishao Luo, Junwei Bao, Youzheng Wu +2
cs.CVcs.AIarXiv:2211.14813v22022
The Price of Thinking: Reasoning Effort as a Model-Specific API Contract
Yeabin Moon
cs.AIcs.CLcs.CYarXiv:2608.16956v12026
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky +2
cs.HCcs.AIcs.CVarXiv:2210.03735v22022
AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents
Yunhao Feng, Yifan Ding, Yingshui Tan +6
cs.AIarXiv:2604.02947v12026
EmoStance: Response-Side Affective-Orientation Control for Empathetic Response Generation via Emoji Weak Supervision
Ziyuan Jin, Yuxuan Ge, Zheng Tian
cs.AIcs.CLarXiv:2609.02133v12026
On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training
Xueyan Niu, Bo Bai, Wei Han +1
cs.LGcs.AIcs.ITarXiv:2601.07389v22026
GRASP: Learning to Ground Social Reasoning in Multi-Person Non-Verbal Interactions
Junho Kim, Xu Cao, Houze Yang +6
cs.CVcs.AIarXiv:2605.15764v12026
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
Shawn Shan, Wenxin Ding, Josephine Passananti +3
cs.CRcs.AIarXiv:2310.13828v32023
SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
Haobo Zheng, Tan Tang, Yan Chen +2
cs.CLcs.AIcs.IRarXiv:2609.26780v22026
Diffs vs. Whole Files: An Empirical Comparison of Iterative Edit-Based and Direct Generation for Flutter/Dart Code Models
Andrej Andrejev
cs.SEcs.AIarXiv:2609.05779v12026
Multi-Agent Evolve: LLM Self-Improve through Co-evolution
Yixing Chen, Yiding Wang, Siqi Zhu +5
cs.AIarXiv:2510.23595v32025
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Renhe Jiang, Zhaonan Wang, Jiawei Yong +6
cs.LGcs.AIarXiv:2211.14701v42022
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation
Tianyi Zhou, Dongrui Liu, Leitao Yuan +2
cs.AIcs.CLcs.LGarXiv:2605.31264v12026
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
ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
Jungwoo Oh, Hyunseung Chung, Junhee Lee +6
cs.LGcs.AIcs.CLarXiv:2603.14326v12026
Overview of the TREC 2020 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +1
cs.IRcs.AIcs.CLarXiv:2102.07662v12021
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang, Aston Zhang, Mu Li +1
cs.CLcs.AIarXiv:2210.03493v12022
Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning
Shireen Kudukkil Manchingal, Abhey Kalia, Fernanda Gonçalves +1
cs.LGcs.AIarXiv:2605.18871v12026
CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models
Zhenzhen Ren, GuoBiao Li, Sheng Li +2
cs.CRcs.AIarXiv:2505.16785v12025
ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond
Mingming Zhao, Jiqian Dong, Kangping Xu +16
cs.AIarXiv:2608.14354v12026
ConvMem: Convolutional Memory for Long-Context Reasoning
Hongming Zhang, Zhaozhen Gu, Fengshuo Bai +6
cs.AIcs.CLarXiv:2609.10441v12026
Segmental Advantage Estimation: Enhancing PPO for Long-Context LLM Training
Xue Gong, Qi Yi, Ziyuan Nan +8
cs.LGcs.AIarXiv:2601.07320v12026
CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance
Erik Thureck
cs.CLcs.AIcs.LGarXiv:2608.21462v12026
Rolling Day-Wise Mortality Prediction in Critically Ill Patients With AKI on CRRT Utilizing Machine Pressure Waveforms
Shehan Irteza Pranto, Joanna Yang, Joshua Lambert +6
cs.LGcs.AIarXiv:2609.13524v12026
AI Revealed Preferences
Sam Wang, Sofiia Lobanova, Yonathan Arbel +2
cs.AIarXiv:2608.26178v12026
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Costas Mavromatis, George Karypis
cs.CLcs.AIcs.LGarXiv:2405.20139v12024
Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
Wanghan Xu, Yuhao Zhou, Yifan Zhou +104
cs.AIcs.CLcs.LGarXiv:2512.16969v12025
DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems
Junwei Yu, Yepeng Ding, Hiroyuki Sato
cs.MAcs.AIcs.DCarXiv:2503.07675v22025
Where Should a Document Live: Context, Representations, or Parameters?
Nathanaël Carraz Rakotonirina, Momchil Hardalov, Gonzalo Iglesias +1
cs.CLcs.AIarXiv:2609.17346v12026
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Michael M. Bronstein, Joan Bruna, Taco Cohen +1
cs.LGcs.AIcs.CGarXiv:2104.13478v22021
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha, Wooyoung Kang, Jonghwan Mun +1
cs.CVcs.AIcs.CLarXiv:2312.06742v22023
GoalEvolve: From Handcrafted Algorithm Priors to Goal-Driven Evolution of Physical Design Algorithms
Haixu Liu, Lei Zhou, Yuhao Ren +2
cs.ARcs.AIarXiv:2608.16733v12026
Implicit Chain of Thought Reasoning via Knowledge Distillation
Yuntian Deng, Kiran Prasad, Roland Fernandez +3
cs.CLcs.AIcs.LGarXiv:2311.01460v12023
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore, Emma Brunskill
cs.LGcs.AIstat.MLarXiv:1703.07710v32017
Autonomous Scientific Discovery via Iterative Meta-Reflection
Bingchen Zhao, Sara Beery, Oisin Mac Aodha
cs.CVcs.AIarXiv:2607.01131v12026
Implicit Quantile Networks for Distributional Reinforcement Learning
Will Dabney, Georg Ostrovski, David Silver +1
cs.LGcs.AIstat.MLarXiv:1806.06923v12018
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely, Roy Frostig, Yoram Singer
cs.LGcs.AIcs.CCarXiv:1602.05897v22016
FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory
Lei Wei, Xiao Peng, Xu Dong +2
cs.AIcs.CLarXiv:2601.18642v22026
Can Large Language Model Agents Simulate Human Trust Behavior?
Chengxing Xie, Canyu Chen, Feiran Jia +11
cs.AIcs.CLcs.HCarXiv:2402.04559v42024
Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
Yang Zhang, Amr Mohamed, Hadi Abdine +2
cs.CLcs.AIarXiv:2506.11300v22025
Improving Neural Question Generation using Answer Separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin +1
cs.CLcs.AIcs.NEarXiv:1809.02393v22018
Knowledge-enhanced Black-box Attacks for Recommendations
Jingfan Chen, Wenqi Fan, Guanghui Zhu +4
cs.LGcs.AIcs.IRarXiv:2207.10307v12022
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Michael Janner, Sergey Levine, William T. Freeman +3
cs.LGcs.AIcs.CVarXiv:1812.10972v22018
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
Shuang Wu, Xiaoning Song, Zhenhua Feng
cs.CLcs.AIarXiv:2107.05418v12021
When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling
Heecheol Yun, Kwangmin Ki, Junghyun Lee +1
cs.CLcs.AIarXiv:2510.15346v22025
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong +2
cs.CVcs.AIcs.LGarXiv:2104.14558v12021
Probabilistic Fair Clustering
Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas +1
cs.LGcs.AIcs.DSarXiv:2006.10916v32020
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks
Liang Qu, Huaisheng Zhu, Ruiqi Zheng +2
cs.LGcs.AIarXiv:2106.02817v12021
Design-to-Plan: A Large Language Model-Based Multi-Agent Framework for Manufacturing Process Planning from 3D CAD Models and 2D Engineering Drawings
Muhammad Tayyab Khan, Lequn Chen, Wenhe Feng +1
cs.ROcs.AIarXiv:2608.24039v12026
UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling
Boyu Chen, Yi Chen, Lu Qiu +3
cs.ROcs.AIarXiv:2604.19734v12026

Artificial Intelligence

Deep Learning Based Steel Pipe Weld Defect Detection

Content Based Video Narration of Gameplay with Vision Language Models

Thinking Before Constraining: A Unified Decoding Framework for Large Language Models

Relation Extraction : A Survey

VGGT-Diff: Visual Geometry Meets Diffusion for Sparse-View Novel View Synthesis

Diffusion-LM Improves Controllable Text Generation

SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories

Generative Retrieval for Unsupervised Text-Based Person Search

Simulation Approaches to General Probabilistic Inference on Belief Networks

Multi-Agent Generative Adversarial Imitation Learning

SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation

The Price of Thinking: Reasoning Effort as a Model-Specific API Contract

"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction

AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents

EmoStance: Response-Side Affective-Orientation Control for Empathetic Response Generation via Emoji Weak Supervision

On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training

GRASP: Learning to Ground Social Reasoning in Multi-Person Non-Verbal Interactions

Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models

SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue

Diffs vs. Whole Files: An Empirical Comparison of Iterative Edit-Based and Direct Generation for Flutter/Dart Code Models

Multi-Agent Evolve: LLM Self-Improve through Co-evolution

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting

COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation

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

ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation

Overview of the TREC 2020 deep learning track

Automatic Chain of Thought Prompting in Large Language Models

Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning

CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models

ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyond

ConvMem: Convolutional Memory for Long-Context Reasoning

Segmental Advantage Estimation: Enhancing PPO for Long-Context LLM Training

CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance

Rolling Day-Wise Mortality Prediction in Critically Ill Patients With AKI on CRRT Utilizing Machine Pressure Waveforms

AI Revealed Preferences

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows

DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems

Where Should a Document Live: Context, Representations, or Parameters?

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Honeybee: Locality-enhanced Projector for Multimodal LLM

GoalEvolve: From Handcrafted Algorithm Priors to Goal-Driven Evolution of Physical Design Algorithms

Implicit Chain of Thought Reasoning via Knowledge Distillation

Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning

Autonomous Scientific Discovery via Iterative Meta-Reflection

Implicit Quantile Networks for Distributional Reinforcement Learning

Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity

FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory

Can Large Language Model Agents Simulate Human Trust Behavior?

Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning

Improving Neural Question Generation using Answer Separation

Knowledge-enhanced Black-box Attacks for Recommendations

Reasoning About Physical Interactions with Object-Oriented Prediction and Planning

MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition

When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

Probabilistic Fair Clustering

ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks

Design-to-Plan: A Large Language Model-Based Multi-Agent Framework for Manufacturing Process Planning from 3D CAD Models and 2D Engineering Drawings

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling