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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1 to 60 of 15,209

Linear attention is (maybe) all you need (to understand transformer optimization)
Kwangjun Ahn, Xiang Cheng, Minhak Song +3
cs.LGcs.AImath.OCarXiv:2310.01082v22023
HABERTOR: An Efficient and Effective Deep Hatespeech Detector
Thanh Tran, Yifan Hu, Changwei Hu +4
cs.CLcs.AIcs.IRarXiv:2010.08865v12020
Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
Yongding Tao, Tian Wang, Yihong Dong +4
cs.CLcs.AIcs.LGarXiv:2510.09259v22025
LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
Yiming Wang, Da Yin, Yuedong Cui +8
cs.CLcs.AIcs.LGarXiv:2510.14969v12025
Agentic Knowledgeable Self-awareness
Shuofei Qiao, Zhisong Qiu, Baochang Ren +8
cs.CLcs.AIcs.CVarXiv:2504.03553v22025
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao +4
cs.ETcs.AIcs.LGarXiv:2411.03859v32024
Finding Generalizable Evidence by Learning to Convince Q&A Models
Ethan Perez, Siddharth Karamcheti, Rob Fergus +3
cs.CLcs.AIcs.IRarXiv:1909.05863v12019
Keyword search is all you need: Achieving RAG-Level Performance without vector databases using agentic tool use
Shreyas Subramanian, Adewale Akinfaderin, Yanyan Zhang +4
cs.IRcs.AIarXiv:2602.23368v12025
Plan-over-Graph: Towards Parallelable LLM Agent Schedule
Shiqi Zhang, Xinbei Ma, Zouying Cao +2
cs.AIarXiv:2502.14563v12025
The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
Zihao Wei, Liang Pang, Jiahao Liu +7
cs.CLcs.AIarXiv:2508.17627v22025
Diving Deep into Modes of Fact Hallucinations in Dialogue Systems
Souvik Das, Sougata Saha, Rohini K. Srihari
cs.CLcs.AIarXiv:2301.04449v12023
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
Yue Meng, Chuchu Fan
cs.ROcs.AIcs.FLarXiv:2505.00562v12025
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan J. Foster, Adam Block, Dipendra Misra
cs.LGcs.AImath.STarXiv:2407.15007v22024
Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models
Davide Caffagni, Sara Sarto, Marcella Cornia +5
cs.CVcs.AIcs.CLarXiv:2512.15885v12025
Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants
Vincent Huang, Dami Choi, Daniel D. Johnson +2
cs.AIcs.CLcs.LGarXiv:2512.15712v12025
Building Better Activation Oracles
Jan Bauer, Celeste De Schamphelaere, Adam Karvonen +2
cs.LGcs.AIarXiv:2606.02609v22026
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
Adam Karvonen, James Chua, Clément Dumas +8
cs.CLcs.AIcs.LGarXiv:2512.15674v22025
Generating Images Part by Part with Composite Generative Adversarial Networks
Hanock Kwak, Byoung-Tak Zhang
cs.AIcs.CVcs.LGarXiv:1607.05387v22016
Fun-ASR Technical Report
Keyu An, Yanni Chen, Zhigao Chen +35
cs.CLcs.AIcs.SDarXiv:2509.12508v42025
Interscript: A dataset for interactive learning of scripts through error feedback
Niket Tandon, Aman Madaan, Peter Clark +2
cs.AIarXiv:2112.07867v22021
Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer
cs.LGcs.AIcs.NEarXiv:2507.14172v22025
Rethinking On-Policy Self-Distillation for Thinking Models
Simran Kaur, Narutatsu Ri, Yinghui He +2
cs.AIcs.LGarXiv:2607.05184v12026
SubtleMemory: A Benchmark for Fine-Grained Relational Memory Discrimination in Long-Horizon AI Agents
Wenxuan Wang, Haoyu Sun, Fukuan Hou +4
cs.AIcs.CLarXiv:2606.05761v22026
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning
Haoqiang Kang, Xiaokang Ye, Yuhan Liu +5
cs.AIarXiv:2605.09423v22026
The Amazing Agent Race: Strong Tool Users, Weak Navigators
Zae Myung Kim, Dongseok Lee, Jaehyung Kim +2
cs.AIcs.CLcs.LGarXiv:2604.10261v22026
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Łukasz Borchmann, Jordy Van Landeghem, Michał Turski +12
cs.CLcs.AIarXiv:2603.12180v22026
VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction
Jiarong Liang, Max Ku, Ka-Hei Hui +2
cs.CVcs.AIarXiv:2602.13294v32026
Autonomous Agents on Blockchains: Standards, Execution Models, and Trust Boundaries
Saad Alqithami
cs.AIcs.MAarXiv:2601.04583v12026
Artificial Intelligence Index Report 2025
Nestor Maslej, Loredana Fattorini, Raymond Perrault +20
cs.AIarXiv:2504.07139v32025
Generative AI Act II: Test Time Scaling Drives Cognition Engineering
Shijie Xia, Yiwei Qin, Xuefeng Li +11
cs.CLcs.AIarXiv:2504.13828v32025
Contrastive Instruction Tuning
Tianyi Lorena Yan, Fei Wang, James Y. Huang +5
cs.CLcs.AIcs.LGarXiv:2402.11138v22024
Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale
Ram Ramrakhya, Eric Undersander, Dhruv Batra +1
cs.AIcs.CVcs.ROarXiv:2204.03514v22022
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Xiang Chen, Ningyu Zhang, Lei Li +6
cs.CLcs.AIcs.CVarXiv:2205.02357v52022
MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse
Zhenyu Pan, Han Liu
cs.CVcs.AIarXiv:2503.18470v22025
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun +4
cs.LGcs.AIarXiv:2206.03208v22022
Comprehending and Ordering Semantics for Image Captioning
Yehao Li, Yingwei Pan, Ting Yao +1
cs.CVcs.AIcs.CLarXiv:2206.06930v12022
Can large language models reason about medical questions?
Valentin Liévin, Christoffer Egeberg Hother, Andreas Geert Motzfeldt +1
cs.CLcs.AIcs.LGarXiv:2207.08143v42022
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
Yirong Zeng, Xiao Ding, Yuxian Wang +8
cs.CLcs.AIcs.LGarXiv:2501.09766v52025
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan, Yixin Liu, Guodong Long +3
cs.LGcs.AIcs.DCarXiv:2211.13009v12022
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
Song Lai, Haohan Zhao, Rong Feng +9
cs.LGcs.AIcs.CLarXiv:2507.05386v62025
Learning Performance-Improving Code Edits
Alexander Shypula, Aman Madaan, Yimeng Zeng +7
cs.SEcs.AIcs.LGarXiv:2302.07867v52023
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Yang Chen, Hexiang Hu, Yi Luan +4
cs.CVcs.AIcs.CLarXiv:2302.11713v52023
Learning by Distilling Context
Charlie Snell, Dan Klein, Ruiqi Zhong
cs.CLcs.AIarXiv:2209.15189v12022
GPT-4 Technical Report
OpenAI, Josh Achiam, Steven Adler +278
cs.CLcs.AIarXiv:2303.08774v62023
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Renrui Zhang, Jiaming Han, Chris Liu +7
cs.CVcs.AIcs.CLarXiv:2303.16199v32023
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
Peng Gao, Jiaming Han, Renrui Zhang +9
cs.CVcs.AIcs.CLarXiv:2304.15010v12023
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
Zilun Zhang, Tiancheng Zhao, Yulong Guo +1
cs.CVcs.AIcs.CLarXiv:2306.11300v52023
Matching Patients to Clinical Trials with Large Language Models
Qiao Jin, Zifeng Wang, Charalampos S. Floudas +7
cs.CLcs.AIarXiv:2307.15051v52023
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Yangsibo Huang, Samyak Gupta, Mengzhou Xia +2
cs.CLcs.AIcs.CRarXiv:2310.06987v12023
Linear Representations of Sentiment in Large Language Models
Curt Tigges, Oskar John Hollinsworth, Atticus Geiger +1
cs.LGcs.AIcs.CLarXiv:2310.15154v12023
Gibbs Sampling with People
Peter M. C. Harrison, Raja Marjieh, Federico Adolfi +5
q-bio.NCcs.AIcs.CVarXiv:2008.02595v22020
Large Language Models for Robotics: A Survey
Fanlong Zeng, Wensheng Gan, Zezheng Huai +5
cs.ROcs.AIarXiv:2311.07226v22023
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
Rohit Girdhar, Mannat Singh, Andrew Brown +7
cs.CVcs.AIcs.GRarXiv:2311.10709v22023
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
Qifan Yu, Juncheng Li, Longhui Wei +6
cs.CVcs.AIarXiv:2311.13614v22023
The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment
Mike Perkins, Leon Furze, Jasper Roe +1
cs.AIarXiv:2312.07086v22023
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
Matthew Dahl, Varun Magesh, Mirac Suzgun +1
cs.CLcs.AIcs.CYarXiv:2401.01301v22024
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Shulin Zeng, Jun Liu, Guohao Dai +14
cs.ARcs.AIarXiv:2401.03868v22024
One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders
Minghao Luo, Liang Chen
cs.CLcs.AIarXiv:2606.13610v22026
SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories
Zhuoyun Yu, Xin Xie, Wuguannan Yao +4
cs.CLcs.AIcs.LGarXiv:2606.01311v12026
Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode
Josef Chen
cs.ARcs.AIcs.DCarXiv:2605.30571v12026

Artificial Intelligence

Linear attention is (maybe) all you need (to understand transformer optimization)

HABERTOR: An Efficient and Effective Deep Hatespeech Detector

Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models

LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training

Agentic Knowledgeable Self-awareness

UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces

Finding Generalizable Evidence by Learning to Convince Q&A Models

Keyword search is all you need: Achieving RAG-Level Performance without vector databases using agentic tool use

Plan-over-Graph: Towards Parallelable LLM Agent Schedule

The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis

Diving Deep into Modes of Fact Hallucinations in Dialogue Systems

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching

Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models

Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants

Building Better Activation Oracles

Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers

Generating Images Part by Part with Composite Generative Adversarial Networks

Fun-ASR Technical Report

Interscript: A dataset for interactive learning of scripts through error feedback

Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI

Rethinking On-Policy Self-Distillation for Thinking Models

SubtleMemory: A Benchmark for Fine-Grained Relational Memory Discrimination in Long-Horizon AI Agents

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning

The Amazing Agent Race: Strong Tool Users, Weak Navigators

Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections

VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction

Autonomous Agents on Blockchains: Standards, Execution Models, and Trust Boundaries

Artificial Intelligence Index Report 2025

Generative AI Act II: Test Time Scaling Drives Cognition Engineering

Contrastive Instruction Tuning

Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse

From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation

Comprehending and Ordering Semantics for Image Captioning

Can large language models reason about medical questions?

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training

Learning Performance-Improving Code Edits

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Learning by Distilling Context

GPT-4 Technical Report

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing

Matching Patients to Clinical Trials with Large Language Models

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

Linear Representations of Sentiment in Large Language Models

Gibbs Sampling with People

Large Language Models for Robotics: A Survey

Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data

The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs

One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders

SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories

Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode