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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16,441 to 16,500 of 28,147

COMIC: Reference-Aware Safety Gating for Multimodal Large Language Models
Md Abdullahil Oaphy, Anhao Xiang, Zongxing Xie +3
cs.CRcs.AIarXiv:2608.17234v12026
Entailment as Few-Shot Learner
Sinong Wang, Han Fang, Madian Khabsa +2
cs.CLcs.AIarXiv:2104.14690v12021
Combating Adversarial Attacks with Multi-Agent Debate
Steffi Chern, Zhen Fan, Andy Liu
cs.CLcs.AIarXiv:2401.05998v12024
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Hanjia Lyu, Song Jiang, Hanqing Zeng +7
cs.CLcs.AIcs.IRarXiv:2307.15780v32023
A Survey on Popularity Bias in Recommender Systems
Anastasiia Klimashevskaia, Dietmar Jannach, Mehdi Elahi +1
cs.IRcs.AIcs.LGarXiv:2308.01118v32023
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
Bartosz Cywiński, Kamil Deja
cs.LGcs.AIarXiv:2501.18052v32025
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
Salvatore Cuomo, Vincenzo Schiano di Cola, Fabio Giampaolo +3
cs.LGcs.AImath.NAarXiv:2201.05624v42022
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art
Yi Wang, Syed Muhammad Arsalan Bashir, Mahrukh Khan +5
cs.CVcs.AIcs.LGarXiv:2111.03260v12021
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
Qitian Wu, Wentao Zhao, Zenan Li +2
cs.LGcs.AIarXiv:2306.08385v12023
On the Impact of AGENTS.md Files on the Efficiency of AI Coding Agents
Jai Lal Lulla, Seyedmoein Mohsenimofidi, Matthias Galster +3
cs.SEcs.AIcs.ETarXiv:2601.20404v22026
Large Language Model Sentinel: LLM Agent for Adversarial Purification
Guang Lin, Toshihisa Tanaka, Qibin Zhao
cs.CLcs.AIcs.CRarXiv:2405.20770v42024
PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety
Zaibin Zhang, Yongting Zhang, Lijun Li +6
cs.CLcs.AIcs.CRarXiv:2401.11880v32024
SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
Bo Liu, Leon Guertler, Simon Yu +9
cs.AIcs.CLcs.LGarXiv:2506.24119v32025
The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents
Feiran Jia, Tong Wu, Xin Qin +1
cs.CRcs.AIcs.CLarXiv:2412.16682v12024
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
Gaurav Verma, Rachneet Kaur, Nishan Srishankar +3
cs.AIcs.CLcs.LGarXiv:2411.13451v12024
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang, Xu Chen
cs.IRcs.AIcs.MMarXiv:1804.11192v102018
Random Projections for $k$-means Clustering
Christos Boutsidis, Anastasios Zouzias, Petros Drineas
cs.AIcs.DSarXiv:1011.4632v12010
Solving Hard XAI Queries Based on a Compiled Dual-Rail Encoding
Arthur Ledaguenel, Florent Capelli, Jean-Marie Lagniez
cs.AIcs.CCarXiv:2609.04931v12026
From Deceptive Outputs to Deceptive Mechanisms: A Causal Framework for Language-Model Deception Research
Yakov Pyotr Shkolnikov
cs.AIarXiv:2609.04166v12026
No Detectable Change in Side-Level WER from Prompt-Level Context: A Preregistered Ablation on a Production Oral-History Corpus
Theodore O. Cochran, Stephanie Dodson, Keith Nore
cs.CLcs.AIcs.SDarXiv:2608.28875v12026
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum +4
cs.LGcs.AIstat.MLarXiv:2305.11854v42023
B-Pref: Benchmarking Preference-Based Reinforcement Learning
Kimin Lee, Laura Smith, Anca Dragan +1
cs.LGcs.AIcs.HCarXiv:2111.03026v12021
Temporal Knowledge Graph Completion using Box Embeddings
Johannes Messner, Ralph Abboud, İsmail İlkan Ceylan
cs.LGcs.AIarXiv:2109.08970v12021
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions
Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez +3
cs.CRcs.AIarXiv:2012.06810v12020
How Does Information Bottleneck Help Deep Learning?
Kenji Kawaguchi, Zhun Deng, Xu Ji +1
cs.LGcs.AIcs.CLarXiv:2305.18887v12023
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
Juyi Lin, Amir Taherin, Arash Akbari +11
cs.CVcs.AIcs.ROarXiv:2507.05116v52025
Model Organisms for Emergent Misalignment
Edward Turner, Anna Soligo, Mia Taylor +2
cs.LGcs.AIarXiv:2506.11613v12025
Domain Generalization using Causal Matching
Divyat Mahajan, Shruti Tople, Amit Sharma
cs.LGcs.AIstat.MLarXiv:2006.07500v32020
From Semantic to Token Communication: The Next Paradigm for Large-Model-Driven 6G Intelligent Connectivity
Yu Ma, Zhen Gao, Li Qiao +11
eess.SPcs.AIcs.CVarXiv:2609.10714v12026
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
Haoran Xu, Li Jiang, Jianxiong Li +4
cs.LGcs.AIarXiv:2303.15810v12023
Highway and Residual Networks learn Unrolled Iterative Estimation
Klaus Greff, Rupesh K. Srivastava, Jürgen Schmidhuber
cs.NEcs.AIcs.LGarXiv:1612.07771v32016
TestAgent: Automatic Benchmarking and Exploratory Interaction for Evaluating LLMs in Vertical Domains
Wanying Wang, Zeyu Ma, Xuhong Wang +3
cs.AIcs.CLarXiv:2410.11507v52024
Initialization Improves LLM-Driven Discovery
Mansi Sakarvadia, Marco Ciccone, Colin Raffel
cs.LGcs.AIcs.CLarXiv:2610.00707v12026
Human-in-the-Loop Imitation Learning using Remote Teleoperation
Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín +3
cs.ROcs.AIcs.LGarXiv:2012.06733v12020
A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges
Zongxia Li, Xiyang Wu, Hongyang Du +3
cs.CVcs.AIcs.CLarXiv:2501.02189v72025
OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use
Xueyu Hu, Tao Xiong, Biao Yi +26
cs.AIcs.CLcs.CVarXiv:2508.04482v12025
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
Guoli Yin, Haoping Bai, Shuang Ma +21
cs.AIarXiv:2407.18961v32024
Segment anything, from space?
Simiao Ren, Francesco Luzi, Saad Lahrichi +4
cs.CVcs.AIeess.IVarXiv:2304.13000v42023
Hypothesis Generation with Large Language Models
Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava +2
cs.AIcs.CLcs.CYarXiv:2404.04326v32024
MASPRM: Multi-Agent System Process Reward Model
Milad Yazdani, Mahdi Mostajabdaveh, Zirui Zhou +1
cs.MAcs.AIarXiv:2510.24803v32025
Textbooks Are All You Need
Suriya Gunasekar, Yi Zhang, Jyoti Aneja +16
cs.CLcs.AIcs.LGarXiv:2306.11644v22023
Aligning Vision to Language: Annotation-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning
Junming Liu, Siyuan Meng, Yanting Gao +7
cs.CVcs.AIarXiv:2503.12972v32025
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents
Kaiqing Zhang, Zhuoran Yang, Han Liu +2
cs.LGcs.AIcs.MAarXiv:1812.02783v82018
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
Mingyuan Zhou, Huangjie Zheng, Zhendong Wang +2
cs.LGcs.AIcs.CVarXiv:2404.04057v32024
From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents
Niu Lian, Yuting Wang, Hanshu Yao +5
cs.CVcs.AIcs.CLarXiv:2603.01455v32026
Reward-Oracle MCTS for Formal Theorem Proving: Sample-Efficient Search and the Need for Kernel-Level Proof Auditing
Bodla Krishna Vamshi, Haizhao Yang
cs.AIcs.LGcs.LOarXiv:2608.28639v12026
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models
Yingkai Dong, Xiangtao Meng, Ning Yu +2
cs.CRcs.AIcs.LGarXiv:2408.00523v32024
AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
Yixin Ou, Yujie Luo, Jingsheng Zheng +9
cs.CLcs.AIcs.HCarXiv:2506.10974v32025
WIPI: A New Web Threat for LLM-Driven Web Agents
Fangzhou Wu, Shutong Wu, Yulong Cao +1
cs.CRcs.AIarXiv:2402.16965v12024
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
Md. Rezaul Karim, Michael Cochez, Joao Bosco Jares +3
cs.LGcs.AIarXiv:1908.01288v12019
Matryoshka Multimodal Models
Mu Cai, Jianwei Yang, Jianfeng Gao +1
cs.CVcs.AIcs.CLarXiv:2405.17430v22024
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Corby Rosset, Ching-An Cheng, Arindam Mitra +3
cs.LGcs.AIcs.CLarXiv:2404.03715v12024
OMNI: Open-endedness via Models of human Notions of Interestingness
Jenny Zhang, Joel Lehman, Kenneth Stanley +1
cs.AIcs.LGarXiv:2306.01711v32023
Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation
Chenxing Wei, Hong Wang, Ying He +4
cs.AIcs.LGarXiv:2603.01375v12026
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Noah Hollmann, Samuel Müller, Frank Hutter
cs.AIcs.LGarXiv:2305.03403v52023
MI9: An Integrated Runtime Governance Framework for Agentic AI
Charles L. Wang, Trisha Singhal, Ameya Kelkar +1
cs.AIcs.ETcs.MAarXiv:2508.03858v42025
When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents
Zongwei Wang, Bincheng Gu, Hongyu Yu +5
cs.AIcs.CYarXiv:2601.00240v22026
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
cs.LGcs.AIcs.NEarXiv:1910.04098v22019
SCOPE: Selective Conformal Optimized Pairwise LLM Judging
Sher Badshah, Ali Emami, Hassan Sajjad
cs.CLcs.AIarXiv:2602.13110v42026
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior
Vaishakh Patil, Christos Sakaridis, Alexander Liniger +1
cs.CVcs.AIcs.LGarXiv:2204.02091v12022

Artificial Intelligence

COMIC: Reference-Aware Safety Gating for Multimodal Large Language Models

Entailment as Few-Shot Learner

Combating Adversarial Attacks with Multi-Agent Debate

LLM-Rec: Personalized Recommendation via Prompting Large Language Models

A Survey on Popularity Bias in Recommender Systems

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next

Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification

On the Impact of AGENTS.md Files on the Efficiency of AI Coding Agents

Large Language Model Sentinel: LLM Agent for Adversarial Purification

PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning

The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

Explainable Recommendation: A Survey and New Perspectives

Random Projections for $k$-means Clustering

Solving Hard XAI Queries Based on a Compiled Dual-Rail Encoding

From Deceptive Outputs to Deceptive Mechanisms: A Causal Framework for Language-Model Deception Research

No Detectable Change in Side-Level WER from Prompt-Level Context: A Preregistered Ablation on a Production Oral-History Corpus

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

B-Pref: Benchmarking Preference-Based Reinforcement Learning

Temporal Knowledge Graph Completion using Box Embeddings

Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions

How Does Information Bottleneck Help Deep Learning?

VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting

Model Organisms for Emergent Misalignment

Domain Generalization using Causal Matching

From Semantic to Token Communication: The Next Paradigm for Large-Model-Driven 6G Intelligent Connectivity

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Highway and Residual Networks learn Unrolled Iterative Estimation

TestAgent: Automatic Benchmarking and Exploratory Interaction for Evaluating LLMs in Vertical Domains

Initialization Improves LLM-Driven Discovery

Human-in-the-Loop Imitation Learning using Remote Teleoperation

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains

Segment anything, from space?

Hypothesis Generation with Large Language Models

MASPRM: Multi-Agent System Process Reward Model

Textbooks Are All You Need

Aligning Vision to Language: Annotation-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning

Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents

Reward-Oracle MCTS for Formal Theorem Proving: Sample-Efficient Search and the Need for Kernel-Level Proof Auditing

Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

AutoMind: Adaptive Knowledgeable Agent for Automated Data Science

WIPI: A New Web Threat for LLM-Driven Web Agents

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

Matryoshka Multimodal Models

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

OMNI: Open-endedness via Models of human Notions of Interestingness

Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation

Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering

MI9: An Integrated Runtime Governance Framework for Agentic AI

When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents

Improving Generalization in Meta Reinforcement Learning using Learned Objectives

SCOPE: Selective Conformal Optimized Pairwise LLM Judging

P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior