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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17,461 to 17,520 of 27,533

Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents
Mantas Lukauskas, Viktorija Šarkauskaitė
cs.CYcs.AIcs.CLarXiv:2608.14606v12026
Language Models are Open Knowledge Graphs
Chenguang Wang, Xiao Liu, Dawn Song
cs.CLcs.AIcs.LGarXiv:2010.11967v12020
Agentic Neural Architecture Search
Seokhoon Jeong, Mijung Kim, Taehwan Kim
cs.AIarXiv:2607.07984v12026
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges
Jenny T. Liang, Chenyang Yang, Brad A. Myers
cs.SEcs.AIcs.HCarXiv:2303.17125v22023
Theory of Mind for Multi-Agent Collaboration via Large Language Models
Huao Li, Yu Quan Chong, Simon Stepputtis +4
cs.CLcs.AIarXiv:2310.10701v32023
Bugs in Large Language Models Generated Code: An Empirical Study
Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam +3
cs.SEcs.AIarXiv:2403.08937v22024
EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning
Chuanrui Hu, Xingze Gao, Zuyi Zhou +8
cs.AIcs.CLarXiv:2601.02163v22026
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
Leheng Sheng, Yongtao Zhang, Wenchang Ma +6
cs.CLcs.AIarXiv:2602.10560v12026
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
Yubin Kim, Chanwoo Park, Hyewon Jeong +7
cs.CLcs.AIcs.LGarXiv:2404.15155v32024
WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models
Xinping Lei, Xinyu Che, Junqi Xiong +16
cs.SEcs.AIarXiv:2604.18224v12026
StepOPSD: Step-Aware Online Preference Self-Distillation for Agent Reinforcement Learning
Yanfei Zhang, Xu Lin, Chenglin Wu
cs.AIarXiv:2605.27140v22026
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Yangning Li, Weizhi Zhang, Yuyao Yang +17
cs.CLcs.AIarXiv:2507.09477v22025
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
Zhiwei Liu, Yongjun Chen, Jia Li +3
cs.IRcs.AIarXiv:2108.06479v12021
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann, Naman Deep Singh, Francesco Croce +1
cs.LGcs.AIcs.CVarXiv:2402.12336v22024
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson +1
cs.SDcs.AIcs.LGarXiv:1502.04149v42015
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
Diji Yang, Linda Zeng, Jinmeng Rao +1
cs.AIcs.CLcs.IRarXiv:2505.02811v22025
Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders
Zhongzhi Li, Xuansheng Wu, Yijiang Li +2
cs.CLcs.AIarXiv:2602.10388v42026
TDDN: Text-aligned Diffused DINO Network for Puzzle Understanding
Harsha Patnala, Debopriyo Banerjee, Ayush Sunil Munot +1
cs.CVcs.AIarXiv:2609.07937v12026
PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents
Bihui Yu, Xinglong Xu, Junjie Jiang +6
cs.AIcs.SEarXiv:2605.10341v12026
ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
Fariza Rashid, Duc Van Le, Rahat Masood +3
cs.LGcs.AIarXiv:2609.37632v12026
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Harshit Joshi, José Cambronero, Sumit Gulwani +3
cs.SEcs.AIcs.PLarXiv:2208.11640v32022
SAREF-based Ontology for Distributed AI Workflows across the Edge-Fog-Cloud Continuum
Viorica Rozina Chifu, Tudor Cioara, Vasile Ofrim +4
cs.AIarXiv:2608.26160v12026
Fake News Detection on Social Media: A Data Mining Perspective
Kai Shu, Amy Sliva, Suhang Wang +2
cs.SIcs.AIarXiv:1708.01967v32017
Towards Explainable Deep Neural Networks (xDNN)
Plamen Angelov, Eduardo Soares
cs.LGcs.AIcs.CVarXiv:1912.02523v12019
A Dataset for Answering Time-Sensitive Questions
Wenhu Chen, Xinyi Wang, William Yang Wang
cs.CLcs.AIarXiv:2108.06314v52021
Enhancing Object Detection with Privileged Information: A Model-Agnostic Teacher-Student Approach
Matthias Bartolo, Dylan Seychell, Gabriel Hili +4
cs.CVcs.AIcs.ETarXiv:2601.02016v12026
SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting
Binbin Zheng, Xing Ma, Yiheng Liang +6
cs.LGcs.AIcs.CLarXiv:2604.10688v22026
Reevaluating Adversarial Examples in Natural Language
John X. Morris, Eli Lifland, Jack Lanchantin +2
cs.CLcs.AIcs.CRarXiv:2004.14174v32020
El Agente: An Autonomous Agent for Quantum Chemistry
Yunheng Zou, Austin H. Cheng, Abdulrahman Aldossary +13
cs.AIcs.LGcs.MAarXiv:2505.02484v22025
StrokeGuard: A Multi-Agent Guided System for Prehospital Stroke Assessment
Wentao Yang, Zhenye Xu, Ruoyi Li +2
cs.HCcs.AIcs.MAarXiv:2608.24555v12026
Can LLMs Introspect? A Reality Check
Shashwat Singh, Tal Linzen, Shauli Ravfogel
cs.AIarXiv:2605.26242v12026
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian, Viktoriia Korchemna
cs.DScs.AIarXiv:2602.10253v12026
Unlocking Multimodal Protein Language Models at Inference Time
Yi Zhou, Qipeng Wang, Yunqing Liu +3
cs.CEcs.AIarXiv:2608.25855v12026
ChatGPT: The End of Online Exam Integrity?
Teo Susnjak
cs.AIcs.CLarXiv:2212.09292v12022
Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
Langlin Huang, Chengsong Huang, Jinyuan Li +3
cs.AIcs.CLcs.LGarXiv:2605.05566v12026
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
DeepSeek-AI, Anyi Xu, Bangcai Lin +316
cs.CLcs.AIarXiv:2606.19348v12026
Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents
Zonghan Yang, Shengjie Wang, Kelin Fu +18
cs.AIcs.CLcs.SEarXiv:2509.23045v32025
AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders
Georgii Aparin, Tasnima Sadekova, Alexey Rukhovich +5
cs.SDcs.AIarXiv:2602.05027v22026
Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning
Saeed Shariati, Mohsen Alambardar Meybodi
cs.LGcs.AIcs.CRarXiv:2609.09659v12026
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
Yu Zeng, Wenxuan Huang, Zhen Fang +14
cs.CVcs.AIcs.CLarXiv:2602.02185v22026
Auto-Regressive Surface Cutting
Yang Li, Victor Cheung, Xinhai Liu +8
cs.GRcs.AIcs.CVarXiv:2506.18017v12025
Transfiver: Human-AI Co-Inference through a Shared Editable State
Minji Park, Seunghyun Yoon, Hyuk Lim
cs.AIcs.CLcs.HCarXiv:2609.03797v12026
Multi-Agent Discovery and Resource-Aware Autonomous Exploration of Scientific Datasets
Aashish Panta, Hugo Lee, Giorgio Scorzelli +2
cs.HCcs.AIarXiv:2608.22045v12026
InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis
Oliver Bentham, Vivek Srikumar
cs.CLcs.AIarXiv:2604.13201v22026
Enabling Creative Exploration for Vibe Design Agents
Yifan Zhang, Nghi D. Q. Bui, Georgios Evangelopoulos +1
cs.AIarXiv:2609.15078v12026
Reinforcement Learning via Self-Distillation
Jonas Hübotter, Frederike Lübeck, Lejs Behric +8
cs.LGcs.AIarXiv:2601.20802v22026
Software Engineering for AI-driven Building Operation
Philipp Zech, Sascha Hammes, Johannes Weninger +2
cs.SEcs.AIarXiv:2608.16237v12026
Valdi: Value Diffusion World Models
Christopher Lindenberg, Kashyap Chitta
cs.LGcs.AIarXiv:2607.00917v12026
InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information
Jiaze Li, Aocheng Shen, Bing Liu +4
cs.SEcs.AIcs.CLarXiv:2608.29632v12026
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Jules White, Quchen Fu, Sam Hays +6
cs.SEcs.AIarXiv:2302.11382v12023
AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
Max Ku, Cong Wei, Weiming Ren +2
cs.CVcs.AIcs.MMarXiv:2403.14468v42024
Knowledge Graph Reasoning with Relational Digraph
Yongqi Zhang, Quanming Yao
cs.AIcs.CLarXiv:2108.06040v22021
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
Peng Liao, Kristjan Greenewald, Predrag Klasnja +1
cs.LGcs.AIarXiv:1909.03539v12019
On a Formal Model of Safe and Scalable Self-driving Cars
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
cs.ROcs.AIstat.MLarXiv:1708.06374v62017
From Learner Behavior to Reusable Skills for Effective and Efficient Learner Simulation
Zijian Chen, Zheng Zhang, Miao Jia +3
cs.AIarXiv:2609.37157v12026
The Anatomy of the Moltbook Social Graph
David Holtz
cs.SIcs.AIcs.CYarXiv:2602.10131v12026
SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling
Jiefeng Chen, Jie Ren, Xinyun Chen +4
cs.AIcs.CLarXiv:2501.19306v52025
A Responsible Artificial Intelligence Framework for Groundwater Modeling
Chong Chen, Yulu Zhang, Qingxi Guo +1
cs.AIarXiv:2608.15657v12026
Reputation-based Incentive Protocols in Crowdsourcing Applications
Yu Zhang, Mihaela van der Schaar
cs.AIcs.GTcs.SIarXiv:1108.2096v12011
LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
Junxiao Yang, Haoran Liu, Jinzhe Tu +9
cs.LGcs.AIcs.CLarXiv:2604.12710v22026

Artificial Intelligence

Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents

Language Models are Open Knowledge Graphs

Agentic Neural Architecture Search

A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges

Theory of Mind for Multi-Agent Collaboration via Large Language Models

Bugs in Large Language Models Generated Code: An Empirical Study

EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning

When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning

MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making

WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models

StepOPSD: Step-Aware Online Preference Self-Distillation for Agent Reinforcement Learning

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation

Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders

TDDN: Text-aligned Diffused DINO Network for Puzzle Understanding

PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents

ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation

Repair Is Nearly Generation: Multilingual Program Repair with LLMs

SAREF-based Ontology for Distributed AI Workflows across the Edge-Fog-Cloud Continuum

Fake News Detection on Social Media: A Data Mining Perspective

Towards Explainable Deep Neural Networks (xDNN)

A Dataset for Answering Time-Sensitive Questions

Enhancing Object Detection with Privileged Information: A Model-Agnostic Teacher-Student Approach

SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting

Reevaluating Adversarial Examples in Natural Language

El Agente: An Autonomous Agent for Quantum Chemistry

StrokeGuard: A Multi-Agent Guided System for Prehospital Stroke Assessment

Can LLMs Introspect? A Reality Check

The Complexity of Bayesian Network Learning: Revisiting the Superstructure

Unlocking Multimodal Protein Language Models at Inference Time

ChatGPT: The End of Online Exam Integrity?

Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration

DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents

AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders

Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models

Auto-Regressive Surface Cutting

Transfiver: Human-AI Co-Inference through a Shared Editable State

Multi-Agent Discovery and Resource-Aware Autonomous Exploration of Scientific Datasets

InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis

Enabling Creative Exploration for Vibe Design Agents

Reinforcement Learning via Self-Distillation

Software Engineering for AI-driven Building Operation

Valdi: Value Diffusion World Models

InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks

Knowledge Graph Reasoning with Relational Digraph

Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity

On a Formal Model of Safe and Scalable Self-driving Cars

From Learner Behavior to Reusable Skills for Effective and Efficient Learner Simulation

The Anatomy of the Moltbook Social Graph

SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling

A Responsible Artificial Intelligence Framework for Groundwater Modeling

Reputation-based Incentive Protocols in Crowdsourcing Applications

LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety