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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22,381 to 22,440 of 27,492

PailitaoGR: Latent Think-with-Images for Generative Image Retrieval
Xiaomeng Fan, Yueran Liu, Shengyu Zhou +6
cs.CVcs.AIcs.IRarXiv:2608.26658v12026
MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers
Chaithanya Bandi, Razvan-Gabriel Dumitru, Ben Hertzberg +20
cs.SEcs.AIarXiv:2602.00933v32026
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
Zixiang Chen, Huizhuo Yuan, Yongqian Li +3
cs.LGcs.AIstat.MLarXiv:2312.09193v32023
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad +2
cs.CLcs.AIarXiv:2106.06823v12021
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
Sara Babakniya, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin +4
cs.LGcs.AIarXiv:2308.06522v12023
Ultralytics YOLO Evolution: An Overview of YOLO26, YOLO11, YOLOv8 and YOLOv5 Object Detectors for Computer Vision and Pattern Recognition
Ranjan Sapkota, Manoj Karkee
cs.CVcs.AIarXiv:2510.09653v32025
SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models
Chung-En Ho, Weiyu Sun, Cheng-Jhih Shih +3
cs.AIcs.CLcs.LGarXiv:2610.04875v22026
UTP-Bench: Uncertainty-aware Travel Planning Benchmark
Etcharla Revanth Rao, Priyanshu Karmakar, Shubhojit Mallick +3
cs.AIcs.CLarXiv:2609.02421v12026
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang +5
cs.IRcs.AIarXiv:2105.04785v12021
WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities
Ziyi Zeng, Zhenyang Cai, Yixi Cai +8
eess.SPcs.AIcs.CLarXiv:2510.00032v12025
Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning
Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng +2
cs.CLcs.AIarXiv:2312.08901v32023
Masking Teacher and Reinforcing Student for Distilling Vision-Language Models
Byung-Kwan Lee, Yu-Chiang Frank Wang, Ryo Hachiuma
cs.LGcs.AIcs.CVarXiv:2512.22238v12025
Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum
Zhuoning Guo, Mingxin Li, Yanzhao Zhang +3
cs.CVcs.AIcs.CLarXiv:2510.27571v12025
TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting
Mohamad Alkadamani, Halim Yanikomeroglu
eess.SYcs.AIcs.LGarXiv:2609.06636v12026
Epistemic Observability in Language Models
Tony Mason, Vaastav Anand
cs.DCcs.AIcs.CLarXiv:2603.20531v22026
Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
Yuqiao Tan, Minzheng Wang, Shizhu He +6
cs.LGcs.AIcs.CLarXiv:2512.19673v32025
Thought without systematicity? Evaluating reasoning models on rule induction tasks
Simon Schug, Brenden M. Lake
cs.CLcs.AIcs.LGarXiv:2609.13948v12026
Proprioception-Anchored Cross-Modal Pretraining for Zero-Shot Sim-to-Real Contact-Rich Assembly
Yuhan Wang, Yurou Chen, Hongye Jiang +2
cs.ROcs.AIarXiv:2609.07534v32026
OpenMTB-Audit: Exposing Over-Refusal and Clinical Expert Perspectives in LLM-Based Molecular Tumor Board Safety Evaluation
Negin Ashrafi, Jia Luo, Stacey M. Frumm +1
cs.AIcs.LGarXiv:2610.01497v12026
Auditing Routing Entropy as an Uncertainty Signal in Attention-Residual Transformers
Wenhao Liang, Lin Yue, Wei Emma Zhang +3
cs.AIarXiv:2610.01495v12026
LESS: Selecting Influential Data for Targeted Instruction Tuning
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan +2
cs.CLcs.AIcs.LGarXiv:2402.04333v32024
OPE: Overcoming Information Saturation in Parallel Thinking via Outline-Guided Path Exploration
Qi Guo, Jianing Wang, Deyang Kong +7
cs.AIarXiv:2602.08344v12026
Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data
Jing Wei, Sungdong Kim, Hyunhoon Jung +1
cs.HCcs.AIcs.CLarXiv:2301.05843v22023
DISCO: Diversifying Sample Condensation for Efficient Model Evaluation
Alexander Rubinstein, Benjamin Raible, Martin Gubri +1
cs.LGcs.AIarXiv:2510.07959v22025
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu, Tianyu Ding, Jinxin Zhou +4
cs.LGcs.AIcs.ITarXiv:2105.02375v12021
Deep Reinforcement Learning for De-Novo Drug Design
Mariya Popova, Olexandr Isayev, Alexander Tropsha
cs.AIcs.LGstat.MLarXiv:1711.10907v22017
A Behavior-Guided Online Probabilistic Forecasting Method for Electric vehicle Charging Loads
Chenghan Li, Qingxiang Liu, Yinliang Xu +1
cs.AIarXiv:2608.24441v12026
MAP: Evaluation and Multi-Agent Enhancement of Large Language Models for Inpatient Pathways
Zhen Chen, Zhihao Peng, Xusheng Liang +5
cs.AIcs.CLcs.CVarXiv:2503.13205v12025
ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use
Mengjie Deng, Guanting Dong, Zhicheng Dou
cs.AIarXiv:2510.27363v12025
Explicit State Elicitation Is Not Enough: A Controlled Audit of Memory-Policy Classification
Yihang Chen, Pin Qian, Su Wang +4
cs.AIarXiv:2608.17247v12026
Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data
Grzegorz Stefanski, Alberto Presta, Michal Byra
cs.AIcs.CVcs.LGarXiv:2601.22141v12026
Evaluating Sakana's AI Scientist: Bold Claims, Mixed Results, and a Promising Future?
Joeran Beel, Min-Yen Kan, Moritz Baumgart
cs.IRcs.AIcs.LGarXiv:2502.14297v32025
Filter, Then Reweight: Rethinking Optimization Granularity in On-Policy Distillation
Yuying Li, Leqi Zheng, Yongzi Yu +6
cs.LGcs.AIcs.CLarXiv:2606.02684v22026
The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption
Sales G. Aribe, Louie Jay S. Labastida
cs.SEcs.AIcs.ETarXiv:2609.09560v12026
Evidence for Shared Routing Geometry and Dynamics in Sparse Mixture-of-Experts
Kirill Labzin, Stepan Kulibaba, Artem Dzhalilov +1
cs.LGcs.AIarXiv:2609.02404v12026
Learning the Cost of Reliable Inference
Dimitrios Rontogiannis, Ander Artola Velasco, Manuel Gomez Rodriguez
cs.AIcs.GTcs.LGarXiv:2609.28322v22026
DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
Zhihong Shao, Yuxiang Luo, Chengda Lu +6
cs.AIcs.CLarXiv:2511.22570v12025
Transformers in Healthcare: A Survey
Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang +9
cs.AIcs.CYcs.LGarXiv:2307.00067v12023
Generative Models: What Do They Know? Do They Know Things? Let's Find Out!
Xiaodan Du, Nicholas Kolkin, Greg Shakhnarovich +1
cs.CVcs.AIcs.GRarXiv:2311.17137v32023
Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents
Asaf Yehudai, Lilach Eden, Michal Shmueli-Scheuer
cs.CLcs.AIarXiv:2605.22608v12026
Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
Zixuan Hu, Li Shen, Zhenyi Wang +2
cs.LGcs.AIarXiv:2510.27172v12025
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
Shuai Shao, Qihan Ren, Chen Qian +8
cs.AIcs.CLcs.LGarXiv:2509.26354v22025
EdiTikZ: Scientific Figure Editing from Revision Trajectories
Christian Greisinger, Zhixue Zhao, Steffen Eger
cs.AIcs.CLcs.CVarXiv:2609.01409v12026
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler, Dan Alistarh, Tal Ben-Nun +2
cs.LGcs.AIcs.ARarXiv:2102.00554v12021
DemoFusion: Democratising High-Resolution Image Generation With No $$$
Ruoyi Du, Dongliang Chang, Timothy Hospedales +2
cs.CVcs.AIcs.LGarXiv:2311.16973v22023
Human Behavior-Informed Crash Scenario Generation with Real-World Crash Priors for Autonomous Vehicle Safety Evaluation
Mingxing Peng, Xusen Guo, Long Chen +3
cs.ROcs.AIarXiv:2610.04366v12026
OPDSearch+: On-Policy Distillation with RL Refinement for Search-Augmented Reasoning
Qinglin Ye, Zhiyuan Gu, Jingjie Xia +6
cs.AIarXiv:2608.24310v12026
Training Plug-n-Play Knowledge Modules with Deep Context Distillation
Lucas Caccia, Alan Ansell, Edoardo Ponti +2
cs.LGcs.AIarXiv:2503.08727v42025
Optimal Value of Information in Graphical Models
Andreas Krause, Carlos Guestrin
cs.AIarXiv:1401.3474v12014
GPT-4 Technical Report
OpenAI, Josh Achiam, Steven Adler +278
cs.CLcs.AIarXiv:2303.08774v62023
A Deterministic and Auditable AI Security Risk Assessment Framework with ATLAS Aligned Executable Rules and Formal Verification
Yixuan Huang, Basel Halak, Boojoong Kang
cs.AIarXiv:2610.01436v12026
Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
Yunho Choi, Jongwon Lim, Woojin Ahn +3
cs.LGcs.AIcs.CLarXiv:2605.07579v22026
LevelSyn: Physical-Aware Logic Synthesis via Level-Asynchronous Graph Neural Networks
Jingyi Zhou, Zhengyuan Shi, Ziyang Zheng +1
cs.ARcs.AIcs.LGarXiv:2609.03594v12026
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Paul Röttger, Hannah Rose Kirk, Bertie Vidgen +3
cs.CLcs.AIarXiv:2308.01263v32023
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking
Yi Tay, Anh Tuan Luu, Siu Cheung Hui
cs.AIcs.IRarXiv:1707.05176v32017
Safeguarding LLMs via Model-Agnostic Latent Safety Signals from Dark Knowledge
Wonjun Lee, Kyungsik Yang, Gaeun Ji +5
cs.CRcs.AIcs.CLarXiv:2610.07532v12026
iGRPO: Self-Feedback-Driven LLM Reasoning
Ali Hatamizadeh, Shrimai Prabhumoye, Igor Gitman +5
cs.AIarXiv:2602.09000v12026
Parser-Free VLM Verification for Federated Weakly Supervised Video Anomaly Detection
Sébastien Thuau, Amira Gran, Siba Haidar +1
cs.CVcs.AIcs.LGarXiv:2609.07455v12026
TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning
Avik Bhatnagar, Federico Nicolas Peccia, Oliver Bringmann
cs.LGcs.AIcs.ARarXiv:2609.07444v12026
Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling
Arman Adibi, Alireza Jafari, Mohammad Ghavamzadeh +1
cs.LGcs.AIstat.AParXiv:2609.08981v12026

Artificial Intelligence

PailitaoGR: Latent Think-with-Images for Generative Image Retrieval

MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers

Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Prompting Contrastive Explanations for Commonsense Reasoning Tasks

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Ultralytics YOLO Evolution: An Overview of YOLO26, YOLO11, YOLOv8 and YOLOv5 Object Detectors for Computer Vision and Pattern Recognition

SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models

UTP-Bench: Uncertainty-aware Travel Planning Benchmark

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users

WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities

Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning

Masking Teacher and Reinforcing Student for Distilling Vision-Language Models

Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum

TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting

Epistemic Observability in Language Models

Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies

Thought without systematicity? Evaluating reasoning models on rule induction tasks

Proprioception-Anchored Cross-Modal Pretraining for Zero-Shot Sim-to-Real Contact-Rich Assembly

OpenMTB-Audit: Exposing Over-Refusal and Clinical Expert Perspectives in LLM-Based Molecular Tumor Board Safety Evaluation

Auditing Routing Entropy as an Uncertainty Signal in Attention-Residual Transformers

LESS: Selecting Influential Data for Targeted Instruction Tuning

OPE: Overcoming Information Saturation in Parallel Thinking via Outline-Guided Path Exploration

Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data

DISCO: Diversifying Sample Condensation for Efficient Model Evaluation

A Geometric Analysis of Neural Collapse with Unconstrained Features

Deep Reinforcement Learning for De-Novo Drug Design

A Behavior-Guided Online Probabilistic Forecasting Method for Electric vehicle Charging Loads

MAP: Evaluation and Multi-Agent Enhancement of Large Language Models for Inpatient Pathways

ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use

Explicit State Elicitation Is Not Enough: A Controlled Audit of Memory-Policy Classification

Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data

Evaluating Sakana's AI Scientist: Bold Claims, Mixed Results, and a Promising Future?

Filter, Then Reweight: Rethinking Optimization Granularity in On-Policy Distillation

The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption

Evidence for Shared Routing Geometry and Dynamics in Sparse Mixture-of-Experts

Learning the Cost of Reliable Inference

DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning

Transformers in Healthcare: A Survey

Generative Models: What Do They Know? Do They Know Things? Let's Find Out!

Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents

Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler

Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents

EdiTikZ: Scientific Figure Editing from Revision Trajectories

Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

DemoFusion: Democratising High-Resolution Image Generation With No $$$

Human Behavior-Informed Crash Scenario Generation with Real-World Crash Priors for Autonomous Vehicle Safety Evaluation

OPDSearch+: On-Policy Distillation with RL Refinement for Search-Augmented Reasoning

Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Optimal Value of Information in Graphical Models

GPT-4 Technical Report

A Deterministic and Auditable AI Security Risk Assessment Framework with ATLAS Aligned Executable Rules and Formal Verification

Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States

LevelSyn: Physical-Aware Logic Synthesis via Level-Asynchronous Graph Neural Networks

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

Safeguarding LLMs via Model-Agnostic Latent Safety Signals from Dark Knowledge

iGRPO: Self-Feedback-Driven LLM Reasoning

Parser-Free VLM Verification for Federated Weakly Supervised Video Anomaly Detection

TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning

Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling