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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17,941 to 18,000 of 27,964

Development and Feasibility Evaluation of an Edge AI as Medical Device System for Breast Cancer Multidisciplinary Team Meetings
Aarzoo Dhiman, Farzana Haque, Kartikae Grover +2
cs.AIcs.LGarXiv:2608.22108v12026
Large Language Models Often Know When They Are Being Evaluated
Joe Needham, Giles Edkins, Govind Pimpale +2
cs.CLcs.AIarXiv:2505.23836v32025
Grounding Without Corrective Control: Truth-Tracking Profiles for Large Language Models
Brett Reynolds
cs.AIcs.CLarXiv:2608.14252v12026
ENPIRE: Agentic Robot Policy Self-Improvement in the Real World
Wenli Xiao, Jia Xie, Tonghe Zhang +14
cs.AIarXiv:2606.19980v12026
RAISED: Self-Distillation for Robustness to Prompt Injection in LLM Agents
Mohamed Dhouib, Clement Elliker, Alexi Canesse +5
cs.CRcs.AIcs.CLarXiv:2610.06401v12026
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang, Nan Song, Guosheng Lin +3
cs.CVcs.AIcs.LGarXiv:2104.03047v12021
PEEL: Physics-Enabled Evidential Learning for Identifiable Uncertainty in CT Imaging
Ge Wang
cs.AIphysics.med-pharXiv:2609.29599v12026
Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
Gongbo Zhang, Wen Wang, Ye Tian +1
cs.CLcs.AIcs.LGarXiv:2604.26951v12026
StarCoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi +64
cs.CLcs.AIcs.PLarXiv:2305.06161v22023
AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control
Jialong Li, Xuxin Cheng, Tianshu Huang +3
cs.ROcs.AIcs.LGarXiv:2505.03738v12025
Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics
Leheng Sheng, Wenchang Ma, Ruixin Hong +3
cs.AIcs.LGarXiv:2602.10885v12026
Teacher-Student Curriculum Learning
Tambet Matiisen, Avital Oliver, Taco Cohen +1
cs.LGcs.AIarXiv:1707.00183v22017
Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals
Federico Torrielli, Peter Schneider-Kamp, Lukas Galke Poech
cs.CLcs.AIarXiv:2605.26045v22026
AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
Ke Yang, Yao Liu, Sapana Chaudhary +4
cs.AIcs.CLarXiv:2410.13825v22024
OmniCam: Omni-Camera Trajectory Generation via Geometry-Grounded Pose Token Learning
Zhenyang Liu, Chenjie Cao, Yisu Zhang +5
cs.CVcs.AIarXiv:2610.09513v12026
WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics
Chenxu Liu, Yingjie Fu, Wei Yang +2
cs.SEcs.AIarXiv:2601.02430v32026
Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection
Renato Vukovic, Hsien-chin Lin, Carel van Niekerk +5
cs.CLcs.AIcs.IRarXiv:2609.05025v12026
CATCH: Counterfactual Anatomical Tissue Inpainting with Conditional Haar Diffusion
Simon Winther Albertsen, Hjalte Bjoernstrup, Said Djafar Said +1
cs.CVcs.AIarXiv:2609.29591v12026
Active Budget Can Kill Sensitivity: Diagnosing and Repairing TopK Sparse Autoencoder Reliability
Zhenting Huang, Bo Jiang, Junnan Liu +2
cs.AIarXiv:2609.37857v22026
Beyond Entropy: Correctness-Aware Advantage Shaping via Contrastive Policy Optimization
Weiwen Xu, Jia Liu, Hou Pong Chan +4
cs.LGcs.AIcs.CLarXiv:2607.14614v12026
Model-Based Runtime Monitoring with Interactive Imitation Learning
Huihan Liu, Shivin Dass, Roberto Martín-Martín +1
cs.ROcs.AIcs.LGarXiv:2310.17552v12023
How is ChatGPT's behavior changing over time?
Lingjiao Chen, Matei Zaharia, James Zou
cs.CLcs.AIcs.LGarXiv:2307.09009v32023
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal, Dhruv Mahajan, Abhinav Gupta +1
cs.CVcs.AIcs.LGarXiv:1905.01235v22019
Can LLMs Reliably Annotate Bioassay Metadata to Improve Data Readiness?
Laura van Weesep, Riccardo Tedoldi, Jens Sjölund +6
cs.CLcs.AIcs.DBarXiv:2610.01616v12026
When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning
Daehwan Kim, Haejun Chung, Ikbeom Jang
cs.LGcs.AIarXiv:2606.19827v12026
KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
Hongling Xu, Qi Zhu, Heyuan Deng +6
cs.LGcs.AIcs.CLarXiv:2506.02208v12025
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui, Dong Huk Park, Daylen Yang +3
cs.CVcs.AIcs.CLarXiv:1606.01847v32016
ClawGym II: Exploring Black-Box RL on Agent Harness
Huatong Song, Fei Bai, Ming Yang +17
cs.CLcs.AIcs.LGarXiv:2608.16798v12026
Challenges and Solutions for Bandits in the Wild: Warm-Started Mixture Bandits for Cross-Cohort Slate Recommendation
Serafima Lebedeva, Sumantrak Mukherjee, Ali Arshad Sadal +8
cs.LGcs.AIarXiv:2609.37800v12026
How a Chatbot's Response Style Shapes a Classroom: A Multi-Agent Simulation of Students Consulting AI
Rin Tamai, Yuya Dan
cs.HCcs.AIcs.CYarXiv:2609.05018v12026
Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement
Haoyang Yan, Min-le Su, Hangfan Zhang +6
cs.AIarXiv:2609.01481v12026
RecEvolve: A Knowledge-Driven Autonomous Agent System for Recommender Systems
Weidi Pan, He Ma, Shuhao Ye +6
cs.IRcs.AIcs.LGarXiv:2609.01622v12026
DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation
Hao Zheng, Guozhao Mo, Xinru Yan +7
cs.AIarXiv:2602.22839v32026
Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models
Vineet Jain, Kusha Sareen, Mohammad Pedramfar +1
cs.LGcs.AIstat.MLarXiv:2506.20701v12025
Aligning Language Models from User Interactions
Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor +3
cs.CLcs.AIcs.LGarXiv:2603.12273v12026
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan
cs.LGcs.AIcs.CVarXiv:1711.00848v32017
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction
Dongmin Shin, Yugeun Shim, Hangyeol Yu +3
cs.CYcs.AIcs.LGarXiv:2010.12042v22020
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
Adam Thelen, Xiaoge Zhang, Olga Fink +7
cs.CEcs.AIcs.LGarXiv:2208.14197v22022
Polite Dialogue Generation Without Parallel Data
Tong Niu, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1805.03162v12018
BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation
Max Van Puyvelde, Ibrahim Gulluk, Wim Van Criekinge +1
cs.AIcs.CVcs.LGarXiv:2606.19651v22026
Bangla Sentence Function Classification: Corpus Development, Model Benchmarking, and Interpretability
Swapnil Kundu Argha, Abdullah Al Shafi, Rowzatul Zannat +4
cs.CLcs.AIcs.LGarXiv:2609.13869v12026
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Renrui Zhang, Dongzhi Jiang, Yichi Zhang +8
cs.CVcs.AIcs.CLarXiv:2403.14624v22024
gradSim: Differentiable simulation for system identification and visuomotor control
Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo +11
cs.CVcs.AIcs.LGarXiv:2104.02646v12021
Agent Inheritance Protocol: Speculating on Feralized Agents After Principals Die
Botao Amber Hu, Fangting
cs.CYcs.AIcs.HCarXiv:2608.15403v12026
UniCAR-RL: Seeing Better before Thinking Deeper in Visual Mathematics
Yuzhe Li, Hao Yan, Hao Wang +6
cs.AIarXiv:2609.13849v12026
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
Ziwen Xu, Chenyan Wu, Hengyu Sun +9
cs.CLcs.AIcs.CVarXiv:2602.02343v32026
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Giannis Daras, Kulin Shah, Yuval Dagan +3
cs.LGcs.AIcs.CVarXiv:2305.19256v12023
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
Davide Caffagni, Federico Cocchi, Nicholas Moratelli +4
cs.CVcs.AIcs.CLarXiv:2404.15406v22024
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Arnav Singhvi, Manish Shetty, Shangyin Tan +4
cs.CLcs.AIcs.PLarXiv:2312.13382v22023
The Second Conversational Intelligence Challenge (ConvAI2)
Emily Dinan, Varvara Logacheva, Valentin Malykh +14
cs.AIcs.CLcs.HCarXiv:1902.00098v12019
Learning programs by learning from failures
Andrew Cropper, Rolf Morel
cs.AIcs.LGarXiv:2005.02259v32020
Rewriting Pre-Training Data Boosts LLM Performance in Math and Code
Kazuki Fujii, Yukito Tajima, Sakae Mizuki +13
cs.LGcs.AIarXiv:2505.02881v32025
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

Artificial Intelligence

Development and Feasibility Evaluation of an Edge AI as Medical Device System for Breast Cancer Multidisciplinary Team Meetings

Large Language Models Often Know When They Are Being Evaluated

Grounding Without Corrective Control: Truth-Tracking Profiles for Large Language Models

ENPIRE: Agentic Robot Policy Self-Improvement in the Real World

RAISED: Self-Distillation for Robustness to Prompt Injection in LLM Agents

Few-Shot Incremental Learning with Continually Evolved Classifiers

PEEL: Physics-Enabled Evidential Learning for Identifiable Uncertainty in CT Imaging

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models

StarCoder: may the source be with you!

AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control

Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics

Teacher-Student Curriculum Learning

Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents

OmniCam: Omni-Camera Trajectory Generation via Geometry-Grounded Pose Token Learning

WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics

Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection

CATCH: Counterfactual Anatomical Tissue Inpainting with Conditional Haar Diffusion

Active Budget Can Kill Sensitivity: Diagnosing and Repairing TopK Sparse Autoencoder Reliability

Beyond Entropy: Correctness-Aware Advantage Shaping via Contrastive Policy Optimization

Model-Based Runtime Monitoring with Interactive Imitation Learning

How is ChatGPT's behavior changing over time?

Scaling and Benchmarking Self-Supervised Visual Representation Learning

Can LLMs Reliably Annotate Bioassay Metadata to Improve Data Readiness?

When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning

KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

ClawGym II: Exploring Black-Box RL on Agent Harness

Challenges and Solutions for Bandits in the Wild: Warm-Started Mixture Bandits for Cross-Cohort Slate Recommendation

How a Chatbot's Response Style Shapes a Classroom: A Multi-Agent Simulation of Students Consulting AI

Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement

RecEvolve: A Knowledge-Driven Autonomous Agent System for Recommender Systems

DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation

Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models

Aligning Language Models from User Interactions

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

SAINT+: Integrating Temporal Features for EdNet Correctness Prediction

A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies

Polite Dialogue Generation Without Parallel Data

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation

Bangla Sentence Function Classification: Corpus Development, Model Benchmarking, and Interpretability

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

gradSim: Differentiable simulation for system identification and visuomotor control

Agent Inheritance Protocol: Speculating on Feralized Agents After Principals Die

UniCAR-RL: Seeing Better before Thinking Deeper in Visual Mathematics

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics

Ambient Diffusion: Learning Clean Distributions from Corrupted Data

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

The Second Conversational Intelligence Challenge (ConvAI2)

Learning programs by learning from failures

Rewriting Pre-Training Data Boosts LLM Performance in Math and Code

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