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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19,081 to 19,140 of 27,801

Design Principles for Generative AI Applications
Justin D. Weisz, Jessica He, Michael Muller +3
cs.HCcs.AIarXiv:2401.14484v12024
How Much Rank Does LoRA Need? Rank-Error Bounds for Transformer Attention
Gerard Conangla Planes
cs.LGcs.AIcs.CLarXiv:2608.26052v12026
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Bing Su, Dazhao Du, Zhao Yang +6
cs.LGcs.AIarXiv:2209.05481v12022
Learning where to Attend with Deep Architectures for Image Tracking
Misha Denil, Loris Bazzani, Hugo Larochelle +1
cs.AIarXiv:1109.3737v12011
When Models Edit Too Much: On the Fidelity of Minimal Code Edits
Tongyao Zhu, Wei Hern Lim, Min-Yen Kan
cs.SEcs.AIcs.CLarXiv:2609.04061v12026
Investigating Affective Use and Emotional Well-being on ChatGPT
Jason Phang, Michael Lampe, Lama Ahmad +8
cs.HCcs.AIarXiv:2504.03888v12025
A Computationally Feasible Framework for Causal Probabilistic Explanation
Rafal Urbaniak, Sam Witty, Daniel Waxman +7
cs.AIarXiv:2609.04177v12026
RECAST: Recent & Context-Aware Sampling for Test-Time Adaptation in Streaming Biosignals
Yong-Yeon Jo, Junho Song, Joon-myoung Kwon
cs.AIarXiv:2608.28271v12026
Categorizing Variants of Goodhart's Law
David Manheim, Scott Garrabrant
cs.AIq-fin.GNstat.MLarXiv:1803.04585v42018
SteerDuplex: Steerable Duplex Speech Dialogue Models
Utkarsh Tyagi, Ramaneswaran Selvakumar, Advait Gosai +13
cs.AIcs.CLarXiv:2609.12623v12026
Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty
Jeonghye Kim, Xufang Luo, Minbeom Kim +3
cs.AIcs.LGarXiv:2603.15500v22026
Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs
Doniyorkhon Obidov, Honggang Yu, Xiaolong Guo +1
cs.CRcs.AIcs.CLarXiv:2609.26185v12026
Memory OS of AI Agent
Jiazheng Kang, Mingming Ji, Zhe Zhao +1
cs.AIarXiv:2506.06326v12025
Summaries:한국어
Unified Contrastive Learning in Image-Text-Label Space
Jianwei Yang, Chunyuan Li, Pengchuan Zhang +4
cs.CVcs.AIcs.LGarXiv:2204.03610v12022
PUFFER: Incremental Fuzzy Deduplication for Continuously Evolving Corpora
Xiao Yang, Erik Edward Aldape, Beren Millidge
cs.DBcs.AIarXiv:2608.28622v12026
It's Not What the Image Shows: Irrelevant Context Destabilises VLM Judges Without Informing Them
Nagham Omar, Mahmoud Jabarin, Kinan Ibraheem +1
cs.CLcs.AIcs.CVarXiv:2609.37863v12026
Self-Correcting VLA: Online Action Refinement via Sparse World Imagination
Chenyv Liu, Wentao Tan, Lei Zhu +4
cs.ROcs.AIcs.CVarXiv:2602.21633v12026
Progress measures for grokking via mechanistic interpretability
Neel Nanda, Lawrence Chan, Tom Lieberum +2
cs.LGcs.AIarXiv:2301.05217v32023
MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization
Haina Zhu, Yizhi Zhou, Hangting Chen +6
cs.SDcs.AIcs.CLarXiv:2501.01108v22025
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper, Max Nadeau, Dylan Hadfield-Menell +1
cs.LGcs.AIcs.CVarXiv:2110.03605v72021
A fast PC algorithm for high dimensional causal discovery with multi-core PCs
Thuc Duy Le, Tao Hoang, Jiuyong Li +2
cs.AIarXiv:1502.02454v32015
AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations
Minjun Zhu, Zhen Lin, Yixuan Weng +6
cs.AIcs.CLcs.CVarXiv:2602.03828v22026
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
Yubin Kim, Xuhai Xu, Daniel McDuff +2
cs.CLcs.AIcs.LGarXiv:2401.06866v22024
cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents
Pranjal Aggarwal, Lawrence Keunho Jang, Sean Welleck +3
cs.LGcs.AIcs.CLarXiv:2609.40284v12026
Concepts and Their Dynamics: A Quantum-Theoretic Modeling of Human Thought
Diederik Aerts, Liane Gabora, Sandro Sozzo
cs.AIcs.CLquant-pharXiv:1206.1069v22012
Reliability-Aware Hybrid-K Ensemble Selection for Cervical Cytology Classification: Integrating Discrimination, Calibration, and Selective Prediction
Nisreen Albzour, Sarah S. Lam
eess.IVcs.AIcs.CVarXiv:2609.09189v12026
PAL: Program-aided Language Models
Luyu Gao, Aman Madaan, Shuyan Zhou +5
cs.CLcs.AIarXiv:2211.10435v22022
BioInsight: Multi-Agent Orchestration for Interactive Biomedical Knowledge Discovery
Jieyi Wang, Bingxuan Li, Nanyi Jiang +9
cs.AIarXiv:2606.20997v22026
UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios
Tian Ye, Song Fei, Lei Zhu
cs.CVcs.AIarXiv:2511.18050v12025
A Dual-Transformer for Multi-Camera View Recommendation
Josep Cabacas-Maso, Carles Ventura, Ismael Benito-Altamirano
cs.CVcs.AIarXiv:2608.25601v12026
Situation Awareness for Intelligent Data Distribution in Connected Vehicles
Falk Dettinger, Akshay Narla, Michael Weyrich
cs.ROcs.AIcs.CVarXiv:2609.05521v12026
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang, Tinglin Huang, Dingxian Wang +4
cs.IRcs.AIarXiv:2102.07057v12021
$Q$- and $A$-Learning Methods for Estimating Optimal Dynamic Treatment Regimes
Phillip J. Schulte, Anastasios A. Tsiatis, Eric B. Laber +1
stat.MEcs.AIarXiv:1202.4177v32012
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses
Ryan Lowe, Michael Noseworthy, Iulian V. Serban +3
cs.CLcs.AIcs.LGarXiv:1708.07149v22017
Evaluation Is All You Need for Multi-Modal Autonomous Driving
Zeyu He, Shiqi Liu, Ke Chen +14
cs.ROcs.AIarXiv:2609.30818v12026
Prediction-Powered Data Fusion for Treatment Effect Estimation
Yonghan Jung, Shu Yang
stat.MLcs.AIcs.LGarXiv:2610.12332v12026
Agents That Model Agents: Five Principles Toward a Theory of Mind for 6G Networks
Hatim Chergui, Carolina Fernández-Martínez, Mehdi Bennis +1
cs.NIcs.AIcs.MAarXiv:2609.01779v12026
Policy Gradient for Coherent Risk Measures
Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh +1
cs.AIcs.LGstat.MLarXiv:1502.03919v22015
Spackle: Completing Large View Single Image NVS with Adaptive Gaussians
Xuanzhi Liu, Yuhe Zhou, Xinyi Wu +4
cs.CVcs.AIarXiv:2609.30941v12026
PlaylistEval: Can Video-Language Judges Be Trusted at Day Scale and Beyond?
Shayekh Bin Islam, Hwanjun Song
cs.CVcs.AIcs.CLarXiv:2609.34314v12026
Learning Probabilistic Logic Programs with Functional Gradient Guided Language Models
Saurabh Mathur, Sahil Sidheekh, Bhavan Vasu +4
cs.AIarXiv:2610.12303v12026
Multi-Agent Egocentric World Model with Fine-Grained Embodied Interaction
Dahyun Chung, Siyoon Jin, Hyunwook Choi +5
cs.CVcs.AIarXiv:2610.12299v12026
How to estimate carbon footprint when training deep learning models? A guide and review
Lucia Bouza Heguerte, Aurélie Bugeau, Loïc Lannelongue
cs.LGcs.AIcs.CYarXiv:2306.08323v22023
Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted Escalation
Jasmine Brazilek, Maheep Chaudhary, Zoe Lu +1
cs.MAcs.AIcs.CRarXiv:2607.15434v52026
When and Where to Trust the Teacher: Unifying On-Policy Distillation and GRPO through Entropy-Calibrated Credit Assignment
Jie Zhang, Jingxiao Yang, Zhehao Huang +2
cs.LGcs.AIarXiv:2609.28385v12026
Olmix: A Framework for Data Mixing Throughout LM Development
Mayee F. Chen, Tyler Murray, David Heineman +5
cs.LGcs.AIcs.CLarXiv:2602.12237v12026
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
Kaijie Zhu, Xianjun Yang, Jindong Wang +2
cs.CRcs.AIarXiv:2502.05174v42025
Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
Tiansheng Huang, Sihao Hu, Fatih Ilhan +2
cs.CLcs.AIarXiv:2409.01586v42024
Fidelity-Aware Recommendation Explanations via Stochastic Path Integration
Oren Barkan, Yahlly Schein, Yehonatan Elisha +3
cs.IRcs.AIcs.LGarXiv:2511.18047v12025
Hypothesis-Driven Skill Optimization for LLM Agents
Fangxin Shang, Yehui Yang
cs.AIcs.SEarXiv:2606.22330v12026
Evaluating Exact Output and Checkpoint-State Prediction in Real Programs
Xiaohong Chen, David Bucur, Chenglong Ma +4
cs.SEcs.AIarXiv:2610.11889v12026
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
Hongliang He, Wenlin Yao, Kaixin Ma +5
cs.CLcs.AIarXiv:2401.13919v42024
MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
Hui Chen, Miao Xiong, Yujie Lu +7
cs.LGcs.AIcs.CLarXiv:2505.19955v32025
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
Erik Johannes Husom, Arda Goknil, Merve Astekin +5
cs.CYcs.AIcs.CLarXiv:2504.03360v12025
One Policy, Any Budget: Internalizing Budget-Aware Search via Reinforcement Learning
Xiaowei Sun, Jin Li, Yili Hong +2
cs.AIarXiv:2609.00813v12026
DynaContext: Self-Improving Dynamic Contextualization of Optimized Prompts for Heterogeneous Parameter Extraction
Joe Yu, Shibin Thomas Stanley Paul, Sven Mayer
cs.AIarXiv:2608.22014v12026
Exploring MLLM-Diffusion Information Transfer with MetaCanvas
Han Lin, Xichen Pan, Ziqi Huang +10
cs.CVcs.AIcs.LGarXiv:2512.11464v12025
LAMOL: LAnguage MOdeling for Lifelong Language Learning
Fan-Keng Sun, Cheng-Hao Ho, Hung-Yi Lee
cs.CLcs.AIarXiv:1909.03329v22019
AFRA: Argumentation framework with recursive attacks
Pietro Baroni, Federico Cerutti, Massimiliano Giacomin +1
cs.AIarXiv:1810.04886v12018
La-Ribo: RNA Co-Design via Geometry-Latent Flow Matching
Runze Ma, Will Hua, Shuangjia Zheng
q-bio.BMcs.AIarXiv:2610.12236v12026

Artificial Intelligence

Design Principles for Generative AI Applications

How Much Rank Does LoRA Need? Rank-Error Bounds for Transformer Attention

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

Learning where to Attend with Deep Architectures for Image Tracking

When Models Edit Too Much: On the Fidelity of Minimal Code Edits

Investigating Affective Use and Emotional Well-being on ChatGPT

A Computationally Feasible Framework for Causal Probabilistic Explanation

RECAST: Recent & Context-Aware Sampling for Test-Time Adaptation in Streaming Biosignals

Categorizing Variants of Goodhart's Law

SteerDuplex: Steerable Duplex Speech Dialogue Models

Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty

Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs

Memory OS of AI Agent

Unified Contrastive Learning in Image-Text-Label Space

PUFFER: Incremental Fuzzy Deduplication for Continuously Evolving Corpora

It's Not What the Image Shows: Irrelevant Context Destabilises VLM Judges Without Informing Them

Self-Correcting VLA: Online Action Refinement via Sparse World Imagination

Progress measures for grokking via mechanistic interpretability

MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Robust Feature-Level Adversaries are Interpretability Tools

A fast PC algorithm for high dimensional causal discovery with multi-core PCs

AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents

Concepts and Their Dynamics: A Quantum-Theoretic Modeling of Human Thought

Reliability-Aware Hybrid-K Ensemble Selection for Cervical Cytology Classification: Integrating Discrimination, Calibration, and Selective Prediction

PAL: Program-aided Language Models

BioInsight: Multi-Agent Orchestration for Interactive Biomedical Knowledge Discovery

UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios

A Dual-Transformer for Multi-Camera View Recommendation

Situation Awareness for Intelligent Data Distribution in Connected Vehicles

Learning Intents behind Interactions with Knowledge Graph for Recommendation

$Q$- and $A$-Learning Methods for Estimating Optimal Dynamic Treatment Regimes

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses

Evaluation Is All You Need for Multi-Modal Autonomous Driving

Prediction-Powered Data Fusion for Treatment Effect Estimation

Agents That Model Agents: Five Principles Toward a Theory of Mind for 6G Networks

Policy Gradient for Coherent Risk Measures

Spackle: Completing Large View Single Image NVS with Adaptive Gaussians

PlaylistEval: Can Video-Language Judges Be Trusted at Day Scale and Beyond?

Learning Probabilistic Logic Programs with Functional Gradient Guided Language Models

Multi-Agent Egocentric World Model with Fine-Grained Embodied Interaction

How to estimate carbon footprint when training deep learning models? A guide and review

Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted Escalation

When and Where to Trust the Teacher: Unifying On-Policy Distillation and GRPO through Entropy-Calibrated Credit Assignment

Olmix: A Framework for Data Mixing Throughout LM Development

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents

Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Fidelity-Aware Recommendation Explanations via Stochastic Path Integration

Hypothesis-Driven Skill Optimization for LLM Agents

Evaluating Exact Output and Checkpoint-State Prediction in Real Programs

WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research

Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency

One Policy, Any Budget: Internalizing Budget-Aware Search via Reinforcement Learning

DynaContext: Self-Improving Dynamic Contextualization of Optimized Prompts for Heterogeneous Parameter Extraction

Exploring MLLM-Diffusion Information Transfer with MetaCanvas

LAMOL: LAnguage MOdeling for Lifelong Language Learning

AFRA: Argumentation framework with recursive attacks

La-Ribo: RNA Co-Design via Geometry-Latent Flow Matching