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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21,421 to 21,480 of 27,542

Correlation-Guided Fast Machine Unlearning via Hessian Analysis
Ayushi Thakur, Ruchir Gupta, Amit Kumar Jaiswal +1
cs.LGcs.AIarXiv:2609.12620v12026
Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Tong Liu, Yingjie Zhang, Zhe Zhao +3
cs.CRcs.AIarXiv:2402.18104v22024
The Pitfalls of Simplicity Bias in Neural Networks
Harshay Shah, Kaustav Tamuly, Aditi Raghunathan +2
cs.LGcs.AIstat.MLarXiv:2006.07710v22020
A CNN-RNN Architecture for Multi-Label Weather Recognition
Bin Zhao, Xuelong Li, Xiaoqiang Lu +1
cs.CVcs.AIarXiv:1904.10709v12019
Agent models: Internalizing Chain-of-Action Generation into Reasoning models
Yuxiang Zhang, Yuqi Yang, Jiangming Shu +2
cs.AIarXiv:2503.06580v12025
A Meta-Heuristic Load Balancer for Cloud Computing Systems
Leszek Sliwko, Vladimir Getov
cs.DCcs.AIarXiv:2511.11721v22025
PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training
Cong Chen, Mingyu Liu, Chenchen Jing +5
cs.CVcs.AIarXiv:2503.06486v12025
DiMOS: Doob-Guided Inference-Time Multi-Objective Search for Scientific Design
Ziqing Wang, Qijie Zhu, Weimin Wu +4
cs.AIarXiv:2610.05808v12026
Stratified Rule-Aware Network for Abstract Visual Reasoning
Sheng Hu, Yuqing Ma, Xianglong Liu +2
cs.CVcs.AIcs.LGarXiv:2002.06838v32020
Can We Read the Mind of an Audio LLM? A Verbalizable, Multilingual Middle-Layer Workspace
Jiajun Fan, Jingyuan Li, Prashanth Gurunath Shivakumar +8
cs.SDcs.AIcs.CLarXiv:2608.24958v12026
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee, Michael Laskin, Aravind Srinivas +1
cs.LGcs.AIstat.MLarXiv:2007.04938v42020
LLM-Assisted Generation of Transparent, Open-Source Multiphysics Models of Electrochemical Devices
Sebastian Castro, Maya F. Schuchert, Spencer A. McCluskey +2
physics.chem-phcs.AIphysics.comp-pharXiv:2610.10320v12026
OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code
Maxence Faldor, Jenny Zhang, Antoine Cully +1
cs.AIarXiv:2405.15568v32024
AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping
Sunghwan Kim, Ryang Heo, Yongsik Seo +2
cs.IRcs.AIarXiv:2602.12315v12026
Player-Centered AI for Automatic Game Personalization: Open Problems
Jichen Zhu, Santiago Ontañón
cs.AIcs.HCarXiv:2102.07548v12021
SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning
Caijun Xu, Changyi Xiao, Zhongyuan Peng +2
cs.AIarXiv:2601.04809v52026
LoRA Learns Less and Forgets Less
Dan Biderman, Jacob Portes, Jose Javier Gonzalez Ortiz +9
cs.LGcs.AIcs.CLarXiv:2405.09673v22024
Experience-Guided Adaptation of Inference-Time Reasoning Strategies
Adam Stein, Matthew Trager, Benjamin Bowman +4
cs.AIcs.LGarXiv:2511.11519v12025
Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising
Jun Guo, Qiwei Li, Peiyan Li +7
cs.ROcs.AIcs.CVarXiv:2604.26694v22026
Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
Jaemoo Choi, Yuchen Zhu, Wei Guo +6
cs.LGcs.AIarXiv:2602.04663v22026
AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
Salim Khazem
cs.CVcs.AIcs.LGarXiv:2603.14706v12026
ReCast: Contract-Preserving Protection for Fixed-Interface Multimodal Reasoning
Bingchen Pei, Lichong Chen, Bingxi Zhao +8
cs.CRcs.AIcs.CLarXiv:2610.01184v12026
Do Time-Series QA Systems Read the Time Series? Evidence Use and Reasoning Reliability
Zhuomin Chen, Jingchao Ni, Xu Zheng +4
cs.AIarXiv:2610.05686v12026
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation
Stephen James, Andrew J. Davison
cs.ROcs.AIcs.CVarXiv:2105.14829v22021
Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning
Hyunjin Kim, Youngeun Nam, Jaemin Han +2
cs.LGcs.AIarXiv:2609.12584v12026
SEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays
Sonal Kumar, Sinan Hersek, Artem Dementyev +6
cs.SDcs.AIarXiv:2610.05610v22026
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation
Leigang Qu, Shengqiong Wu, Hao Fei +2
cs.CVcs.AIarXiv:2308.05095v22023
BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds
Huayi Wang, Zirui Wang, Junli Ren +4
cs.ROcs.AIcs.LGarXiv:2502.10363v32025
HygieneRoboBench: Benchmarking Hygiene-Aware Planning for Household Robots
Yurun Chen, Josh Qixuan Sun, Jason Qin +4
cs.ROcs.AIarXiv:2610.08642v12026
Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation
Team Kandinsky, Julia Agafonova, Bulat Akhmatov +85
cs.CVcs.AIcs.LGarXiv:2610.05608v12026
EcomBench: Towards Holistic Evaluation of Foundation Agents in E-commerce
Rui Min, Zile Qiao, Ze Xu +18
cs.AIarXiv:2512.08868v22025
Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language Models
Ashwin Nedungadi, Stefan Oehmcke, Stefan Lüdtke
cs.AIcs.CVarXiv:2608.30751v22026
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Laria Reynolds, Kyle McDonell
cs.CLcs.AIarXiv:2102.07350v12021
Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks
Safa Hamreras, Sukhbinder Singh, Román Orús
cs.LGcs.AIquant-pharXiv:2505.20132v22025
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
Hao Tang, Darren Key, Kevin Ellis
cs.AIcs.CLarXiv:2402.12275v32024
Appearance Pointers -- Multimodal Region Control of Diffusion Transformers
Rahul Sajnani, Yulia Gryaditskaya, Radomír Měch +2
cs.CVcs.AIcs.GRarXiv:2607.19344v12026
An Application of Deep Reinforcement Learning to Algorithmic Trading
Thibaut Théate, Damien Ernst
q-fin.TRcs.AIcs.LGarXiv:2004.06627v32020
Building the Web for Agents: A Declarative Framework for Agent-Web Interaction
Sven Schultze, Meike Verena Kietzmann, Nils-Lucas Schönfeld +1
cs.HCcs.AIcs.CLarXiv:2511.11287v12025
A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?
Qiyuan Zhang, Fuyuan Lyu, Zexu Sun +10
cs.CLcs.AIarXiv:2503.24235v32025
RegMix: Data Mixture as Regression for Language Model Pre-training
Qian Liu, Xiaosen Zheng, Niklas Muennighoff +5
cs.CLcs.AIarXiv:2407.01492v22024
CAT-GS: Balanced Multimodal Learning via Calibrated Gating and Fusion Surgery
Mahir Shahriar Tamim, Sharjil Khan, Md. Samiul Alim +3
cs.LGcs.AIarXiv:2608.24947v12026
TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning
Heming Zou, Qi Wang, Yun Qu +9
cs.LGcs.AIcs.CLarXiv:2606.11119v12026
Human-Like Attention? A Psychophysical Comparison of Visual Search in Humans and MLLMs
Renchi Zhang, Joost C. F. de Winter, Dimitra Dodou +2
cs.HCcs.AIcs.CVarXiv:2610.05463v12026
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills
Jianlyu Chen, Yuyang Hu, Hongjin Qian +8
cs.AIcs.CLarXiv:2609.02749v12026
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu +5
cs.CLcs.AIarXiv:2312.01552v12023
Beyond Vector Similarity: Hierarchical Context-Aware Graph RAG vs Standard RAG in Enterprise Code Migration
Nilesh Jaiswal, Aniket Agrawal, Arjit Shukla +4
cs.AIarXiv:2609.12464v12026
Linear Exponential Quadratic Gaussian Covariance Steering
Chiran B. Cherian, Yasemin Isik, Abhishek Halder
math.OCcs.AIcs.LGarXiv:2609.12463v12026
ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research
Wanghan Xu, Shuo Li, Tianlin Ye +48
cs.LGcs.AIcs.CLarXiv:2606.07591v52026
ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT
Huseyin Umut Isik, Mehmet Alp Ozaydin, Sila Kurugol +1
cs.CVcs.AIarXiv:2608.28455v12026
Disagree to Explore, Agree to Commit: Routing-Guided Test-Time Scaling for Software Agents
Kang Chen, Junjie Nian, Yixin Cao +1
cs.AIcs.SEarXiv:2608.22191v12026
EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning
Weiyuan Li, Aili Chen, Xintao Wang +11
cs.AIarXiv:2609.12459v12026
From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable Agent Systems
Qiaomu Li, Ying Xie
cs.MAcs.AIcs.LGarXiv:2505.03864v12025
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi, Zihao Xu, Hengyi Wang +6
cs.LGcs.AIcs.CLarXiv:2404.16789v32024
MemTrial: Learning When to Trust Memory in LLM Portfolio Agents
Guanghao Wu, Zhuo Cai, Shoujin Wang
cs.AIarXiv:2610.11732v12026
Sum of Us: Strategyproof Selection from the Selectors
Noga Alon, Felix Fischer, Ariel D. Procaccia +1
cs.GTcs.AIarXiv:0910.4699v12009
FML-bench: Benchmarking Machine Learning Agents for Scientific Research
Qiran Zou, Hou Hei Lam, Wenhao Zhao +7
cs.CLcs.AIarXiv:2510.10472v22025
URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
Zoey Chen, Aaron Walsman, Marius Memmel +6
cs.ROcs.AIarXiv:2405.11656v32024
ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation
Zheng Fang, Dongming Jin, Yihong dong +4
cs.SEcs.AIarXiv:2607.00711v22026
Explainability for Large Language Models: A Survey
Haiyan Zhao, Hanjie Chen, Fan Yang +6
cs.CLcs.AIcs.LGarXiv:2309.01029v32023
PromptResponse: Optimizing Prompts for LLM Coding Tasks
Erik Thureck, Robert Kühnen, Tim Jacobowitz
cs.CLcs.AIcs.HCarXiv:2608.21074v12026

Artificial Intelligence

Correlation-Guided Fast Machine Unlearning via Hessian Analysis

Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction

The Pitfalls of Simplicity Bias in Neural Networks

A CNN-RNN Architecture for Multi-Label Weather Recognition

Agent models: Internalizing Chain-of-Action Generation into Reasoning models

A Meta-Heuristic Load Balancer for Cloud Computing Systems

PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training

DiMOS: Doob-Guided Inference-Time Multi-Objective Search for Scientific Design

Stratified Rule-Aware Network for Abstract Visual Reasoning

Can We Read the Mind of an Audio LLM? A Verbalizable, Multilingual Middle-Layer Workspace

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

LLM-Assisted Generation of Transparent, Open-Source Multiphysics Models of Electrochemical Devices

OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code

AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping

Player-Centered AI for Automatic Game Personalization: Open Problems

SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning

LoRA Learns Less and Forgets Less

Experience-Guided Adaptation of Inference-Time Reasoning Strategies

Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising

Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design

AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers

ReCast: Contract-Preserving Protection for Fixed-Interface Multimodal Reasoning

Do Time-Series QA Systems Read the Time Series? Evidence Use and Reasoning Reliability

Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation

Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning

SEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays

LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation

BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds

HygieneRoboBench: Benchmarking Hygiene-Aware Planning for Household Robots

Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation

EcomBench: Towards Holistic Evaluation of Foundation Agents in E-commerce

Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language Models

Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks

WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers

An Application of Deep Reinforcement Learning to Algorithmic Trading

Building the Web for Agents: A Declarative Framework for Agent-Web Interaction

A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

RegMix: Data Mixture as Regression for Language Model Pre-training

CAT-GS: Balanced Multimodal Learning via Calibrated Gating and Fusion Surgery

TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning

Human-Like Attention? A Psychophysical Comparison of Visual Search in Humans and MLLMs

Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning

Beyond Vector Similarity: Hierarchical Context-Aware Graph RAG vs Standard RAG in Enterprise Code Migration

Linear Exponential Quadratic Gaussian Covariance Steering

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research

ARC-CT: Anatomy-Routed Contrastive Vision-Language Learning for 3D Chest CT

Disagree to Explore, Agree to Commit: Routing-Guided Test-Time Scaling for Software Agents

EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning

From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable Agent Systems

Continual Learning of Large Language Models: A Comprehensive Survey

MemTrial: Learning When to Trust Memory in LLM Portfolio Agents

Sum of Us: Strategyproof Selection from the Selectors

FML-bench: Benchmarking Machine Learning Agents for Scientific Research

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images

ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation

Explainability for Large Language Models: A Survey

PromptResponse: Optimizing Prompts for LLM Coding Tasks