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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19,801 to 19,860 of 27,738

Synthetic Semantic Supervision for Contrastive Code Representation Learning in Small Transformers: An Empirical Study
Kenneth Paulsen, Florian Tambon, Mike Papadakis +1
cs.AIarXiv:2609.03702v12026
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
Mohamad A. Hady, Siyi Hu, Mahardhika Pratama +2
cs.MAcs.AIcs.LGarXiv:2504.21048v12025
Robust Reinforcement Learning for Continuous Control with Model Misspecification
Daniel J. Mankowitz, Nir Levine, Rae Jeong +7
cs.LGcs.AIstat.MLarXiv:1906.07516v22019
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Yi Wu, Nan Jiang, Hung Viet Pham +5
cs.SEcs.AIcs.CRarXiv:2305.18607v22023
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
Yingxu Wang, Siwei Liu, Jinyuan Fang +1
cs.AIarXiv:2507.03616v22025
Learning Better Reasoning for Generative Recommendation with Semantic IDs
Mengdan Zhu, Yufan Zhao, Sophie Di +5
cs.IRcs.AIarXiv:2609.29973v12026
KGATE : a Knowledge Graph Embedding Training Environment
Benjamin Loire, Galadriel Brière, Célia Brahimi +2
cs.LGcs.AIarXiv:2610.09927v12026
Code2Video: A Code-centric Paradigm for Educational Video Generation
Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou
cs.CVcs.AIcs.CLarXiv:2510.01174v12025
Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
Zhichen Dong, Zhanhui Zhou, Chao Yang +2
cs.CLcs.AIcs.CYarXiv:2402.09283v32024
High Fidelity Neural Audio Compression
Alexandre Défossez, Jade Copet, Gabriel Synnaeve +1
eess.AScs.AIcs.SDarXiv:2210.13438v12022
Symmetries and Causality: Causal Effect Identification Beyond IID Data
Martin Rabel, Jakob Runge
math.STcs.AIarXiv:2609.03697v12026
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
DeepSeek-AI, :, Xiao Bi +85
cs.CLcs.AIcs.LGarXiv:2401.02954v12024
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cisse, Piotr Bojanowski, Edouard Grave +2
stat.MLcs.AIcs.CRarXiv:1704.08847v22017
Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan
Ahan Chatterjee, Matthias Schöffel, Matthias Aßenmacher +2
cs.CLcs.AIarXiv:2605.09156v22026
Online Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation Guidance
Donggyu Min, Dong-Kyu Kim
cs.LGcs.AIarXiv:2608.30317v12026
Compiling quantum circuits to realistic hardware architectures using temporal planners
Davide Venturelli, Minh Do, Eleanor Rieffel +1
quant-phcs.AIcs.ETarXiv:1705.08927v22017
Anchored Regularized Direct Least Squares (ARDLS): Integrating Established Prioritization Operators for Priority Elicitation in the Analytic Hierarchy Process
Kevin Kam Fung Yuen
math.OCcs.AImath.NAarXiv:2608.21187v12026
Can LLMs Discover Scientific Laws in Real and Parallel Worlds?
Yiming Huang, Ziche Liu, Zhuohang Wu +11
cs.AIcs.LGarXiv:2609.01552v12026
Deep Reinforcement Learning for Cyber Security
Thanh Thi Nguyen, Vijay Janapa Reddi
cs.CRcs.AIcs.LGarXiv:1906.05799v42019
SimEX: Simulation-Integrated Robotics AutoResearch
Jiaheng Hu, Roberto Martin-Martin, Peter Stone +3
cs.ROcs.AIcs.LGarXiv:2609.38982v12026
Rethinking Thinking Tokens: LLMs as Improvement Operators
Lovish Madaan, Aniket Didolkar, Suchin Gururangan +6
cs.LGcs.AIarXiv:2510.01123v12025
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
Yu Wang, Xiaogeng Liu, Yu Li +2
cs.CRcs.AIarXiv:2403.09513v12024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
Zhangchen Xu, Fengqing Jiang, Luyao Niu +3
cs.CRcs.AIcs.CLarXiv:2402.08983v42024
CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies
Issa Sugiura, Daichi Hattori, Kazuo Araragi +5
cs.AIarXiv:2606.16613v12026
Summaries:한국어
CDRL: Certification-Driven Reinforcement Learning for Neutrino Flavor Model Discovery
Piyush Jha, Jake Rudolph, Victoria Knapp-Pérez +3
cs.AIcs.LGcs.LOarXiv:2608.20686v12026
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong +4
cs.CLcs.AIcs.LGarXiv:1804.09541v12018
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
Dengchun Li, Yingzi Ma, Naizheng Wang +8
cs.CLcs.AIarXiv:2404.15159v32024
Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution
Alessio Devoto, Maximilian Jeblick, Simon Jégou
cs.AIcs.CLarXiv:2510.00636v12025
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training
Shengkun Tang, Zekun Wang, Bo Zheng +7
cs.LGcs.AIcs.CLarXiv:2605.08738v22026
PSA: Pyramid Sparse Attention for Efficient Video Understanding and Generation
Xiaolong Li, Youping Gu, Xi Lin +2
cs.CVcs.AIcs.LGarXiv:2512.04025v12025
A latent dimension of Condorcet's jury theorem for multiple AI advisers
Kazutoshi Sasahara, Aoi Naito, Ryo Fujie
cs.CYcs.AIcs.HCarXiv:2609.14438v22026
Proof-of-Learning: Definitions and Practice
Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo +4
cs.LGcs.AIcs.CRarXiv:2103.05633v12021
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Tianbao Xie, Danyang Zhang, Jixuan Chen +14
cs.AIcs.CLarXiv:2404.07972v22024
Reasoning Instructions Can Break Answer Decoding in Vision--Language Models
Zeyan Li, Siyuan Qiu, Jianfeng Xu
cs.CLcs.AIarXiv:2609.29278v12026
Parsing the Stream: A Live Trace Model for Long-Horizon Agents and Their Observers
Egor Pakhomov, Erik Nijkamp
cs.AIarXiv:2609.01466v12026
Knapsack based Optimal Policies for Budget-Limited Multi-Armed Bandits
Long Tran-Thanh, Archie Chapman, Alex Rogers +1
cs.AIcs.LGarXiv:1204.1909v12012
Beyond Monolithic Architectures: A Multi-Agent Search and Knowledge Optimization Framework for Agentic Search
Yiqun Chen, Lingyong Yan, Zixuan Yang +5
cs.AIarXiv:2601.04703v12026
Continual Pre-training of Language Models
Zixuan Ke, Yijia Shao, Haowei Lin +3
cs.CLcs.AIcs.LGarXiv:2302.03241v42023
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Adam Ibrahim, Benjamin Thérien, Kshitij Gupta +5
cs.LGcs.AIcs.CLarXiv:2403.08763v42024
One Prompt Is Enough: Watermark Laundering Through Foundation Image Models
Jidong Yang, Qi Li, Wei Zong +5
cs.CVcs.AIcs.CRarXiv:2609.01249v12026
Rethinking Reward Models for Multi-Domain Test-Time Scaling
Dong Bok Lee, Seanie Lee, Sangwoo Park +12
cs.AIarXiv:2510.00492v32025
Structured Pose-Conditioned Flow Matching for Generative 5G CSI Augmentation
Haojin Li, Anbang Zhang, Wai Ho Mow +3
eess.SPcs.AIarXiv:2609.29912v12026
How Much Can Reliability Drift Under a Fixed Confidence Distribution?
Wenhao Liang, Lin Yue, Wei Emma Zhang +3
cs.AIarXiv:2609.38917v12026
A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
X. Y. Han, Yuan Zhong
math.OCcs.AIcs.LGarXiv:2512.03915v32025
Implicit Reasoning for Large Language Model-based Generative Recommendation
Yinhan He, Liam Collins, Bhuvesh Kumar +3
cs.CLcs.AIarXiv:2606.14142v32026
The Principles of Deep Learning Theory
Daniel A. Roberts, Sho Yaida, Boris Hanin
cs.LGcs.AIhep-tharXiv:2106.10165v22021
C-Score: Beyond Accuracy for Robustness Assessment in Semi-Supervised Learning under Open-World Unlabeled Contamination
Tsao-Lun Chen, Chi-Cheng Fu, Han-Yi E. Chou +1
cs.LGcs.AIarXiv:2608.20667v12026
Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark
Matthias Blaschke, Daniel Kienzle, Zsuzsanna Koczor-Benda +3
cs.LGcond-mat.mes-hallcs.AIarXiv:2606.30170v12026
Hybrid Self-evolving Structured Memory for GUI Agents
Sibo Zhu, Wenyi Wu, Kun Zhou +2
cs.AIcs.LGarXiv:2603.10291v12026
SceneJail: Exploiting Video Scenario Context to Jailbreak Multimodal LLMs
Wenyu Chen, Li Wang, Chuanchao Zang +5
cs.CRcs.AIcs.LGarXiv:2609.38899v12026
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning
Ziqing Qiao, Yongheng Deng, Jiali Zeng +7
cs.LGcs.AIcs.CLarXiv:2505.04881v22025
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao, Hao Zhou, Lili Mou +2
cs.CLcs.AIcs.LGarXiv:1811.10996v12018
Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
Prabin Kumar Rath, Omkar Patil, Nakul Gopalan
cs.AIcs.ROarXiv:2610.10857v12026
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty +3
cs.LGcs.AIcs.CRarXiv:1805.11090v32018
The Era of Real-World Human Interaction: RL from User Conversations
Chuanyang Jin, Jing Xu, Bo Liu +6
cs.AIcs.CLcs.LGarXiv:2509.25137v12025
Unmerge: Efficient Machine Unlearning via Task Arithmetic
Haoran Tang, Andrew Tan, Rajiv Khanna
cs.LGcs.AIarXiv:2609.38895v12026
Leveraging Inter-object Affordances for Efficient Planning in Contact-rich Tasks
Pouya P. Niaz, Justus Piater, Alejandro Agostini
cs.ROcs.AIarXiv:2608.25641v12026
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Jang-Hyun Kim, Wonho Choo, Hyun Oh Song
cs.LGcs.AIcs.CVarXiv:2009.06962v22020
Calibrating Teacher--Student Discrepancy for On-Policy Distillation
Qiangqiang He, Jin Li, MingCai Chen
cs.AIarXiv:2609.21619v12026
Ask a Language Model for Lottery Numbers: Concentration in Repeated Six-of-49 Outputs
Dmitrij Żatuchin
cs.IRcs.AIcs.CLarXiv:2610.00052v12026

Artificial Intelligence

Synthetic Semantic Supervision for Contrastive Code Representation Learning in Small Transformers: An Empirical Study

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey

Robust Reinforcement Learning for Continuous Control with Model Misspecification

How Effective Are Neural Networks for Fixing Security Vulnerabilities

EvoAgentX: An Automated Framework for Evolving Agentic Workflows

Learning Better Reasoning for Generative Recommendation with Semantic IDs

KGATE : a Knowledge Graph Embedding Training Environment

Code2Video: A Code-centric Paradigm for Educational Video Generation

Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey

High Fidelity Neural Audio Compression

Symmetries and Causality: Causal Effect Identification Beyond IID Data

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Parseval Networks: Improving Robustness to Adversarial Examples

Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan

Online Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation Guidance

Compiling quantum circuits to realistic hardware architectures using temporal planners

Anchored Regularized Direct Least Squares (ARDLS): Integrating Established Prioritization Operators for Priority Elicitation in the Analytic Hierarchy Process

Can LLMs Discover Scientific Laws in Real and Parallel Worlds?

Deep Reinforcement Learning for Cyber Security

SimEX: Simulation-Integrated Robotics AutoResearch

Rethinking Thinking Tokens: LLMs as Improvement Operators

AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies

CDRL: Certification-Driven Reinforcement Learning for Neutrino Flavor Model Discovery

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training

PSA: Pyramid Sparse Attention for Efficient Video Understanding and Generation

A latent dimension of Condorcet's jury theorem for multiple AI advisers

Proof-of-Learning: Definitions and Practice

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Reasoning Instructions Can Break Answer Decoding in Vision--Language Models

Parsing the Stream: A Live Trace Model for Long-Horizon Agents and Their Observers

Knapsack based Optimal Policies for Budget-Limited Multi-Armed Bandits

Beyond Monolithic Architectures: A Multi-Agent Search and Knowledge Optimization Framework for Agentic Search

Continual Pre-training of Language Models

Simple and Scalable Strategies to Continually Pre-train Large Language Models

One Prompt Is Enough: Watermark Laundering Through Foundation Image Models

Rethinking Reward Models for Multi-Domain Test-Time Scaling

Structured Pose-Conditioned Flow Matching for Generative 5G CSI Augmentation

How Much Can Reliability Drift Under a Fixed Confidence Distribution?

A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models

Implicit Reasoning for Large Language Model-based Generative Recommendation

The Principles of Deep Learning Theory

C-Score: Beyond Accuracy for Robustness Assessment in Semi-Supervised Learning under Open-World Unlabeled Contamination

Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark

Hybrid Self-evolving Structured Memory for GUI Agents

SceneJail: Exploiting Video Scenario Context to Jailbreak Multimodal LLMs

ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization

The Era of Real-World Human Interaction: RL from User Conversations

Unmerge: Efficient Machine Unlearning via Task Arithmetic

Leveraging Inter-object Affordances for Efficient Planning in Contact-rich Tasks

Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup

Calibrating Teacher--Student Discrepancy for On-Policy Distillation

Ask a Language Model for Lottery Numbers: Concentration in Repeated Six-of-49 Outputs