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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6,061 to 6,120 of 15,269

Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code
Niels Mündler-Sasahara, Hristo Venev, Dawn Song +2
cs.PLcs.AIcs.LGarXiv:2607.13921v22026
Summaries:한국어
Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings
Jiangang Han
math.STcs.AIcs.LGarXiv:2607.13918v12026
SynthDocBench: Controlled Benchmark for Long-Context Visual Document Understanding
Abhigya Verma, Khyati Mahajan, Amit Kumar Saha +4
cs.CVcs.AIarXiv:2607.10400v12026
Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation
Yifan Zhou, Qihao Yang, Yan Li +14
cs.AIarXiv:2607.08758v12026
UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents
Niu Lian, Tongbo Chen, Zhehao Yu +8
cs.CLcs.AIcs.CVarXiv:2607.04425v22026
Trust Region Policy Distillation
Zhengpeng Xie, Li Lyna Zhang, Zeke Xie +1
cs.LGcs.AIarXiv:2607.04751v12026
Capable but Careless: Do Computer-Use Agents Follow Contextual Integrity?
Anmol Goel, Iryna Gurevych
cs.AIcs.CLarXiv:2606.23189v12026
HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
Tingyang Chen, Shuo Lu, Kang Zhao +11
cs.AIarXiv:2606.14249v32026
Orchestra-o1: Omnimodal Agent Orchestration
Fan Zhang, Vireo Zhang, Shengju Qian +8
cs.AIcs.CLcs.CVarXiv:2606.13707v12026
The Hidden Power of Scaling Factor in LoRA Optimization
Zicheng Zhang, Haoran Li, Jiaxing Wang +10
cs.AIarXiv:2606.12883v12026
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
Avijit Ghosh, Anka Reuel, Jenny Chim +45
cs.AIarXiv:2606.09809v22026
APPO: Agentic Procedural Policy Optimization
Xucong Wang, Ziyu Ma, Yong Wang +5
cs.LGcs.AIarXiv:2606.12384v22026
Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning
Zhiyuan Zhou, Andy Peng, Charles Xu +4
cs.LGcs.AIarXiv:2606.11087v12026
Redesign Mixture-of-Experts Routers with Manifold Power Iteration
Songhao Wu, Ang Lv, Ruobing Xie +1
cs.LGcs.AIcs.CLarXiv:2606.12397v12026
Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning
Renjie Mao, Xiangxin Zhou, Lvfang Tao +7
cs.LGcs.AIarXiv:2606.10968v22026
The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment
Filippo Tonini, Federico Torrielli, Anton Danholt Lautrup +3
cs.AIarXiv:2606.10747v12026
Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests
Thanawat Lodkaew, Johannes Ackermann, Soichiro Nishimori +3
cs.LGcs.AIcs.CLarXiv:2606.07379v22026
OPRD: On-Policy Representation Distillation
Shenzhi Yang, Guangcheng Zhu, Bowen Song +8
cs.LGcs.AIarXiv:2606.06021v42026
When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents
Dongsheng Zhu, Xuchen Ma, Yucheng Shen +5
cs.AIarXiv:2606.05806v12026
Why Muon Outperforms Adam: A Curvature Perspective
Shuche Wang, Fengzhuo Zhang, Jiaxiang Li +2
cs.LGcs.AIarXiv:2606.04662v12026
EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management
Zherui Yang, Fan Liu, Yansong Ning +1
cs.AIarXiv:2606.03841v12026
Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents
Yingqi Zhang
cs.OScs.AIcs.CRarXiv:2606.03895v22026
Two-Fidelity Best-Action Identification for Stochastic Minimax Tree
Peter Chen, Xi Chen
cs.LGcs.AIarXiv:2606.01708v12026
ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree
Vincent Koc, Patrick Erichsen, Jacob Tomlinson +3
cs.CRcs.AIcs.SEarXiv:2606.01494v12026
MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems
Xinle Deng, Ruobin Zhong, Hujin Peng +15
cs.CLcs.AIcs.LGarXiv:2605.28732v32026
Parallax: Parameterized Local Linear Attention for Language Modeling
Yifei Zuo, Dhruv Pai, Zhichen Zeng +3
cs.LGcs.AIcs.CLarXiv:2605.29157v12026
Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents
Minhua Lin, Juncheng Wu, Zijun Wang +14
cs.AIarXiv:2605.30621v12026
GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models
Xiaohang Tang, Keyue Jiang, Che Liu +4
cs.LGcs.AIarXiv:2605.29398v12026
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
Shu Wan, Abhinav Gorantla, Huan Liu +1
cs.LGcs.AIstat.MEarXiv:2605.29411v22026
CubePart: An Open-Vocabulary Part-Controllable 3D Generator
Yiheng Zhu, Kangle Deng, Jean-Philippe Fauconnier +9
cs.AIarXiv:2605.28763v12026
Trust Region Q Adjoint Matching
Yonghoon Dong, Kyungmin Lee, Changyeon Kim +2
cs.LGcs.AIcs.ROarXiv:2605.27079v12026
Pruning and Distilling Mixture-of-Experts into Dense Language Models
Junhyuck Kim, Jihun Yun, Haechan Kim +3
cs.CLcs.AIcs.LGarXiv:2605.28207v22026
AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios
Kou Shi, Ziao Zhang, Shiting Huang +7
cs.AIarXiv:2605.27995v22026
When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs
Yifan Zeng, Yiran Wu, Yaolun Zhang +4
cs.AIcs.LGarXiv:2605.24202v22026
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers
Tim Tsz-Kit Lau, Weijie Su
math.OCcs.AIcs.LGarXiv:2605.18106v42026
The Distillation Game: Adaptive Attacks & Efficient Defenses
Youssef Allouah, Mahdi Haghifam, Sanmi Koyejo +1
cs.LGcs.AIarXiv:2605.22737v32026
OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization
Mark Boss, Vikram Voleti, Simon Donné +1
cs.LGcs.AIarXiv:2605.21226v12026
optimize_anything: A Universal API for Optimizing any Text Parameter
Lakshya A Agrawal, Donghyun Lee, Shangyin Tan +11
cs.CLcs.AIcs.LGarXiv:2605.19633v12026
Ethical Hyper-Velocity (EHV): A Hardware-Rooted Zero-Trust Runtime Enforcement Architecture for Agentic AI Systems
Riddhi Mohan Sharma
cs.AIcs.LOarXiv:2605.17909v22026
Summaries:한국어
Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR
Chanuk Lee, Sangwoo Park, Minki Kang +1
cs.AIcs.CLarXiv:2605.15726v12026
HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts
Tao Zhong, Dongzhe Zheng, Christine Allen-Blanchette
cs.LGcs.AIcs.CLarXiv:2605.13997v12026
Holder Policy Optimisation
Yuxiang Chen, Dingli Liang, Yihang Chen +8
cs.LGcs.AIarXiv:2605.12058v22026
G-Zero: Self-Play for Open-Ended Generation from Zero Data
Chengsong Huang, Haolin Liu, Tong Zheng +7
cs.LGcs.AIcs.CLarXiv:2605.09959v12026
Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding
Zhiqin Yang, Yuhan Liu, Jingwen Fu +4
cs.AIarXiv:2605.09271v12026
PrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors
Xinmiao Huang, Jinwei Hu, Rajarshi Roy +3
cs.AIarXiv:2605.06455v12026
Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models
Kai Zhao, Dongliang Nie, Yuchen Lin +4
cs.LGcs.AIarXiv:2605.09241v12026
AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning
Haotian Zhao, Songlin Zhou, Yuxin Zhang +9
cs.AIarXiv:2605.00425v32026
Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis
Zhisong Qiu, Shuofei Qiao, Kewei Xu +4
cs.CLcs.AIcs.CEarXiv:2604.24198v22026
R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL
Hojae Han, Yeonseok Jeong, Seung-won Hwang +2
cs.SEcs.AIcs.CLarXiv:2604.25325v12026
Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents
Seyed Moein Abtahi, Rasa Rahnema, Hetkumar Patel +3
cs.AIarXiv:2604.22085v12026
Convergent Evolution: How Different Language Models Learn Similar Number Representations
Deqing Fu, Tianyi Zhou, Mikhail Belkin +2
cs.CLcs.AIcs.LGarXiv:2604.20817v22026
Reinforcement Learning via Value Gradient Flow
Haoran Xu, Kaiwen Hu, Somayeh Sojoudi +1
cs.LGcs.AIarXiv:2604.14265v12026
ROSE: An Intent-Centered Evaluation Metric for NL2SQL
Wenqi Pei, Shizheng Hou, Boyan Li +3
cs.DBcs.AIarXiv:2604.12988v12026
Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
Yecheng Wu, Song Han, Hai Cai
cs.LGcs.AIarXiv:2604.13010v22026
Steered LLM Activations are Non-Surjective
Aayush Mishra, Daniel Khashabi, Anqi Liu
cs.AIcs.LGarXiv:2604.09839v22026
RewardFlow: Generate Images by Optimizing What You Reward
Onkar Susladkar, Dong-Hwan Jang, Tushar Prakash +7
cs.CVcs.AIarXiv:2604.08536v12026
Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling
Yongchang Hao, Lili Mou
cs.LGcs.AImath.OCarXiv:2604.04987v12026
Learning to Hint for Reinforcement Learning
Yu Xia, Canwen Xu, Zhewei Yao +2
cs.LGcs.AIcs.CLarXiv:2604.00698v12026
Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering
Yanjie Zhang, Yafei Li, Rui Sheng +5
cs.CVcs.AIcs.MMarXiv:2603.28583v22026
PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost
Junkeun Yi, Damon Mosk-Aoyama, Baihe Huang +9
cs.AIarXiv:2603.21383v12026

Artificial Intelligence

Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code

Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings

SynthDocBench: Controlled Benchmark for Long-Context Visual Document Understanding

Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation

UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents

Trust Region Policy Distillation

Capable but Careless: Do Computer-Use Agents Follow Contextual Integrity?

HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry

Orchestra-o1: Omnimodal Agent Orchestration

The Hidden Power of Scaling Factor in LoRA Optimization

Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting

APPO: Agentic Procedural Policy Optimization

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning

Redesign Mixture-of-Experts Routers with Manifold Power Iteration

Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning

The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment

Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests

OPRD: On-Policy Representation Distillation

When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents

Why Muon Outperforms Adam: A Curvature Perspective

EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management

Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents

Two-Fidelity Best-Action Identification for Stochastic Minimax Tree

ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree

MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems

Parallax: Parameterized Local Linear Attention for Language Modeling

Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models

The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction

CubePart: An Open-Vocabulary Part-Controllable 3D Generator

Trust Region Q Adjoint Matching

Pruning and Distilling Mixture-of-Experts into Dense Language Models

AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios

When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs

Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers

The Distillation Game: Adaptive Attacks & Efficient Defenses

OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization

optimize_anything: A Universal API for Optimizing any Text Parameter

Ethical Hyper-Velocity (EHV): A Hardware-Rooted Zero-Trust Runtime Enforcement Architecture for Agentic AI Systems

Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR

HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts

Holder Policy Optimisation

G-Zero: Self-Play for Open-Ended Generation from Zero Data

Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding

PrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors

Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models

AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis

R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL

Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents

Convergent Evolution: How Different Language Models Learn Similar Number Representations

Reinforcement Learning via Value Gradient Flow

ROSE: An Intent-Centered Evaluation Metric for NL2SQL

Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation

Steered LLM Activations are Non-Surjective

RewardFlow: Generate Images by Optimizing What You Reward

Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling

Learning to Hint for Reinforcement Learning

Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering

PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost