Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. 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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58,141 to 58,200 of 61,393

Decentralized Multi-Agent Systems with Shared Context
Yuzhen Mao, Azalia Mirhoseini
cs.MAcs.AIarXiv:2606.10662v12026
WebChallenger: A Reliable and Efficient Generalist Web Agent
Jayoo Hwang, Xiaowen Zhang, Vedant Padwal
cs.CLarXiv:2606.10423v12026
WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces
Wanli Li, Bowen Zhou, Yunyao Yu +4
cs.AIarXiv:2606.09426v32026
DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning
Lingyong Yan, Can Xu, Yukun Zhao +13
cs.AIarXiv:2606.07299v12026
Towards Retrieving Interaction Spaces for Agentic Search
Shengyao Zhuang, Yuansheng Ni, Hengxin Fun +2
cs.IRarXiv:2606.06880v12026
Summaries:한국어
Direct 3D-Aware Object Insertion via Decomposed Visual Proxies
Jingbo Gong, Yikai Wang, Yushi Lan +6
cs.CVcs.AIcs.LGarXiv:2606.06601v12026
Unsupervised Skill Discovery for Agentic Data Analysis
Zhisong Qiu, Kangqi Song, Shengwei Tang +4
cs.AIcs.CLcs.LGarXiv:2606.06416v12026
Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation
Maxime Griot, Paul Steven Scotti, Tanishq Mathew Abraham
cs.LGcs.CLarXiv:2606.05988v12026
Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Data
XiuYu Zhang, Yi Shan, Junfeng Fang +1
cs.CLarXiv:2606.05122v12026
The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development?
Xinyu Lu, Tianshu Wang, Pengbo Wang +8
cs.AIcs.CLarXiv:2606.04455v12026
Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill
Tao Chen, Gangwei Jiang, Pengyu Cheng +10
cs.LGcs.CLarXiv:2606.03980v12026
AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video Generation
Haobo Li, Yanhong Zeng, Yunhong Lu +6
cs.CVarXiv:2606.03972v22026
NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation
NVIDIA, :, Aarti Basant +32
cs.CVcs.AIcs.ROarXiv:2606.03159v22026
EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning
Guhong Chen, Yingcheng Shi, Yongbin Li +6
cs.AIarXiv:2606.03108v22026
Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling
Seojeong Park, Jiho Choi, Junyong Kang +3
cs.CVcs.AIarXiv:2606.02578v12026
Policy and World Modeling Co-Training for Language Agents
Ning Lu, Baijiong Lin, Shengcai Liu +9
cs.LGcs.AIarXiv:2606.02388v12026
Trust Region On-Policy Distillation
Xingrun Xing, Haoqing Wang, Boyan Gao +2
cs.LGcs.CLarXiv:2606.01249v32026
RoboStressBench: Benchmarking VLM Robustness to Physical Visual Stress in Embodied Scenes
Leyi Wu, Yifan Zhao, Jinjie Zhang +11
cs.CVarXiv:2606.00828v12026
GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration
Xiangtao Kong, Jixin Zhao, Lingchen Sun +2
cs.CVarXiv:2605.31039v22026
OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration
Xinchen Zhang, Bowei Liu, Jiale Liu +7
cs.CLcs.AIcs.CVarXiv:2605.28805v12026
GEM: Generative Supervision Helps Embodied Intelligence
Ruowen Zhao, Bangguo Li, Zuyan Liu +9
cs.CVarXiv:2605.28548v12026
Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations
Sachin Kumar
cs.CLcs.AIcs.LGarXiv:2605.27958v12026
LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding
Shihao Wang, Shilong Liu, Yuanguo Kuang +10
cs.CVcs.AIcs.LGarXiv:2605.27365v22026
Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini
Madhuri Shanbhogue, Zhe Li, Shanfeng Zhang +86
cs.CVarXiv:2605.27295v12026
Summaries:한국어
When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges
Parth Darshan, Abhishek Divekar
cs.CLcs.AIcs.LGarXiv:2605.26046v22026
AgentHijack: Benchmarking Computer Use Agent Robustness to Common Environment Corruptions
Jingwei Sun, Jianing Zhu, Yuanyi Li +3
cs.AIarXiv:2605.25707v12026
CONF-KV: Confidence-Aware KV Cache Eviction with Mixed-Precision Storage for Long-Horizon LLM
Yubo Li, Yidi Miao
cs.LGcs.AIarXiv:2605.24786v12026
Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
Hongbo Wang, Huaibo Huang, Pin Wang +3
cs.CVcs.AIarXiv:2605.23264v22026
AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
Baiyu Chen, Zechen Li, Wilson Wongso +5
cs.CVcs.AIcs.CLarXiv:2605.22715v22026
Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents
Asaf Yehudai, Lilach Eden, Michal Shmueli-Scheuer
cs.CLcs.AIarXiv:2605.22608v12026
Segment Anything with Motion, Geometry, and Semantic Adaptation for Complex Nonlinear Visual Object Tracking
Deyi Zhu, Yuji Wang, Yong Liu +4
cs.CVarXiv:2605.22538v12026
Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles
Jinyang Wu, Guocheng Zhai, Ruihan Jin +7
cs.LGcs.CLarXiv:2605.22177v12026
The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation
Yifan Lan, Yuanpu Cao, Hanyu Wang +2
cs.LGcs.AIarXiv:2605.21856v12026
ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison
Tianle Li, Xuyang Shen, Yan Ma +7
cs.LGcs.AIcs.CVarXiv:2605.20278v22026
PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
Zhuohan Gu, Qizheng Zhang, Omar Khattab +1
cs.AIcs.CLcs.LGarXiv:2605.19932v12026
GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment
Minxuan Lv, Tiehua Mei, Tanlong Du +9
cs.CLarXiv:2605.19577v12026
Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos
Yuqi Tang, Yang Shi, Zhuoran Zhang +21
cs.CVarXiv:2605.18984v12026
Evaluating Cognitive Age Alignment in Interactive AI Agents
Yifan Shen, Jiawen Zhang, Jian Xu +4
cs.AIarXiv:2605.17894v12026
Self-Improving CAD Generation Agents with Finite Element Analysis as Feedback
Guijin Son, Jehyun Park, Seyeon Park +2
cs.GRcs.CLarXiv:2605.17448v22026
When Vision Speaks for Sound
Xiaofei Wen, Wenjie Jacky Mo, Xingyu Fu +6
cs.CVcs.SDarXiv:2605.16403v12026
PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control
Jingxuan Wei, Xi Bai, Shan Liu +8
cs.AIarXiv:2605.15963v12026
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
Han Li, Jinyu Tian, Rili Feng +10
cs.AIarXiv:2605.15301v12026
SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer
Haoyi Zhu, Haozhe Liu, Yuyang Zhao +6
cs.CVarXiv:2605.15178v12026
Summaries:한국어
Nexus : An Agentic Framework for Time Series Forecasting
Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar +6
cs.AIcs.CLcs.LGarXiv:2605.14389v12026
Auditing Agent Harness Safety
Chengzhi Liu, Yichen Guo, Yepeng Liu +8
cs.CLcs.CYarXiv:2605.14271v22026
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
Jiaqi Liu, Xinyu Ye, Peng Xia +4
cs.LGcs.AIarXiv:2605.13941v12026
Learning, Fast and Slow: Towards LLMs That Adapt Continually
Rishabh Tiwari, Kusha Sareen, Lakshya A Agrawal +6
cs.LGcs.AIarXiv:2605.12484v22026
ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents
Xuhao Hu, Xi Zhang, Haiyang Xu +6
cs.AIarXiv:2605.12481v12026
Summaries:한국어
$δ$-mem: Efficient Online Memory for Large Language Models
Jingdi Lei, Di Zhang, Junxian Li +7
cs.AIarXiv:2605.12357v12026
Learning Agentic Policy from Action Guidance
Yuxiang Ji, Zengbin Wang, Yong Wang +6
cs.CLarXiv:2605.12004v12026
The Many Faces of On-Policy Distillation: Pitfalls, Mechanisms, and Fixes
Siqi Zhu, Xuyan Ye, Hongyu Lu +2
cs.AIarXiv:2605.11182v22026
Summaries:한국어
Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?
Tz-Huan Hsu, Jheng-Hong Yang, Jimmy Lin
cs.IRcs.AIcs.CLarXiv:2605.10848v12026
WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors
Keming Wu, Yijing Cui, Wenhan Xue +11
cs.CVarXiv:2605.10434v12026
Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon
Víctor Gallego
cs.LGcs.AIcs.DCarXiv:2605.09708v22026
Forcing-KV: Hybrid KV Cache Compression for Efficient Autoregressive Video Diffusion Models
Yicheng Ji, Zhizhou Zhong, Jun Zhang +7
cs.CVarXiv:2605.09681v12026
Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction
Ngoc Bui, Hieu Trung Nguyen, Arman Cohan +1
cs.LGarXiv:2605.09649v12026
MCP-Cosmos: World Model-Augmented Agents for Complex Task Execution in MCP Environments
Giridhar Ganapavarapu, Dhaval Patel
cs.AIcs.MAarXiv:2605.09131v12026
Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs
Guijin Son, Seungone Kim, Catherine Arnett +73
cs.CLarXiv:2605.09063v32026
CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models
Joowon Kim, Seungho Shin, Joonhyung Park +1
cs.CVarXiv:2605.08735v12026
RewardHarness: Self-Evolving Agentic Post-Training
Yuxuan Zhang, Penghui Du, Bo Li +11
cs.AIcs.CLcs.CVarXiv:2605.08703v12026

Every paper with a summary

Decentralized Multi-Agent Systems with Shared Context

WebChallenger: A Reliable and Efficient Generalist Web Agent

WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning

Towards Retrieving Interaction Spaces for Agentic Search

Direct 3D-Aware Object Insertion via Decomposed Visual Proxies

Unsupervised Skill Discovery for Agentic Data Analysis

Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation

Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Data

The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development?

Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill

AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video Generation

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning

Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling

Policy and World Modeling Co-Training for Language Agents

Trust Region On-Policy Distillation

RoboStressBench: Benchmarking VLM Robustness to Physical Visual Stress in Embodied Scenes

GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration

OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration

GEM: Generative Supervision Helps Embodied Intelligence

Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding

Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges

AgentHijack: Benchmarking Computer Use Agent Robustness to Common Environment Corruptions

CONF-KV: Confidence-Aware KV Cache Eviction with Mixed-Precision Storage for Long-Horizon LLM

Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution

AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild

Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents

Segment Anything with Motion, Geometry, and Semantic Adaptation for Complex Nonlinear Visual Object Tracking

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles

The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation

ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison

PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents

GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment

Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos

Evaluating Cognitive Age Alignment in Interactive AI Agents

Self-Improving CAD Generation Agents with Finite Element Analysis as Feedback

When Vision Speaks for Sound

PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control

Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution

SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer

Nexus : An Agentic Framework for Time Series Forecasting

Auditing Agent Harness Safety

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents

Learning, Fast and Slow: Towards LLMs That Adapt Continually

ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents

$δ$-mem: Efficient Online Memory for Large Language Models

Learning Agentic Policy from Action Guidance

The Many Faces of On-Policy Distillation: Pitfalls, Mechanisms, and Fixes

Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?

WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors

Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon

Forcing-KV: Hybrid KV Cache Compression for Efficient Autoregressive Video Diffusion Models

Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction

MCP-Cosmos: World Model-Augmented Agents for Complex Task Execution in MCP Environments

Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs

CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models

RewardHarness: Self-Evolving Agentic Post-Training