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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92,101 to 92,160 of 102,639

Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
David Schmotz, Luca Beurer-Kellner, Sahar Abdelnabi +1
cs.CRcs.LGarXiv:2602.20156v32026
OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models
Yufeng Zhong, Lei Chen, Xuanle Zhao +7
cs.CVarXiv:2601.21639v22026
Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation
Alexandre Chapin, Bruno Machado, Emmanuel Dellandréa +1
cs.ROarXiv:2601.21416v22026
ACE-LoRA: Graph-Attentive Context Enhancement for Parameter-Efficient Adaptation of Medical Vision-Language Models
M. Arda Aydın, Melih B. Yilmaz, Aykut Koç +1
cs.CVarXiv:2603.17079v12026
Data-Efficient Curation for Multimodal Reasoning under Fixed Training Protocols
Yosub Shin, Michael Buriek, Boris Sobolev +5
cs.AIarXiv:2601.10922v22026
DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference
Aditya Kumar Singh, Hitesh Kandala, Pratik Prabhanjan Brahma +2
cs.CVcs.AIarXiv:2602.18846v22026
SPILLage: Agentic Oversharing on the Web
Jaechul Roh, Eugene Bagdasarian, Hamed Haddadi +1
cs.AIarXiv:2602.13516v12026
Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera Control
Linxi Xie, Lisong C. Sun, Ashley Neall +3
cs.CVarXiv:2602.18422v12026
MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies
Vasilii Feofanov, Songkang Wen, Jianfeng Zhang +2
cs.LGcs.AIarXiv:2602.17868v12026
MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval
Abdelrahman Abdallah, Mohamed Darwish Mounis, Mahmoud Abdalla +6
cs.IRarXiv:2601.09562v22026
VIOLA: Towards Video In-Context Learning with Minimal Annotations
Ryo Fujii, Hideo Saito, Ryo Hachiuma
cs.CVcs.AIarXiv:2601.15549v12026
Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering
Mohamad Salim, Jasmine Latendresse, SayedHassan Khatoonabadi +1
cs.SEcs.AIcs.MAarXiv:2601.14470v12026
AI IDEs or Autonomous Agents? Measuring the Impact of Coding Agents on Software Development
Shyam Agarwal, Hao He, Bogdan Vasilescu
cs.SEarXiv:2601.13597v22026
Multimodal Multi-Agent Empowered Legal Judgment Prediction
Zhaolu Kang, Junhao Gong, Qingxi Chen +7
cs.CLcs.AIcs.CYarXiv:2601.12815v52026
MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
Shengyuan Liu, Liuxin Bao, Qi Yang +6
cs.CVcs.AIarXiv:2602.03320v12026
UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing
Lichen Ma, Xiaolong Fu, Gaojing Zhou +6
cs.CVarXiv:2601.08321v32026
The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents
Weihao Xuan, Qingcheng Zeng, Heli Qi +3
cs.CLarXiv:2601.07264v12026
Resource-Efficient Iterative LLM-Based NAS with Feedback Memory
Xiaojie Gu, Dmitry Ignatov, Radu Timofte
cs.LGcs.AIarXiv:2603.12091v12026
Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge
Junjie Wu, Xuan Kan, Zihao He +3
cs.CLarXiv:2603.11665v22026
Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning
Yifan Wang, Shiyu Li, Peiming Li +3
cs.CLcs.CVarXiv:2601.14750v42026
Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs
Christos Koutsiaris
cs.IRcs.AIcs.CLarXiv:2602.14784v12026
Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
Aryan Das, Tanishq Rachamalla, Koushik Biswas +2
cs.CVcs.LGarXiv:2602.14498v22026
Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization
Alessandro Midolo, Alessandro Giagnorio, Fiorella Zampetti +3
cs.SEarXiv:2601.13118v12026
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Yilun Zhao, Lujing Xie, Haowei Zhang +16
cs.CVcs.AIcs.CLarXiv:2501.12380v12025
SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM
Xiaojiang Zhang, Jinghui Wang, Zifei Cheng +14
cs.LGarXiv:2504.14286v22025
Self-Organizing Agent Network for LLM-based Workflow Automation
Yiming Xiong, Jian Wang, Bing Li +2
cs.MAarXiv:2508.13732v22025
Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
Xingjian Diao, Zheyuan Liu, Chunhui Zhang +6
cs.CVcs.CLarXiv:2601.04442v22026
Kimi-VL Technical Report
Kimi Team, Angang Du, Bohong Yin +92
cs.CVarXiv:2504.07491v32025
On the Generalization Capacities of MLLMs for Spatial Intelligence
Gongjie Zhang, Wenhao Li, Quanhao Qian +4
cs.CVcs.LGarXiv:2603.06704v12026
PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
Jingcheng Hu, Yinmin Zhang, Shijie Shang +17
cs.LGarXiv:2601.05593v12026
Open Problems in Machine Unlearning for AI Safety
Fazl Barez, Tingchen Fu, Ameya Prabhu +16
cs.LGcs.AIcs.CYarXiv:2501.04952v12025
How Do Large Language Models Learn Concepts During Continual Pre-Training?
Barry Menglong Yao, Sha Li, Yunzhi Yao +4
cs.CLarXiv:2601.03570v22026
CONQUER: Context-Aware Representation with Query Enhancement for Text-Based Person Search
Zequn Xie
cs.CVarXiv:2601.18625v12026
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
Changyu Liu, Yiyang Liu, Taowen Wang +7
cs.ROarXiv:2601.06748v32026
Wan: Open and Advanced Large-Scale Video Generative Models
Team Wan, Ang Wang, Baole Ai +59
cs.CVarXiv:2503.20314v22025
Memory in the Age of AI Agents
Yuyang Hu, Shichun Liu, Yanwei Yue +44
cs.CLcs.AIarXiv:2512.13564v22025
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models
Keyon Vafa, Peter G. Chang, Ashesh Rambachan +1
cs.LGcs.AIarXiv:2507.06952v42025
GoodVibe: Security-by-Vibe for LLM-Based Code Generation
Maximilian Thang, Lichao Wu, Sasha Behrouzi +4
cs.CRarXiv:2602.10778v22026
Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics
Junqi Liu, Zihao Zhou, Zekai Zhu +10
cs.AIarXiv:2601.14027v12026
TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation
Liao Qu, Huichao Zhang, Yiheng Liu +7
cs.CVcs.AIarXiv:2412.03069v22024
Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning
Zhiming Xue, Sichen Zhao, Yalun Qi +2
cs.AIarXiv:2601.13632v22026
A Survey of Vibe Coding with Large Language Models
Yuyao Ge, Lingrui Mei, Zenghao Duan +12
cs.AIarXiv:2510.12399v22025
PRISM: Learning Design Knowledge from Data for Stylistic Design Improvement
Huaxiaoyue Wang, Sunav Choudhary, Franck Dernoncourt +2
cs.AIarXiv:2601.11747v12026
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Weiyun Wang, Zhe Chen, Wenhai Wang +8
cs.CLcs.CVarXiv:2411.10442v22024
Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets
Hanna Yukhymenko, Anton Alexandrov, Martin Vechev
cs.CLcs.AIcs.LGarXiv:2602.22207v12026
LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth
Weihao Zeng, Yuzhen Huang, Junxian He
cs.AIarXiv:2602.07962v12026
Chain of Mindset: Reasoning with Adaptive Cognitive Modes
Tianyi Jiang, Arctanx An, Hengyi Feng +12
cs.AIarXiv:2602.10063v22026
3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
Binghao Huang, Yixuan Wang, Xinyi Yang +2
cs.ROcs.AIcs.LGarXiv:2410.24091v22024
SemanticMoments: Training-Free Motion Similarity via Third Moment Features
Saar Huberman, Kfir Goldberg, Or Patashnik +2
cs.CVarXiv:2602.09146v12026
MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images
Ankan Deria, Komal Kumar, Adinath Madhavrao Dukre +3
cs.CVarXiv:2602.06965v22026
Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
Chuhan Zhang, Guillaume Le Moing, Skanda Koppula +11
cs.CVarXiv:2512.08924v22025
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding
Yi Xin, Qi Qin, Siqi Luo +29
cs.CVarXiv:2510.06308v12025
Blind to the Human Touch: Overlap Bias in LLM-Based Summary Evaluation
Jiangnan Fang, Cheng-Tse Liu, Hanieh Deilamsalehy +5
cs.CLarXiv:2602.07673v12026
Self-Evaluation Unlocks Any-Step Text-to-Image Generation
Xin Yu, Xiaojuan Qi, Zhengqi Li +6
cs.CVcs.AIcs.LGarXiv:2512.22374v12025
How Fast Can I Run My VLA? Demystifying VLA Inference Performance with VLA-Perf
Wenqi Jiang, Jason Clemons, Karu Sankaralingam +1
cs.ROarXiv:2602.18397v12026
MemoBrain: Executive Memory as an Agentic Brain for Reasoning
Hongjin Qian, Zhao Cao, Zheng Liu
cs.AIcs.CLcs.IRarXiv:2601.08079v12026
Learning a Generative Meta-Model of LLM Activations
Grace Luo, Jiahai Feng, Trevor Darrell +2
cs.LGcs.AIcs.CLarXiv:2602.06964v12026
Evaluating Gemini Robotics Policies in a Veo World Simulator
Gemini Robotics Team, Krzysztof Choromanski, Coline Devin +20
cs.ROcs.AIcs.CVarXiv:2512.10675v22025
AgentHallu: Benchmarking Automated Hallucination Attribution of LLM-based Agents
Xuannan Liu, Xiao Yang, Zekun Li +2
cs.CLarXiv:2601.06818v12026
Clustering-based Anomaly Detection in Multivariate Time Series Data
Jinbo Li, Hesam Izakian, Witold Pedrycz +1
cs.AIarXiv:2511.08072v12025

Every paper with a summary

Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks

OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models

Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation

ACE-LoRA: Graph-Attentive Context Enhancement for Parameter-Efficient Adaptation of Medical Vision-Language Models

Data-Efficient Curation for Multimodal Reasoning under Fixed Training Protocols

DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference

SPILLage: Agentic Oversharing on the Web

Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera Control

MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies

MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval

VIOLA: Towards Video In-Context Learning with Minimal Annotations

Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering

AI IDEs or Autonomous Agents? Measuring the Impact of Coding Agents on Software Development

Multimodal Multi-Agent Empowered Legal Judgment Prediction

MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning

UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing

The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents

Resource-Efficient Iterative LLM-Based NAS with Feedback Memory

Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge

Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning

Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging

Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding

SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM

Self-Organizing Agent Network for LLM-based Workflow Automation

Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization

Kimi-VL Technical Report

On the Generalization Capacities of MLLMs for Spatial Intelligence

PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning

Open Problems in Machine Unlearning for AI Safety

How Do Large Language Models Learn Concepts During Continual Pre-Training?

CONQUER: Context-Aware Representation with Query Enhancement for Text-Based Person Search

On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning

Wan: Open and Advanced Large-Scale Video Generative Models

Memory in the Age of AI Agents

What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models

GoodVibe: Security-by-Vibe for LLM-Based Code Generation

Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics

TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation

Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning

A Survey of Vibe Coding with Large Language Models

PRISM: Learning Design Knowledge from Data for Stylistic Design Improvement

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets

LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth

Chain of Mindset: Reasoning with Adaptive Cognitive Modes

3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing

SemanticMoments: Training-Free Motion Similarity via Third Moment Features

MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images

Efficiently Reconstructing Dynamic Scenes One D4RT at a Time

Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

Blind to the Human Touch: Overlap Bias in LLM-Based Summary Evaluation

Self-Evaluation Unlocks Any-Step Text-to-Image Generation

How Fast Can I Run My VLA? Demystifying VLA Inference Performance with VLA-Perf

MemoBrain: Executive Memory as an Agentic Brain for Reasoning

Learning a Generative Meta-Model of LLM Activations

Evaluating Gemini Robotics Policies in a Veo World Simulator

AgentHallu: Benchmarking Automated Hallucination Attribution of LLM-based Agents

Clustering-based Anomaly Detection in Multivariate Time Series Data