#Multi-Agent System

28개의 포스트

[논문리뷰] CutClaw: Agentic Hours-Long Video Editing via Music Synchronization

arXiv에 게시된 'CutClaw: Agentic Hours-Long Video Editing via Music Synchronization' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Language Models #Video Editing #Audio-Visual Alignment #Multi-Agent System #Hierarchical Planning

2026년 3월 31일

[논문리뷰] Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models

arXiv에 게시된 'Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Reasoning #Image Understanding #Video Understanding #Multi-Agent System #Reinforcement Learning #Self-Evolving

2026년 3월 23일

[논문리뷰] WorldAgents: Can Foundation Image Models be Agents for 3D World Models?

Matthias Nießner이 arXiv에 게시한 'WorldAgents: Can Foundation Image Models be Agents for 3D World Models?' 논문에 대한 자세한 리뷰입니다.

#Review #3D World Generation #Foundation Models #Multi-Agent System #Vision-Language Models #3D Consistency #Gaussian Splatting

2026년 3월 22일

[논문리뷰] BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation

arXiv에 게시된 'BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Video Generation #Multi-Agent System #Brand Integration #Prompt Engineering #Large Language Models (LLMs)#LoRA Fine-tuning #Contextual Adaptation

2026년 3월 10일

[논문리뷰] Mozi: Governed Autonomy for Drug Discovery LLM Agents

arXiv에 게시된 'Mozi: Governed Autonomy for Drug Discovery LLM Agents' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Drug Discovery #Governed Autonomy #Multi-Agent System #Workflow Orchestration #Human-in-the-Loop #Computational Biology #Reproducibility

2026년 3월 5일

[논문리뷰] CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era

arXiv에 게시된 'CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Hallucination #Citation Verification #Multi-Agent System #Benchmark #Fact Checking #Scientific Integrity #Information Retrieval #Qwen3-VL

2026년 3월 1일

[논문리뷰] LongVideoAgent: Multi-Agent Reasoning with Long Videos

Renjie Pi이 arXiv에 게시한 'LongVideoAgent: Multi-Agent Reasoning with Long Videos' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent System #Long Video Understanding #Video Question Answering #Reinforcement Learning #Large Language Models #Temporal Grounding #Multimodal Reasoning #Tool-Augmented AI

2025년 12월 23일

[논문리뷰] DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI

arXiv에 게시된 'DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Data Preparation #Workflow Automation #Data-Centric AI #Synthetic Data #Multi-Agent System #Framework #Reproducibility

2025년 12월 22일

[논문리뷰] Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving

arXiv에 게시된 'Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving' 논문에 대한 자세한 리뷰입니다.

#Review #Mathematical Reasoning #Long-Horizon Reasoning #Multi-Agent System #Reinforcement Learning #Olympiad Problems #Lemma Memory #Context Length #OREAL-H

2025년 12월 11일

[논문리뷰] Asking like Socrates: Socrates helps VLMs understand remote sensing images

Xinran He이 arXiv에 게시한 'Asking like Socrates: Socrates helps VLMs understand remote sensing images' 논문에 대한 자세한 리뷰입니다.

#Review #Remote Sensing #Vision-Language Models #Iterative Reasoning #Evidence-Seeking #Socratic Method #Reinforcement Learning #Multi-Agent System #VQA #Grounding

2025년 12월 1일

[논문리뷰] SciEducator: Scientific Video Understanding and Educating via Deming-Cycle Multi-Agent System

arXiv에 게시된 'SciEducator: Scientific Video Understanding and Educating via Deming-Cycle Multi-Agent System' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent System #Video Understanding #Scientific Education #Deming Cycle #Large Language Models #Iterative Optimization #Knowledge Integration #Educational Content Generation

2025년 11월 25일

[논문리뷰] MADD: Multi-Agent Drug Discovery Orchestra

arXiv에 게시된 'MADD: Multi-Agent Drug Discovery Orchestra' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent System #Drug Discovery #LLM #Hit Identification #Virtual Screening #Generative AI #Property Prediction #Automated Machine Learning

2025년 11월 12일

[논문리뷰] The Station: An Open-World Environment for AI-Driven Discovery

wydu이 arXiv에 게시한 'The Station: An Open-World Environment for AI-Driven Discovery' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent System #Open-World Environment #Scientific Discovery #AI-Driven Research #Large Language Models #Emergent Behavior #State-of-the-Art (SOTA)

2025년 11월 10일

[논문리뷰] Human-Agent Collaborative Paper-to-Page Crafting for Under $0.1

arXiv에 게시된 'Human-Agent Collaborative Paper-to-Page Crafting for Under $0.1' 논문에 대한 자세한 리뷰입니다.

#Review #Human-Agent Collaboration #Project Page Generation #Multi-Agent System #LLM #VLM #Webpage Automation #PageBench #Scientific Communication #Cost-Effective AI

2025년 10월 24일

[논문리뷰] FinSight: Towards Real-World Financial Deep Research

Yutao Zhu이 arXiv에 게시한 'FinSight: Towards Real-World Financial Deep Research' 논문에 대한 자세한 리뷰입니다.

#Review #Financial Research #Multi-Agent System #Code Generation #Multimodal Reports #Iterative Visualization #Variable Memory #Deep Learning

2025년 10월 23일

[논문리뷰] VISTA: A Test-Time Self-Improving Video Generation Agent

Tomas Pfister이 arXiv에 게시한 'VISTA: A Test-Time Self-Improving Video Generation Agent' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Video Generation #Prompt Optimization #Multi-Agent System #Test-Time Improvement #MLLM-as-a-Judge #Video Evaluation #Audio-Video Synthesis

2025년 10월 20일

[논문리뷰] From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

Feiwei Qin이 arXiv에 게시한 'From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent System #Chemical Reaction Prediction #Explainable AI #Evidence-Based Reasoning #Large Language Models #Tool-Augmented LLMs #Scientific Discovery

2025년 10월 10일

[논문리뷰] MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline

arXiv에 게시된 'MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline' 논문에 대한 자세한 리뷰입니다.

#Review #MLE (Machine Learning Engineering)#Automated Task Generation #Multi-Agent System #LLM Agents #Benchmark #Data Curation #Hybrid Verification #Kaggle

2025년 10월 9일

[논문리뷰] JoyAgent-JDGenie: Technical Report on the GAIA

arXiv에 게시된 'JoyAgent-JDGenie: Technical Report on the GAIA' 논문에 대한 자세한 리뷰입니다.

#Review #Generalist Agent #Multi-Agent System #Plan-Execute #ReAct #Hierarchical Memory #Tool Integration #GAIA Benchmark #LLM Agent

2025년 10월 2일

[논문리뷰] D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents

Jinyuan Li이 arXiv에 게시한 'D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Mobile GUI Automation #Multi-Agent System #Cognitive Architecture #Pre-execution Alignment #Post-execution Reflection #Retrieval-Augmented Generation #Multimodal LLM #Deliberative AI

2025년 9월 29일

[논문리뷰] Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution

Jinjie Gu이 arXiv에 게시한 'Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent System #Browser Automation #Web Reconnaissance #Tool Generation #Task Execution #Self-Evolving AI #LLM/VLM #VisualWebArena

2025년 9월 26일

[논문리뷰] Interactive Recommendation Agent with Active User Commands

Xueyang Feng이 arXiv에 게시한 'Interactive Recommendation Agent with Active User Commands' 논문에 대한 자세한 리뷰입니다.

#Review #Interactive Recommendation #Large Language Models #Multi-Agent System #Natural Language Processing #Knowledge Distillation #User Control

2025년 9월 26일

[논문리뷰] DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks

Jiaxuan Lu이 arXiv에 게시한 'DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Evaluation #Research Agents #Benchmark #Multi-Agent System #Seminar-Grounded Tasks #Data Leakage Prevention #Ill-Structured Problems

2025년 9월 5일

[논문리뷰] Spacer: Towards Engineered Scientific Inspiration

zerojun48이 arXiv에 게시한 'Spacer: Towards Engineered Scientific Inspiration' 논문에 대한 자세한 리뷰입니다.

#Review #Scientific Discovery #Large Language Models (LLMs)#Decontextualization #Keyword Graph #Multi-Agent System #Scientific Ideation #Research Automation #Inspiration Engine

2025년 8월 27일

[논문리뷰] AWorld: Dynamic Multi-Agent System with Stable Maneuvering for Robust GAIA Problem Solving

Jinjie Gu이 arXiv에 게시한 'AWorld: Dynamic Multi-Agent System with Stable Maneuvering for Robust GAIA Problem Solving' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent System #Agent Stability #LLM #Tool Use #GAIA Benchmark #Robustness #Dynamic Supervision #Maneuvering

2025년 8월 14일

[논문리뷰] Visual Document Understanding and Question Answering: A Multi-Agent Collaboration Framework with Test-Time Scaling

Ruolin Shen이 arXiv에 게시한 'Visual Document Understanding and Question Answering: A Multi-Agent Collaboration Framework with Test-Time Scaling' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Document Understanding #Visual Question Answering #Multi-Agent System #Test-Time Scaling #Self-Correction #Mixed Reward Modeling #Large Language Models

2025년 8월 8일

[논문리뷰] CellForge: Agentic Design of Virtual Cell Models

Daniel Shao이 arXiv에 게시한 'CellForge: Agentic Design of Virtual Cell Models' 논문에 대한 자세한 리뷰입니다.

#Review #AI Scientist #Multi-Agent System #Virtual Cell Modeling #Single-Cell Perturbation Prediction #Deep Learning #Automated Model Design #Code Generation #Retrieval-Augmented Generation

2025년 8월 5일

[논문리뷰] SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution

Heng Lian이 arXiv에 게시한 'SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent System #Software Engineering #Fault Localization #Issue Resolution #Large Language Models #Competitive Debate #Graph Traversal

2025년 8월 4일