#Multi-Agent Systems

42개의 포스트

[논문리뷰] Story2Proposal: A Scaffold for Structured Scientific Paper Writing

arXiv에 게시된 'Story2Proposal: A Scaffold for Structured Scientific Paper Writing' 논문에 대한 자세한 리뷰입니다.

#Review #Scientific Writing #Multi-Agent Systems #Contract-Governed Generation #Structural Integrity #Visual Alignment #Provenance Tracking

2026년 3월 30일

[논문리뷰] Emergent Social Intelligence Risks in Generative Multi-Agent Systems

Yu Jiang이 arXiv에 게시한 'Emergent Social Intelligence Risks in Generative Multi-Agent Systems' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #Generative Models #Social Intelligence #Emergent Risks #Incentive Exploitation #Collective Cognition #Adaptive Governance

2026년 3월 30일

[논문리뷰] AdaMem: Adaptive User-Centric Memory for Long-Horizon Dialogue Agents

Peixi Wu이 arXiv에 게시한 'AdaMem: Adaptive User-Centric Memory for Long-Horizon Dialogue Agents' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Dialogue Memory #User-Centric #Adaptive Retrieval #Graph Memory #Multi-Agent Systems #Long-Horizon Reasoning

2026년 3월 18일

[논문리뷰] MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents

arXiv에 게시된 'MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Egocentric Vision #Multi-Agent Systems #Video Question Answering #Long-Horizon Reasoning #Embodied AI #Benchmark Dataset #Shared Memory #Dynamic Retrieval

2026년 3월 11일

[논문리뷰] MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data

arXiv에 게시된 'MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Models #Self-Evolution #Reinforcement Learning #Zero-Data #Multi-Agent Systems #Code Generation #Synthetic Data

2026년 3월 10일

[논문리뷰] Heterogeneous Agent Collaborative Reinforcement Learning

arXiv에 게시된 'Heterogeneous Agent Collaborative Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Large Language Models #Multi-Agent Systems #Policy Optimization #Heterogeneous Agents #Sample Efficiency #Knowledge Transfer #RLVR

2026년 3월 4일

[논문리뷰] AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning

arXiv에 게시된 'AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #Information Flow Optimization #Test-Time Rectification #Error Pruning #LLM Agents #Failure-Driven Indicators #Adaptive Reasoning

2026년 2월 26일

[논문리뷰] LatentMem: Customizing Latent Memory for Multi-Agent Systems

Zefeng He이 arXiv에 게시한 'LatentMem: Customizing Latent Memory for Multi-Agent Systems' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #LLM Memory #Latent Representation #Role-Aware #Token Efficiency #Policy Optimization #Continual Adaptation

2026년 2월 5일

[논문리뷰] WideSeek: Advancing Wide Research via Multi-Agent Scaling

Zhongtao Jiang이 arXiv에 게시한 'WideSeek: Advancing Wide Research via Multi-Agent Scaling' 논문에 대한 자세한 리뷰입니다.

#Review #Wide Research #Multi-Agent Systems #Reinforcement Learning #Information Seeking #Benchmarking #LLM Agents #Knowledge Graphs

2026년 2월 3일

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

arXiv에 게시된 'Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic Systems #Formal Theorem Proving #Large Language Models (LLMs)#Lean Theorem Prover #Multi-Agent Systems #Code Generation #Automated Reasoning #Human-AI Collaboration

2026년 1월 21일

[논문리뷰] Agentic Reasoning for Large Language Models

arXiv에 게시된 'Agentic Reasoning for Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic Reasoning #LLM Agents #Self-Evolving AI #Multi-Agent Systems #Planning #Tool Use #Retrieval-Augmented Generation #Reinforcement Learning

2026년 1월 21일

[논문리뷰] Reasoning Models Generate Societies of Thought

James Evans이 arXiv에 게시한 'Reasoning Models Generate Societies of Thought' 논문에 대한 자세한 리뷰입니다.

#Review #Reasoning Models #Large Language Models (LLMs)#Multi-Agent Systems #Society of Thought #Mechanistic Interpretability #Reinforcement Learning #Cognitive Diversity #Conversational AI

2026년 1월 18일

[논문리뷰] Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning

arXiv에 게시된 'Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #Reinforcement Learning #Test-Time Adaptation #Large Language Models #Collaborative Reasoning #Credit Assignment #Textual Experience #Distribution Shift Robustness

2026년 1월 15일

[논문리뷰] OpenTinker: Separating Concerns in Agentic Reinforcement Learning

Jiaxuan You이 arXiv에 게시한 'OpenTinker: Separating Concerns in Agentic Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #LLM Agents #Multi-Agent Systems #System Architecture #Separation of Concerns #RLaaS #Distributed Training #Agent Protocol Coordination

2026년 1월 12일

[논문리뷰] Agent-as-a-Judge

Meng Liu이 arXiv에 게시한 'Agent-as-a-Judge' 논문에 대한 자세한 리뷰입니다.

#Review #Agent-as-a-Judge #LLM Evaluation #Multi-Agent Systems #Tool Integration #AI Alignment #Automated Assessment #Survey

2026년 1월 8일

[논문리뷰] RecGPT-V2 Technical Report

Dian Chen이 arXiv에 게시한 'RecGPT-V2 Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Recommender Systems #Large Language Models #Multi-Agent Systems #Reinforcement Learning #Dynamic Prompting #Hybrid Representation #Agentic Evaluation #Explanation Generation

2025년 12월 16일

[논문리뷰] SimWorld: An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds

Xuhong He이 arXiv에 게시한 'SimWorld: An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds' 논문에 대한 자세한 리뷰입니다.

#Review #Autonomous Agents #Realistic Simulator #Unreal Engine 5 #LLM/VLM Agents #Procedural Generation #Multi-Agent Systems #Physical Simulation #Social Interaction

2025년 12월 2일

[논문리뷰] Latent Collaboration in Multi-Agent Systems

arXiv에 게시된 'Latent Collaboration in Multi-Agent Systems' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #Large Language Models #Latent Space #Latent Reasoning #Latent Communication #KV Cache #Computational Efficiency #Training-Free

2025년 11월 26일

[논문리뷰] Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO

arXiv에 게시된 'Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #Reinforcement Learning #LLM Training #Hierarchical Credit Assignment #Trajectory Alignment #Group Relative Policy Optimization #Tool-Augmented Reasoning #Vertical Architecture

2025년 11월 24일

[논문리뷰] UFO^3: Weaving the Digital Agent Galaxy

arXiv에 게시된 'UFO^3: Weaving the Digital Agent Galaxy' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #Cross-Device Orchestration #LLM-Powered Agents #Task Constellation #Directed Acyclic Graph (DAG)#Agent Interaction Protocol (AIP)#Fault Tolerance #Asynchronous Execution

2025년 11월 17일

[논문리뷰] MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism

arXiv에 게시된 'MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #Reinforcement Learning #LLMs #Pipeline Parallelism #Reasoning #Reward Shaping #Agentic AI

2025년 11월 16일

[논문리뷰] Adaptive Multi-Agent Response Refinement in Conversational Systems

arXiv에 게시된 'Adaptive Multi-Agent Response Refinement in Conversational Systems' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Multi-Agent Systems #Conversational AI #Response Refinement #Dynamic Agent Selection #Persona Alignment #Factual Grounding #Coherence

2025년 11월 11일

[논문리뷰] The Collaboration Gap

arXiv에 게시된 'The Collaboration Gap' 논문에 대한 자세한 리뷰입니다.

#Review #AI Collaboration #Multi-Agent Systems #Large Language Models (LLMs)#Maze Solving #Heterogeneous Agents #Collaboration Gap #Relay Inference #Agentic AI

2025년 11월 9일

[논문리뷰] Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets

arXiv에 게시된 'Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic Markets #Multi-Agent Systems #Large Language Models (LLMs)#Simulation Environment #Open-Source Platform #Market Mechanism Design #Behavioral Biases #Manipulation Resistance

2025년 10월 31일

[논문리뷰] MASPRM: Multi-Agent System Process Reward Model

Ying Xiong이 arXiv에 게시한 'MASPRM: Multi-Agent System Process Reward Model' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #Process Reward Model #MCTS #Inference-time Search #LLM Agents #Zero-shot Transfer #Reinforcement Learning #Compute-Aware Reasoning

2025년 10월 30일

[논문리뷰] Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics

arXiv에 게시된 'Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #Deep Research #Enterprise AI #Human-in-the-Loop #Steerable AI #LLM Agents #Context Engineering #Enterprise Analytics

2025년 10월 21일

[논문리뷰] Paper2Web: Let's Make Your Paper Alive!

Yao Wan이 arXiv에 게시한 'Paper2Web: Let's Make Your Paper Alive!' 논문에 대한 자세한 리뷰입니다.

#Review #Academic Webpage Generation #Multi-Agent Systems #Large Language Models #Model Context Protocol #Interactive Content #Multimedia Dissemination #Evaluation Benchmark #Human-Computer Interaction

2025년 10월 20일

[논문리뷰] GraphTracer: Graph-Guided Failure Tracing in LLM Agents for Robust Multi-Turn Deep Search

Zijian Zhang이 arXiv에 게시한 'GraphTracer: Graph-Guided Failure Tracing in LLM Agents for Robust Multi-Turn Deep Search' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Multi-Agent Systems #Failure Tracing #Root Cause Analysis #Information Dependency Graph #Reinforcement Learning #Deep Search

2025년 10월 16일

[논문리뷰] DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation

arXiv에 게시된 'DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation' 논문에 대한 자세한 리뷰입니다.

#Review #Machine Translation Evaluation #Large Language Models (LLMs)#Web Novel Translation #Multi-Agent Systems #Cultural Nuance #Benchmark Dataset #Natural Language Generation

2025년 10월 15일

[논문리뷰] AutoPR: Let's Automate Your Academic Promotion!

Yixin Yuan이 arXiv에 게시한 'AutoPR: Let's Automate Your Academic Promotion!' 논문에 대한 자세한 리뷰입니다.

#Review #Academic Promotion #Large Language Models #Multi-Agent Systems #Scholarly Communication #Multimodal Processing #Benchmark #Content Generation #Social Media Marketing

2025년 10월 13일

[논문리뷰] CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards

Yijiang Li이 arXiv에 게시한 'CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Agent Systems #LLM Agents #Self-Evolution #Reinforcement Learning #Interaction Rewards #LLM-as-a-Judge #Decentralized Learning

2025년 10월 10일

[논문리뷰] Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails

Xinyuan Liu이 arXiv에 게시한 'Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Alignment #Self-Evolution #Behavioral Drift #Reinforcement Learning #Multi-Agent Systems #Alignment Tipping Process

2025년 10월 7일

[논문리뷰] Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval

arXiv에 게시된 'Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval' 논문에 대한 자세한 리뷰입니다.

#Review #RAG #LLM Reasoning #Knowledge Graphs #Multi-Agent Systems #Context Retrieval #Heterogeneous Graphs #Adaptive Learning #Dual-Evolution

2025년 9월 29일

[논문리뷰] Virtual Agent Economies

William A. Cunningham이 arXiv에 게시한 'Virtual Agent Economies' 논문에 대한 자세한 리뷰입니다.

#Review #AI Agents #Virtual Economy #Multi-Agent Systems #Economic Mechanisms #Governance #Blockchain #Resource Allocation #Agent Alignment

2025년 9월 15일

[논문리뷰] QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading

Chenyu You이 arXiv에 게시한 'QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading' 논문에 대한 자세한 리뷰입니다.

#Review #High-Frequency Trading #Multi-Agent Systems #Large Language Models #Technical Analysis #Algorithmic Trading #Financial Reasoning #Price-Driven Signals

2025년 9월 15일

[논문리뷰] EnvX: Agentize Everything with Agentic AI

Wenzheng Tom Tang이 arXiv에 게시한 'EnvX: Agentize Everything with Agentic AI' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Multi-Agent Systems #Code Repository #Agentization #Natural Language Interaction #Agent-to-Agent Protocol #LLM-based Agents

2025년 9월 11일

[논문리뷰] Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers

Xia Xiao이 arXiv에 게시한 'Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Step-Provers #Reinforcement Learning (RL)#Off-Policy RL #Multi-Agent Systems #Tree Search #Automated Theorem Proving (ATP)#Formal Mathematics #AlphaZero

2025년 9월 9일

[논문리뷰] AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Liuyi Yao이 arXiv에 게시한 'AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Agentic Applications #ReAct Paradigm #Framework #Tool Use #Multi-Agent Systems #Developer Experience #Evaluation

2025년 8월 25일

[논문리뷰] Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Liam-Liu이 arXiv에 게시한 'Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL' 논문에 대한 자세한 리뷰입니다.

#Review #Chain-of-Agents #Agent Foundation Models #Multi-Agent Systems #Tool-Integrated Reasoning #Multi-agent Distillation #Agentic Reinforcement Learning #LLMs #End-to-End Learning

2025년 8월 20일

[논문리뷰] OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks

Hongxing Li이 arXiv에 게시한 'OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks' 논문에 대한 자세한 리뷰입니다.

#Review #Embodied AI #Agent Reasoning #LLM #Benchmarking #Tool Use #Multi-Agent Systems #Physical Interaction #Constraint Reasoning

2025년 8월 12일

[논문리뷰] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Xinhao Yi이 arXiv에 게시한 'A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems' 논문에 대한 자세한 리뷰입니다.

#Review #Self-Evolving AI Agents #Lifelong Learning #Foundation Models #Multi-Agent Systems #Agent Optimization #Prompt Engineering #Tool Use #AI Safety #Survey

2025년 8월 12일

[논문리뷰] SWE-Exp: Experience-Driven Software Issue Resolution

Heng Lian이 arXiv에 게시한 'SWE-Exp: Experience-Driven Software Issue Resolution' 논문에 대한 자세한 리뷰입니다.

#Review #Software Issue Resolution #LLM Agents #Experience-Driven Learning #Automated Program Repair #Multi-Agent Systems #Knowledge Management #Continuous Learning

2025년 8월 4일