#Self-Evolution

11개의 포스트

[논문리뷰] SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments

Xinrui Cheng이 arXiv에 게시한 'SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments' 논문에 대한 자세한 리뷰입니다.

#Review #Spatial Reasoning #Self-Evolution #Vision-Language Models #Deterministic Geometric Environment #Reinforcement Learning

2026년 4월 15일

[논문리뷰] MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution

Xianfeng Tang이 arXiv에 게시한 'MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Memory Cycle #Multi-Agent Reasoning #Self-Evolution #Long-Horizon Memory #Strategic Blindness #Memory Management

2026년 3월 26일

[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] EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines

arXiv에 게시된 'EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines' 논문에 대한 자세한 리뷰입니다.

#Review #LLM Agents #Self-Evolution #Finite State Machines #Deep Research #Multi-hop QA #Adaptive Workflow #Memory Mechanism #Controllable AI

2026년 1월 14일

[논문리뷰] Controlled Self-Evolution for Algorithmic Code Optimization

arXiv에 게시된 'Controlled Self-Evolution for Algorithmic Code Optimization' 논문에 대한 자세한 리뷰입니다.

#Review #Self-Evolution #Code Optimization #Large Language Models #Genetic Algorithms #Hierarchical Memory #Algorithmic Code Generation #Exploration Efficiency

2026년 1월 14일

[논문리뷰] Dr. Zero: Self-Evolving Search Agents without Training Data

Shaoliang Nie이 arXiv에 게시한 'Dr. Zero: Self-Evolving Search Agents without Training Data' 논문에 대한 자세한 리뷰입니다.

#Review #Self-Evolution #Search Agents #Large Language Models (LLMs)#Data-Free Learning #Reinforcement Learning (RL)#Hop-Grouped Relative Policy Optimization (HRPO)#Question Answering #Multi-hop Reasoning

2026년 1월 12일

[논문리뷰] Memory in the Age of AI Agents

Yanwei Yue이 arXiv에 게시한 'Memory in the Age of AI Agents' 논문에 대한 자세한 리뷰입니다.

#Review #AI Agents #Memory Systems #LLMs #Taxonomy #Continual Learning #Self-Evolution #Multimodality #Reinforcement Learning

2025년 12월 15일

[논문리뷰] Fed-SE: Federated Self-Evolution for Privacy-Constrained Multi-Environment LLM Agents

Xiaodong Gu이 arXiv에 게시한 'Fed-SE: Federated Self-Evolution for Privacy-Constrained Multi-Environment LLM Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Federated Learning (FL)#LLM Agents #Self-Evolution #Privacy-Preserving #Multi-Environment #Parameter-Efficient Fine-Tuning #Low-Rank Aggregation #Reinforcement Learning

2025년 12월 11일

[논문리뷰] Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?

Lingming Zhang이 arXiv에 게시한 'Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?' 논문에 대한 자세한 리뷰입니다.

#Review #Software Engineering Agents #LLM Agents #Self-Evolution #On-the-Fly Learning #Tool Creation #SWE-bench #Autonomous Systems #Code Generation

2025년 11월 17일

[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