폴더: AI/Papers/Agents

2026년 4월 13일

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

2026년 4월 13일

A Plan Reuse Mechanism for LLM-Driven Agent

2026년 4월 13일

AgentFold - Long-Horizon Web Agents with Proactive Context Management

memory

2026년 4월 13일

AgentTuning - Enabling Generalized Agentabilities for LLMS

2026년 4월 13일

Beyond Retrieval - Embracing Compressive Memory in Real-World Long-Term Conversations

2026년 4월 13일

GraphReader - Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models

2026년 4월 13일

Latent Collaboration in Multi-Agent Systems

2026년 4월 13일

MEM1 - Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

memory

2026년 4월 13일

MOM - LINEAR SEQUENCE MODELING WITH MIXTURE-OF-MEMORIES

2026년 4월 13일

MemAgent - Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

2026년 4월 13일

MemGPT - Towards LLMs as Operating System

2026년 4월 13일

MemGen - Weaving Generative Latent Memory for Self-Evolving Agents

2026년 4월 13일

Memory

2026년 4월 13일

ReAct - Synergizing Reasoning and Acting in Language Models

2026년 4월 13일

Reflexion - Language Agents with Verbal Reinforcement Learning

2026년 4월 13일

STEM - Scaling Transformers with Embedding Modules

2026년 4월 13일

Self-Distillation Enables Continual Learning

2026년 4월 13일

Titans - Learning to Memorize at Test Time

2026년 4월 13일

Toward Efficient Agents - A Survey of Memory, Tool Learning, and Planning

2026년 4월 13일

VOYAGER - An Open-Ended Embodied Agent with Large Language Models

2026년 4월 13일

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폴더: AI/Papers/Agents

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

A Plan Reuse Mechanism for LLM-Driven Agent

AgentFold - Long-Horizon Web Agents with Proactive Context Management

AgentTuning - Enabling Generalized Agentabilities for LLMS

Beyond Retrieval - Embracing Compressive Memory in Real-World Long-Term Conversations

GraphReader - Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models

Latent Collaboration in Multi-Agent Systems

MEM1 - Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

MOM - LINEAR SEQUENCE MODELING WITH MIXTURE-OF-MEMORIES

MemAgent - Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

MemGPT - Towards LLMs as Operating System

MemGen - Weaving Generative Latent Memory for Self-Evolving Agents

Memory

ReAct - Synergizing Reasoning and Acting in Language Models

Reflexion - Language Agents with Verbal Reinforcement Learning

STEM - Scaling Transformers with Embedding Modules

Self-Distillation Enables Continual Learning

Titans - Learning to Memorize at Test Time

Toward Efficient Agents - A Survey of Memory, Tool Learning, and Planning

VOYAGER - An Open-Ended Embodied Agent with Large Language Models

Agents Paper Collection