Shypd.aiThe largest open index of AI toolsLLM_MultiAgents_Survey_Papers is an academic research tool that compiles a comprehensive survey of papers on Large Language Model-based Multi-Agents. It categorizes research into key streams like frameworks, orchestration, and problem-solving.
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LLM_MultiAgents_Survey_Papers is a GitHub repository dedicated to surveying the rapidly evolving field of Large Language Model (LLM) based Multi-Agents. It provides a curated collection of research papers, offering an overview of current progress and identifying key challenges. The repository categorizes these papers into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. This structured approach helps researchers and academics navigate the extensive literature. The project also includes a summarized LLM-based Multi-Agents architecture and an overview table, making it a valuable resource for understanding the landscape of multi-agent systems powered by large language models.
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