A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application

December 23, 2024 ยท The Cartographer ยท + Add venue

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application"

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Authors Shuaihang Chen, Yuanxing Liu, Wei Han, Weinan Zhang, Ting Liu arXiv ID 2412.17481 Category cs.CL: Computation & Language Cross-listed cs.MA Citations 40 Last Checked 2 days ago
Abstract
LLM-based Multi-Agent Systems ( LLM-MAS ) have become a research hotspot since the rise of large language models (LLMs). However, with the continuous influx of new related works, the existing reviews struggle to capture them comprehensively. This paper presents a comprehensive survey of these studies. We first discuss the definition of LLM-MAS, a framework encompassing much of previous work. We provide an overview of the various applications of LLM-MAS in (i) solving complex tasks, (ii) simulating specific scenarios, and (iii) evaluating generative agents. Building on previous studies, we also highlight several challenges and propose future directions for research in this field.
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