A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application
December 23, 2024 ยท The Cartographer ยท + Add venue
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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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