A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
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.
Key facts. Cited by 54 papers in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 52 of its 82 references that are in the map. First posted on arXiv 23 Dec 2024.
Builds on
52 of 82 references.
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