most citedRethinking Multi-Agent Intelligence Through the Lens of Small-World Networks

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Rethinking Multi-Agent Intelligence Through the Lens of Small-World Networks

Boxuan Wang, Zhuoyun Li, Xiaowei Huang +1

Large language models (LLMs) have enabled multi-agent systems (MAS) in which multiple agents argue, critique, and coordinate to solve complex tasks, making communication topology a…

cs.AI2025

Enhancing Robustness of LLM-Driven Multi-Agent Systems through Randomized Smoothing

Jinwei Hu, Yi Dong, Zhengtao Ding +1

This paper presents a defense framework for enhancing the safety of large language model (LLM) empowered multi-agent systems (MAS) in safety-critical domains such as aerospace. We…