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Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities

Ju, Tianjie et al.
arXiv (All) · Papers
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computation-and-language
The rapid adoption of large language models (LLMs) in multi-agent systems has highlighted their impressive capabilities in various applications, such as collaborative problem-solving and autonomous negotiation. However, the security implications of these LLM-based multi-agent systems have not been t
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