Every Response Counts: Quantifying Uncertainty of LLM -based Multi-Agent Systems through Tensor Decomposition
Tiejin Chen · Huaiyuan Yao · Jia Chen · Evangelos E. Papalexakis · Hua Wei
摘要
While Large Language Model-based Multi-Agent Systems (MAS) consistently outperform single-agent systems on complex tasks, their intricate interactions introduce critical reliability challenges arising from communication dynamics and role dependencies. Existing Uncertainty Quantification methods,...