On the Discussion of Large Language Models: Symmetry of Agents and Interplay with Prompts (2311.07076v1)

Abstract: Two ways has been discussed to unlock the reasoning capability of a LLM. The first one is prompt engineering and the second one is to combine the multiple inferences of LLMs, or the multi-agent discussion. Theoretically, this paper justifies the multi-agent discussion mechanisms from the symmetry of agents. Empirically, this paper reports the empirical results of the interplay of prompts and discussion mechanisms, revealing the empirical state-of-the-art performance of complex multi-agent mechanisms can be approached by carefully developed prompt engineering. This paper also proposes a scalable discussion mechanism based on conquer and merge, providing a simple multi-agent discussion solution with simple prompts but state-of-the-art performance.