Related papers: DUMA: a Dual-Mind Conversational Agent with Fast and Slow Thinking

DUMA: a Dual-Mind Conversational Agent with Fast and Slow Thinking

URL: http://arxiv.org/abs/2310.18075v4
Date: Fri, 24 Nov 2023 09:18:27 GMT
Title: DUMA: a Dual-Mind Conversational Agent with Fast and Slow Thinking
Authors: Xiaoyu Tian, Liangyu Chen, Na Liu, Yaxuan Liu, Wei Zou, Kaijiang Chen, Ming Cui
Abstract summary: DUMA embodies a dual-mind mechanism through the utilization of two generative Large Language Models (LLMs) dedicated to fast and slow thinking respectively. We have constructed a conversational agent to handle online inquiries in the real estate industry.
Score: 12.71072798544731
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Inspired by the dual-process theory of human cognition, we introduce DUMA, a novel conversational agent framework that embodies a dual-mind mechanism through the utilization of two generative Large Language Models (LLMs) dedicated to fast and slow thinking respectively. The fast thinking model serves as the primary interface for external interactions and initial response generation, evaluating the necessity for engaging the slow thinking model based on the complexity of the complete response. When invoked, the slow thinking model takes over the conversation, engaging in meticulous planning, reasoning, and tool utilization to provide a well-analyzed response. This dual-mind configuration allows for a seamless transition between intuitive responses and deliberate problem-solving processes based on the situation. We have constructed a conversational agent to handle online inquiries in the real estate industry. The experiment proves that our method balances effectiveness and efficiency, and has a significant improvement compared to the baseline.

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