@inproceedings{
lee2023investigating,
title={Investigating the Effects of Zero-Shot Chain-of-Thought on Empathetic Dialogue Generation},
author={Young-Jun Lee and Dokyong Lee and Jihui Im and Joo Won Sung and Ho-Jin Choi},
booktitle={NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following},
year={2023},
url={https://openreview.net/forum?id=eBu11K7THc}
}
This study investigates the effectiveness of the Zero-shot Chain-of-Thought (CoT) approach, specifically the "Let's think step by step.'',  in boosting the empathetic reasoning capabilities of Large Language Models (LLMs). Our experiments, however, reveal that Zero-shot CoT does not sufficiently enhance the empathetic reasoning of LLMs as compared to Zero-shot In-Context Learning (ICL), according to a variety of performance metrics. Importantly, we discovered that the perspective-taking prompting method, or ``\textit{Let's put {speaker} into {interlocutor}'s shoes.}'', surpasses the performance of Zero-shot CoT, especially in terms of emotion and intent accuracy, with an improvement of 21\% and 7\% respectively. The source code will be released after publication.
Investigating the Effects of Zero-Shot Chain-of-Thought on Empathetic Dialogue Generation
Young-Jun Lee Dokyong Lee Jihui Im Joo Won Sung Ho-Jin Choi