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Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning
March 26, 2024, 4:50 a.m. | Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian McAuley
cs.CL updates on arXiv.org arxiv.org
Abstract: We consider the task of building a dialogue system that can motivate users to adopt positive lifestyle changes: Motivational Interviewing. Addressing such a task requires a system that can infer \textit{how} to motivate a user effectively. We propose DIIT, a framework that is capable of learning and applying conversation strategies in the form of natural language inductive rules from expert demonstrations. Automatic and human evaluation on instruction-following large language models show natural language strategy descriptions …
abstract arxiv building cs.cl dialogue few-shot framework inductive interviewing lifestyle positive reasoning strategy type via
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