Papers by Keiichi Yamada

1 papers
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning (2024.findings-acl)

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Challenge: Motivational Interviewing (MI) requires a system that can infer how to motivate users to adopt positive lifestyle changes.
Approach: They propose a framework that can learn and apply conversation strategies from expert demonstrations by using natural language inductive rules.
Outcome: The proposed framework outperforms in-context demonstrations that are over 50 times longer and can learn natural language strategies from demonstrations.

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