Papers by Haewon Min

    1 papers
    PhaseMI: A Motivational Interviewing Dataset for Enhancing Phase Progression in LLM-based Counseling (2026.findings-acl)

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    Challenge: Existing MI datasets do not explicitly model structured progression of MI phases, which is essential for effective and goal-oriented counseling.
    Approach: They propose a phase-structured MI dataset with a data generation framework that employs therapist, client, and supervisor LLMs to explicitly control phase transitions.
    Outcome: The proposed model achieves 12.3% better coverage of MI phases, 37.6% in guiding, and 61.1% in choosing.

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