Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues

• URL: http://arxiv.org/abs/2504.17238v1
• Date: Thu, 24 Apr 2025 04:22:00 GMT
• Title: Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues
• Authors: Jinfeng Zhou, Yuxuan Chen, Jianing Yin, Yongkang Huang, Yihan Shi, Xikun Zhang, Libiao Peng, Rongsheng Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang,
• Abstract summary: Cognitive Restructuring (CR) is a psychotherapeutic process aimed at identifying and restructuring an individual's negative thoughts.<n>Existing efforts implement CR via simple text rewriting, fixed-pattern dialogues, or a one-shot CR workflow.<n>We propose CRDial, a novel framework for CR, which creates multi-turn dialogues with specifically designed identification and restructuring stages.
• Score: 75.16593367473259
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Cognitive Restructuring (CR) is a psychotherapeutic process aimed at identifying and restructuring an individual's negative thoughts, arising from mental health challenges, into more helpful and positive ones via multi-turn dialogues. Clinician shortage and stigma urge the development of human-LLM interactive psychotherapy for CR. Yet, existing efforts implement CR via simple text rewriting, fixed-pattern dialogues, or a one-shot CR workflow, failing to align with the psychotherapeutic process for effective CR. To address this gap, we propose CRDial, a novel framework for CR, which creates multi-turn dialogues with specifically designed identification and restructuring stages of negative thoughts, integrates sentence-level supportive conversation strategies, and adopts a multi-channel loop mechanism to enable iterative CR. With CRDial, we distill Crisp, a large-scale and high-quality bilingual dialogue dataset, from LLM. We then train Crispers, Crisp-based conversational LLMs for CR, at 7B and 14B scales. Extensive human studies show the superiority of Crispers in pointwise, pairwise, and intervention evaluations.

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