Using large language models (LLMs) to assist psychological counseling is a
significant but challenging task at present. Attempts have been made on
improving empathetic conversations or acting as effective assistants in the
treatment with LLMs. However, the existing datasets lack consulting knowledge,
resulting in LLMs lacking professional consulting competence. Moreover, how to
automatically evaluate multi-turn dialogues within the counseling process
remains an understudied area. To bridge the gap, we propose CPsyCoun, a
report-based multi-turn dialogue reconstruction and evaluation framework for
Chinese psychological counseling. To fully exploit psychological counseling
reports, a two-phase approach is devised to construct high-quality dialogues
while a comprehensive evaluation benchmark is developed for the effective
automatic evaluation of multi-turn psychological consultations. Competitive
experimental results demonstrate the effectiveness of our proposed framework in
psychological counseling. We open-source the datasets and model for future
research at this https URL

使用大型语言模型（LLMs）辅助心理咨询是一个重要但具有挑战性的任务。我们提出了 CPsyCoun，一个面向中文心理咨询的基于报告的多轮对话重构和评估框架，旨在弥补现有数据集在咨询知识方面的不足，以及自动评估心理咨询过程中的多轮对话。竞争实验结果表明了我们提出的框架在心理咨询中的有效性。我们开源数据集和模型供将来的研究使用。