HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy
Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang, Min, Peng, Weiguang Han, Jimin Huang

TL;DR
HealMe is a novel LLM-based psychotherapy tool that uses empathetic dialogue and psychotherapeutic frameworks to improve cognitive reframing, addressing deep-rooted negative thoughts and fostering balanced perspectives.
Contribution
This paper introduces HealMe, a new LLM model employing psychotherapeutic strategies and comprehensive evaluation metrics for effective cognitive reframing in psychotherapy.
Findings
HealMe outperforms existing models in empathy and guidance.
It effectively addresses deep-rooted negative thoughts.
Demonstrates positive impact in real-world therapy settings.
Abstract
Large Language Models (LLMs) can play a vital role in psychotherapy by adeptly handling the crucial task of cognitive reframing and overcoming challenges such as shame, distrust, therapist skill variability, and resource scarcity. Previous LLMs in cognitive reframing mainly converted negative emotions to positive ones, but these approaches have limited efficacy, often not promoting clients' self-discovery of alternative perspectives. In this paper, we unveil the Helping and Empowering through Adaptive Language in Mental Enhancement (HealMe) model. This novel cognitive reframing therapy method effectively addresses deep-rooted negative thoughts and fosters rational, balanced perspectives. Diverging from traditional LLM methods, HealMe employs empathetic dialogue based on psychotherapeutic frameworks. It systematically guides clients through distinguishing circumstances from feelings,…
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Code & Models
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Taxonomy
TopicsMental Health via Writing · Machine Learning in Healthcare · Mental Health Research Topics
