CBT-LLM: A Chinese Large Language Model for Cognitive Behavioral
  Therapy-based Mental Health Question Answering
Hongbin Na
The recent advancements in artificial intelligence highlight the potential of
language models in psychological health support. While models trained on data
from mental health service platform have achieved preliminary success,
challenges persist in areas such as data scarcity, quality, and ensuring a
solid foundation in psychological techniques. To address these challenges, this
study introduces a novel approach to enhance the precision and efficacy of
psychological support through large language models. Specifically, we design a
specific prompt derived from principles of Cognitive Behavioral Therapy (CBT)
and have generated the CBT QA dataset, specifically for Chinese psychological
health Q&A based on CBT structured intervention strategies. Unlike previous
methods, our dataset emphasizes professional and structured response. Utilizing
this dataset, we fine-tuned the large language model, giving birth to CBT-LLM,
the large-scale language model specifically designed for Cognitive Behavioral
Therapy techniques. Empirical evaluations demonstrate that CBT-LLM excels in
generating structured, professional, and highly relevant responses in
psychological health support tasks, showcasing its practicality and quality.
The model is available on Hugging Face:
https://huggingface.co/Hongbin37/CBT-LLM.