Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models

arXiv:2405.05060v1 Announce Type: new
Abstract: Given the increasing demand for mental health assistance, artificial intelligence (AI), particularly large language models (LLMs), may be valuable for integration into automated clinical support systems. In this work, we leverage a decision transformer architecture for topic recommendation in counseling conversations between patients and mental health professionals. The architecture is utilized for offline reinforcement learning, and we extract states (dialogue turn embeddings), actions (conversation topics), and rewards (scores measuring the alignment between patient and therapist) …

abstract architecture artificial artificial intelligence arxiv automated clinical conversational conversations cs.cl decision demand health integration intelligence language language models large language large language models llms mental health recommendation support systems transformer transformer architecture type work