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Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: Benchmark Study

Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: Benchmark Study

In this direction, our work is motivated by the study conducted by Srivastava et al [47], which reported on a summarization-based counseling technique from therapist-client conversations. They released a conversation data set that is structured with the core components of psychotherapy about SH identification or the discovery of the patient’s behavior.

Prottay Kumar Adhikary, Aseem Srivastava, Shivani Kumar, Salam Michael Singh, Puneet Manuja, Jini K Gopinath, Vijay Krishnan, Swati Kedia Gupta, Koushik Sinha Deb, Tanmoy Chakraborty

JMIR Ment Health 2024;11:e57306