Leveraging large language models to identify microcounseling skills in psychotherapy transcripts.

Objective: Microcounseling skills are fundamental to effective psychotherapy, yet manual coding is time- and resource-intensive. This study explores the potential of large language models (LLMs) to automate the identification of these skills in therapy sessions. Method: We fine-tuned GPT-4.1 on a se...

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Bibliographic Details

Published in:	Psychotherapy Research Vol. 36; no. 6; pp. 1058 - 1077
Main Authors:	Hammerfald, Karin, Schmidt, Fabian, Vlassov, Vladimir, Haaland Jahren, Henrik, Solbakken, Ole André
Format:	Article
Published:	Taylor & Francis Ltd Jul2026
Subjects:	Psychotherapy Counseling Generative pre-trained transformers Natural language processing Automatic classification Language models Machine learning
Online Access:	View this record in EBSCOhost