Researchers introduced CARE, a framework using large language models to predict multi-dimensional therapeutic alliance scores from counseling transcripts and generate interpretable rationales. This system enhances accuracy in capturing client-perceived therapeutic alliances compared to traditional methods, offering valuable insights for mental health practitioners and content creators aiming to improve communication effectiveness in therapy sessions.
Read the full article at arXiv cs.CL (NLP)
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Ali NematiWritten by Ali
