CAMI's combination of client-state inference and topic-tree exploration improves motivational-interviewing counseling performance over four LLM-based baselines in simulated sessions.
In Pro- ceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 11642– 11657
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CAMI: A Counselor Agent Supporting Motivational Interviewing through State Inference and Topic Exploration
CAMI's combination of client-state inference and topic-tree exploration improves motivational-interviewing counseling performance over four LLM-based baselines in simulated sessions.