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Updated: Aug 7, 2026

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Leveraging Multimodal Self-Consistency Reasoning in Coding Motivational Interviewing for Alcohol Use Reduction

Guangzeng Han1, James G Murphy2, Benjamin O Ladd3

  • 1Department of Computer Science, University of Memphis, Memphis, TN 38152, United States.

Military Medicine
|August 6, 2026
PubMed
Summary

Automating Motivational Interviewing (MI) coding using audio language models (ALMs) shows promise. Multimodal self-consistency (MM-SC) improves accuracy by analyzing both verbal and acoustic cues, outperforming baseline methods.

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