LLMs achieve Spearman correlations up to 0.8 for zero-shot Ryff PWB prediction from spontaneous speech, with added statistical and linguistic explainability analyses.
Integrating large language models into a tri-modal architecture for automated depression classification on the DAIC-WOZ
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Multi-agent audit framework reduces MAE for PHQ-8 depression prediction from 5.35 to 5.02 on DAIC-WOZ using open-source LLMs with open code.
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Predicting Psychological Well-Being from Spontaneous Speech using LLMs
LLMs achieve Spearman correlations up to 0.8 for zero-shot Ryff PWB prediction from spontaneous speech, with added statistical and linguistic explainability analyses.
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A Multi-Agent Audit Framework for High-Stakes Reasoning: Evaluation and Interpretability in Clinical Mental Health Screening
Multi-agent audit framework reduces MAE for PHQ-8 depression prediction from 5.35 to 5.02 on DAIC-WOZ using open-source LLMs with open code.