2026
Dynamic Summary Generation for Interpretable Multimodal Depression Detection
ICASSP 2026poster
Depression remains widely underdiagnosed and undertreated because stigma and subjective symptom ratings hinder reliable screening. To address this challenge, we propose a coarse-to-fine, multi-stage framework that leverages large language models (LLMs) for accurate and interpretable detection. The p…