A coarse-to-fine LLM pipeline generates dynamic clinical summaries to guide multimodal fusion for more accurate and interpretable depression detection and severity assessment.
In parallel, we prepend a[CLS]token to Hcat and pass it through a transformer encoder, obtaining a global representationH CLS ∈R d
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Dynamic Summary Generation for Interpretable Multimodal Depression Detection
A coarse-to-fine LLM pipeline generates dynamic clinical summaries to guide multimodal fusion for more accurate and interpretable depression detection and severity assessment.