EmoTrack uses LLM clinical signals plus frozen turn-level embeddings and compact cross-session memory to predict PHQ-8 scores, delivering a 13.5% MAE reduction on single-session DAIC-WOZ and competitive results on the new LongCounsel multi-session dataset.
Explainable depression detection in clinical inter- views with personalized retrieval-augmented generation
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EmoTrack: Robust Depression Tracking from Counseling Transcripts across Session Regimes
EmoTrack uses LLM clinical signals plus frozen turn-level embeddings and compact cross-session memory to predict PHQ-8 scores, delivering a 13.5% MAE reduction on single-session DAIC-WOZ and competitive results on the new LongCounsel multi-session dataset.