EmoTrack: Robust Depression Tracking from Counseling Transcripts across Session Regimes

ArXi:2605.22286v1 Announce Type: cross Text-based counseling is an important interface for AI mental-health, where transcripts may be used to monitor depression severity and flag sessions requiring timely human review. However, robust PHQ-8 prediction across session regimes remains challenging: fine-tuning-based methods can exploit richer supervision but may generalize poorly under data scarcity, while prompt-based LLM methods are data-efficient but usually treat each transcript holistically and provide limited for longitudinal context.