PHQ-9

Researchers introduced embedding-based partial information decomposition (ePID), a scalable pipeline that compresses nonfocal symptoms into a low-cardinality discrete embedding to compute a tractable …

A Concept-Integrated Transformer (CIT) using LLM-guided concept supervision achieved the highest F1 score of 0.756 on the AFFECT dataset and tied for the highest at 0.765 on a PHQ-9 dataset, according…

Researchers developed WPG-MoE, a weak-prior-guided mixture-of-experts AI framework that personalizes depression detection by routing user expressions to specialized expert models, outperforming tradit…