Firas Saidi

R-GCRED: a retrieval-grounded and calibrated risk estimation for depression prediction and screening recommendation framework

Early depression detection from textual narratives has advanced substantially with transformer-based language models and Large Language Models (LLMs). However, reliable screening-oriented decision support requires more than high predictive accuracy. Existing approaches often lack explicit symptom-level grounding, produ...