Tag
Dep-LLM is a training-free framework that uses frozen large language models to diagnose depression from clinical interviews by decomposing dialogue into five clinically aligned themes with evidence-grounded reasoning and confidence modulation, outperforming zero-shot and some supervised methods on DAIC-WOZ and E-DAIC datasets.