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Sneha D’silva

1 accepted papers

2024

Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis

EMNLP 2024main

In this study, we introduce ANGST, a novel, first of its kind benchmark for depression-anxiety comorbidity classification from social media posts. Unlike contemporary datasets that often oversimplify the intricate interplay between different mental health disorders by treating them as isolated condi…