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Rashmi Gupta

2 accepted papers

2025

ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media

EMNLP 2025

Almost 50% depression patients face the risk of going into relapse. The risk increases to 80% after the second episode of depression. Although, depression detection from social media has attained considerable attention, depression relapse detection has remained largely unexplored due to the lack of

Cited by 0SourcePDFScholar
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…