Papers by Rashmi Gupta
ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media (2025.emnlp-main)
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Aakash Kumar Agarwal, Saprativa Bhattacharjee, Mauli Rastogi, Jemima S. Jacob, Biplab Banerjee, Rashmi Gupta, Pushpak Bhattacharyya
| Challenge: | Almost 50% of depression patients face the risk of going into relapse. |
| Approach: | They propose to validate a social media dataset on depression relapse using cognitive theories of depression. |
| Outcome: | The first clinically validated social media dataset focused on depression relapse comprises 204 Reddit users annotated by mental health professionals. |
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis (2024.emnlp-main)
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Amey Hengle, Atharva Kulkarni, Shantanu Patankar, Madhumitha Chandrasekaran, Sneha D’silva, Jemima Jacob, Rashmi Gupta
| Challenge: | ANGST is a benchmark for depression-anxiety comorbidity classification from social media posts. |
| Approach: | They propose a social media-based benchmark for depression-anxiety comorbidity classification . ANGST enables multi-label classification, allowing each post to be simultaneously identified as indicating depression and/or anxiety. |
| Outcome: | The proposed dataset enables multi-label classification of depression and anxiety . it outperforms existing models but none achieves an F1 score exceeding 72% . |