Papers by Jemima Jacob
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% . |