Papers by Raja Kumar
Eyes Show the Way: Modelling Gaze Behaviour for Hallucination Detection (2023.findings-emnlp)
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| Challenge: | Existing methods for hallucination detection depend on knowledge sources that are explicit such as Wikipedia or knowledge graphs. |
| Approach: | They propose a cognitive approach that leverages gaze signals from humans to detect hallucinations in natural language processing (NLP) they collect and introduce an eye tracking corpus consisting of 500 instances, annotated by five annotators for hallucinism detection. |
| Outcome: | The proposed approach achieves a balanced accuracy of 87.1% on a FactCC dataset. |
Mental Disorder Classification via Temporal Representation of Text (2024.findings-emnlp)
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| Challenge: | Current methods for mental disorder prediction split data into chunks and use limited context length . mental health professionals lack the skills to diagnose and treat mental disorders . |
| Approach: | They propose a framework which compresses chronologically ordered social media posts into a series of numbers and uses this time variant representation for mental disorder classification. |
| Outcome: | The proposed framework outperforms existing models in depression, self-harm and anorexia . it also shows that the proposed framework can be used across domains . |