Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering A Pal, LK Umapathi, M Sankarasubbu Conference on health, inference, and learning, 248-260, 2022 | 176 | 2022 |
Multi-label text classification using attention-based graph neural network A Pal, M Selvakumar, M Sankarasubbu arXiv preprint arXiv:2003.11644, 2020 | 113 | 2020 |
Pay attention to the cough: Early diagnosis of COVID-19 using interpretable symptoms embeddings with cough sound signal processing A Pal, M Sankarasubbu Proceedings of the 36th Annual ACM Symposium on Applied Computing, 620-628, 2021 | 82 | 2021 |
Federated learning for healthcare domain-pipeline, applications and challenges M Joshi, A Pal, M Sankarasubbu ACM Transactions on Computing for Healthcare 3 (4), 1-36, 2022 | 65 | 2022 |
Med-HALT: Medical Domain Hallucination Test for Large Language Models A Pal, LK Umapathi, M Sankarasubbu arXiv preprint arXiv:2307.15343, 2023 | 44 | 2023 |
Promptify: Structured output from llms A Pal | 6 | 2022 |
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations A Pal, M Sankarasubbu arXiv preprint arXiv:2402.07023, 2024 | 2 | 2024 |
CLIFT: Analysing Natural Distribution Shift on Question Answering Models in Clinical Domain A Pal arXiv preprint arXiv:2310.13146, 2023 | 1 | 2023 |
DeepParliament: A Legal domain Benchmark & Dataset for Parliament Bills Prediction A Pal arXiv preprint arXiv:2211.15424, 2022 | 1 | 2022 |
MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network. A Pal, M Selvakumar, M Sankarasubbu ICAART (2), 494-505, 2020 | | 2020 |