Malaikannan Sankarasubbu
Orcid: 0000-0002-7160-5133
According to our database1,
Malaikannan Sankarasubbu
authored at least 19 papers
between 2018 and 2024.
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Bibliography
2024
Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate Labels.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
Saama Technologies at EHRSQL 2024: SQL Generation through Classification Answer Selector by LLM.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
2023
Saama AI Research at SemEval-2023 Task 7: Exploring the Capabilities of Flan-T5 for Multi-evidence Natural Language Inference in Clinical Trial Data.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023
2022
ACM Trans. Comput. Heal., 2022
MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering.
Proceedings of the Conference on Health, Inference, and Learning, 2022
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022
2021
Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing.
CoRR, 2021
Pay attention to the cough: early diagnosis of COVID-19 using interpretable symptoms embeddings with cough sound signal processing.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021
2020
CoRR, 2020
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020
2019
Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019
2018
Compositional Attention Networks for Interpretability in Natural Language Question Answering.
CoRR, 2018
CoRR, 2018