| BioELECTRA: pretrained biomedical text encoder using discriminators KR Kanakarajan, B Kundumani, M Sankarasubbu Proceedings of the 20th workshop on biomedical language processing, 143-154, 2021 | 131 | 2021 |
| Saama AI Research at SemEval-2023 Task 7: Exploring the Capabilities of Flan-T5 for Multi-evidence Natural Language Inference in Clinical Trial Data KR Kanakarajan, M Sankarasubbu Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | 17 | 2023 |
| BioSimCSE: BioMedical sentence embeddings using contrastive learning KR Kanakarajan, B Kundumani, A Abraham, M Sankarasubbu Proceedings of the 13th International Workshop on Health Text Mining and …, 2022 | 6 | 2022 |
| Small-bench nlp: Benchmark for small single gpu trained models in natural language processing KR Kanakarajan, B Kundumani, M Sankarasubbu arXiv preprint arXiv:2109.10847, 2021 | 6 | 2021 |
| Saama research at mediqa 2019: Pre-trained biobert with attention visualisation for medical natural language inference KR Kanakarajan, S Ramamoorthy, V Archana, S Chatterjee, ... Proceedings of the 18th BioNLP Workshop and Shared Task, 510-516, 2019 | 6 | 2019 |
| Saama technologies at biolaysumm: Abstract based fine-tuned models with lora H Kim, KR Kanakarajan, M Sankarasubbu Proceedings of the 23rd Workshop on Biomedical Natural Language Processing …, 2024 | 1 | 2024 |
| PHI Scrubber: A Deep Learning Approach AK Dilip, M Sankarasubbu arXiv preprint arXiv:1808.01128, 2018 | 1 | 2018 |
| Saama technologies at ehrsql 2024: Sql generation through classification answer selector by llm M Jabir, K Kanakarajan, M Sankarasubbu Proceedings of the 6th Clinical Natural Language Processing Workshop, 655-671, 2024 | | 2024 |
| Saama technologies at semeval-2024 task 2: Three-module system for nli4ct enhanced by llm-generated intermediate labels H Kim, KR Kanakarajan, M Sankarasubbu Proceedings of the 18th International Workshop on Semantic Evaluation …, 2024 | | 2024 |
Malaikannan SankarasubbuChief Technology Officer確認したメール アドレス: saama.com