PHI Scrubber: A Deep Learning Approach. - Abhai Kollara Dilip; Kamal Raj K; Malaikannan Sankarasubbu (CoRR, 2018)

Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference. - Kamal Raj Kanakarajan; Suriyadeepan Ramamoorthy; Vaidheeswaran Archana; Soham Chatterjee; Malaikannan Sankarasubbu (BioNLP@ACL, 2019)

BioELECTRA: Pretrained Biomedical text Encoder using Discriminators. - Kamal Raj Kanakarajan; Bhuvana Kundumani; Malaikannan Sankarasubbu (BioNLP@NAACL-HLT, 2021)

Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing. - Kamal Raj Kanakarajan; Bhuvana Kundumani; Malaikannan Sankarasubbu (CoRR, 2021)

BioSimCSE: BioMedical Sentence Embeddings using Contrastive learning. - Kamal Raj Kanakarajan; Bhuvana Kundumani; Abhijith Abraham; Malaikannan Sankarasubbu (LOUHI@EMNLP, 2022)

Saama AI Research at SemEval-2023 Task 7: Exploring the Capabilities of Flan-T5 for Multi-evidence Natural Language Inference in Clinical Trial Data. - Kamal Raj Kanakarajan; Malaikannan Sankarasubbu (SemEval@ACL, 2023)

Saama Technologies at EHRSQL 2024: SQL Generation through Classification Answer Selector by LLM. - Mohammed Jabir; Kamal Raj Kanakarajan; Malaikannan Sankarasubbu (ClinicalNLP@NAACL, 2024)

Saama Technologies at BioLaySumm: Abstract based fine-tuned models with LoRA. - Hwanmun Kim; Kamal Raj Kanakarajan; Malaikannan Sankarasubbu (BioNLP@ACL, 2024)

Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate Labels. - Hwanmun Kim; Kamal Raj Kanakarajan; Malaikannan Sankarasubbu (SemEval@NAACL, 2024)