Convolutional Neural Networks In Classifying Cancer Through DNA Methylation. - Soham Chatterjee; Archana Iyer; Satya Avva; Abhai Kollara; Malaikannan Sankarasubbu (CoRR, 2018)

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

Compositional Attention Networks for Interpretability in Natural Language Question Answering. - Selvakumar Murugan; Suriyadeepan Ramamoorthy; Vaidheeswaran Archana; 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)

Detecting Parking Spaces in a Parcel using Satellite Images. - Murugesan Vadivel; Selvakumar Murugan; Vaidheeswaran Archana; Malaikannan Sankarasubbu (CoRR, 2019)

MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network. - Ankit Pal; Muru Selvakumar; Malaikannan Sankarasubbu (ICAART (2), 2020)

Multi-Label Text Classification using Attention-based Graph Neural Network. - Ankit Pal; Muru Selvakumar; Malaikannan Sankarasubbu (CoRR, 2020)

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

Pay attention to the cough: early diagnosis of COVID-19 using interpretable symptoms embeddings with cough sound signal processing. - Ankit Pal; Malaikannan Sankarasubbu (SAC, 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)

MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering. - Ankit Pal; Logesh Kumar Umapathi; Malaikannan Sankarasubbu (CHIL, 2022)

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges. - Madhura Joshi; Ankit Pal; Malaikannan Sankarasubbu (ACM Trans. Comput. Heal., 2022)

Med-HALT: Medical Domain Hallucination Test for Large Language Models. - Ankit Pal; Logesh Kumar Umapathi; Malaikannan Sankarasubbu (CoNLL, 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. - 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)

Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations. - Ankit Pal; 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)

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding. - Ankit Pal; Jung-Oh Lee; Xiaoman Zhang; Malaikannan Sankarasubbu; Seunghyeon Roh; Won Jung Kim; Meesun Lee; Pranav Rajpurkar (CoRR, 2025)