Malaikannan Sankarasubbu

According to our database, Malaikannan Sankarasubbu authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Ankit Pal, Malaikannan Sankarasubbu

CoRR, 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.

Kamal Raj Kanakarajan, Malaikannan Sankarasubbu

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Med-HALT: Medical Domain Hallucination Test for Large Language Models.

Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

2022

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges.

Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu

ACM Trans. Comput. Heal., 2022

MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering.

Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu

Proceedings of the Conference on Health, Inference, and Learning, 2022

BioSimCSE: BioMedical Sentence Embeddings using Contrastive learning.

Kamal Raj Kanakarajan, Bhuvana Kundumani, Abhijith Abraham, Malaikannan Sankarasubbu

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.

Kamal Raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu

CoRR, 2021

Pay attention to the cough: early diagnosis of COVID-19 using interpretable symptoms embeddings with cough sound signal processing.

Ankit Pal, Malaikannan Sankarasubbu

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

BioELECTRA: Pretrained Biomedical text Encoder using Discriminators.

Kamal Raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu

Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

2020

Multi-Label Text Classification using Attention-based Graph Neural Network.

Ankit Pal, Muru Selvakumar, Malaikannan Sankarasubbu

CoRR, 2020

MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network.

Ankit Pal, Muru Selvakumar, Malaikannan Sankarasubbu

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019

Detecting Parking Spaces in a Parcel using Satellite Images.

Murugesan Vadivel, Selvakumar Murugan, Vaidheeswaran Archana, Malaikannan Sankarasubbu

CoRR, 2019

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

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018

Compositional Attention Networks for Interpretability in Natural Language Question Answering.

Selvakumar Murugan, Suriyadeepan Ramamoorthy, Vaidheeswaran Archana, Malaikannan Sankarasubbu

CoRR, 2018

PHI Scrubber: A Deep Learning Approach.

Abhai Kollara Dilip, Kamal Raj K, Malaikannan Sankarasubbu

CoRR, 2018

Convolutional Neural Networks In Classifying Cancer Through DNA Methylation.

Soham Chatterjee, Archana Iyer, Satya Avva, Abhai Kollara, Malaikannan Sankarasubbu

CoRR, 2018