Malaikannan Sankarasubbu

Orcid: 0000-0002-7160-5133

According to our database1, Malaikannan Sankarasubbu authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

Saama Technologies at BioLaySumm: Abstract based fine-tuned models with LoRA.
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

Med-HALT: Medical Domain Hallucination Test for Large Language Models.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges.
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

BioSimCSE: BioMedical Sentence Embeddings using Contrastive learning.
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

BioELECTRA: Pretrained Biomedical text Encoder using Discriminators.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

2020
Multi-Label Text Classification using Attention-based Graph Neural Network.
CoRR, 2020

MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019
Detecting Parking Spaces in a Parcel using Satellite Images.
CoRR, 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

PHI Scrubber: A Deep Learning Approach.
CoRR, 2018

Convolutional Neural Networks In Classifying Cancer Through DNA Methylation.
CoRR, 2018


  Loading...