Malaikannan Sankarasubbu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Natural Language

Question Answering

Dna Copy Number

Top Venues

Publications

Ankit Pal, Malaikannan Sankarasubbu
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations. CoRR (2024)
Logesh Kumar Umapathi, Ankit Pal, Malaikannan Sankarasubbu
Med-HALT: Medical Domain Hallucination Test for Large Language Models. CoRR (2023)
Kamal Raj Kanakarajan, Malaikannan Sankarasubbu
Saama AI Research at SemEval-2023 Task 7: Exploring the Capabilities of Flan-T5 for Multi-evidence Natural Language Inference in Clinical Trial Data. SemEval@ACL (2023)
Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
Med-HALT: Medical Domain Hallucination Test for Large Language Models. CoNLL (2023)
Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering. CoRR (2022)
Kamal Raj Kanakarajan, Bhuvana Kundumani, Abhijith Abraham, Malaikannan Sankarasubbu
BioSimCSE: BioMedical Sentence Embeddings using Contrastive learning. LOUHI@EMNLP (2022)
Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges. ACM Trans. Comput. Heal. 3 (4) (2022)
Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges. CoRR (2022)
Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering. CHIL (2022)
Ankit Pal, Malaikannan Sankarasubbu
Pay attention to the cough: early diagnosis of COVID-19 using interpretable symptoms embeddings with cough sound signal processing. SAC (2021)
Kamal Raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu
Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing. CoRR (2021)
Kamal Raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu
BioELECTRA: Pretrained Biomedical text Encoder using Discriminators. BioNLP@NAACL-HLT (2021)
Ankit Pal, Muru Selvakumar, Malaikannan Sankarasubbu
Multi-Label Text Classification using Attention-based Graph Neural Network. CoRR (2020)
Ankit Pal, Muru Selvakumar, Malaikannan Sankarasubbu
MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network. ICAART (2) (2020)
Ankit Pal, Malaikannan Sankarasubbu
Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing. CoRR (2020)
Kamal Raj Kanakarajan, Suriyadeepan Ramamoorthy, Vaidheeswaran Archana, Soham Chatterjee, Malaikannan Sankarasubbu
Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference. BioNLP@ACL (2019)
Murugesan Vadivel, Selvakumar Murugan, Vaidheeswaran Archana, Malaikannan Sankarasubbu
Detecting Parking Spaces in a Parcel using Satellite Images. CoRR (2019)
Abhai Kollara Dilip, Kamal Raj K, Malaikannan Sankarasubbu
PHI Scrubber: A Deep Learning Approach. CoRR (2018)
Selvakumar Murugan, Suriyadeepan Ramamoorthy, Vaidheeswaran Archana, Malaikannan Sankarasubbu
Compositional Attention Networks for Interpretability in Natural Language Question Answering. CoRR (2018)
Soham Chatterjee, Archana Iyer, Satya Avva, Abhai Kollara, Malaikannan Sankarasubbu
Convolutional Neural Networks In Classifying Cancer Through DNA Methylation. CoRR (2018)