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Ankit Pal
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2020 – today
- 2024
- [c6]Ankit Pal, Malaikannan Sankarasubbu:
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations. ClinicalNLP@NAACL 2024: 21-46 - [i9]Ankit Pal, Malaikannan Sankarasubbu:
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations. CoRR abs/2402.07023 (2024) - [i8]Gondy Leroy, David Kauchak, Philip Harber, Ankit Pal, Akash Shukla:
Text and Audio Simplification: Human vs. ChatGPT. CoRR abs/2405.01592 (2024) - 2023
- [c5]Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu:
Med-HALT: Medical Domain Hallucination Test for Large Language Models. CoNLL 2023: 314-334 - [i7]Logesh Kumar Umapathi, Ankit Pal, Malaikannan Sankarasubbu:
Med-HALT: Medical Domain Hallucination Test for Large Language Models. CoRR abs/2307.15343 (2023) - [i6]Ankit Pal:
CLIFT: Analysing Natural Distribution Shift on Question Answering Models in Clinical Domain. CoRR abs/2310.13146 (2023) - 2022
- [j1]Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu:
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges. ACM Trans. Comput. Heal. 3(4): 40:1-40:36 (2022) - [c4]Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu:
MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering. CHIL 2022: 248-260 - [c3]Kashan Haider, Prasandeep, Maaz Ahmed, Ankit Pal, Sur Singh Rawat, Vimal Gupta, Rabindra Nath Shaw, Ankush Ghosh:
A Comprehensive Study of Plant Disease Detection Using Deep Learning Methods. ICACIS 2022: 441-458 - [i5]Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu:
MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering. CoRR abs/2203.14371 (2022) - [i4]Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu:
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges. CoRR abs/2211.07893 (2022) - [i3]Ankit Pal:
DeepParliament: A Legal domain Benchmark & Dataset for Parliament Bills Prediction. CoRR abs/2211.15424 (2022) - 2021
- [c2]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: 620-628 - 2020
- [c1]Ankit Pal, Muru Selvakumar, Malaikannan Sankarasubbu:
MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network. ICAART (2) 2020: 494-505 - [i2]Ankit Pal, Muru Selvakumar, Malaikannan Sankarasubbu:
Multi-Label Text Classification using Attention-based Graph Neural Network. CoRR abs/2003.11644 (2020) - [i1]Ankit Pal, Malaikannan Sankarasubbu:
Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing. CoRR abs/2010.02417 (2020)
Coauthor Index
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last updated on 2024-09-28 01:30 CEST by the dblp team
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