2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024
IndiText Boost: Text Augmentation for Low Resource India Languages
Onkar Litake, Niraj Yagnik, Shreyas Labhsetwar
Text Augmentation is an important task for low-resource languages. It helps deal with the problem of data scarcity. A data augmentation strategy is used to deal with the problem of…
cs.CL2024★ 2 cited
MedLM: Exploring Language Models for Medical Question Answering Systems
Niraj Yagnik, Jay Jhaveri, Vivek Sharma +1
In the face of rapidly expanding online medical literature, automated systems for aggregating and summarizing information are becoming increasingly crucial for healthcare professio…