2 papers
cs.CL2025
Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization
Divya Patel, Vansh Parikh, Om Patel +2
In this work, we apply topic modeling using Non-Negative Matrix Factorization (NMF) on the COVID-19 Open Research Dataset (CORD-19) to uncover the underlying thematic structure and…
cs.CL2024
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!
Divya Patel, Pathik Patel, Ankush Chander +2
Large Language Models (LLMs) have succeeded considerably in In-Context-Learning (ICL) based summarization. However, saliency is subject to the users' specific preference histories.…