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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.CL2025
Improving LLM Abilities in Idiomatic Translation
Sundesh Donthi, Maximilian Spencer, Om Patel +4
For large language models (LLMs) like NLLB and GPT, translating idioms remains a challenge. Our goal is to enhance translation fidelity by improving LLM processing of idiomatic lan…