3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 3 cited
Investigating Continual Pretraining in Large Language Models: Insights and Implications
Çağatay Yıldız, Nishaanth Kanna Ravichandran, Nitin Sharma +2
Continual learning (CL) in large language models (LLMs) is an evolving domain that focuses on developing efficient and sustainable training strategies to adapt models to emerging k…
cs.LG2023★ 1 cited
On The Fairness Impacts of Hardware Selection in Machine Learning
Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran +2
In the machine learning ecosystem, hardware selection is often regarded as a mere utility, overshadowed by the spotlight on algorithms and data. This oversight is particularly prob…