1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2025
An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning
Cen-Jhih Li, Aditya Bhaskara
Fine-tuning is an important step in adapting foundation models such as large language models to downstream tasks. To make this step more accessible to users with limited computatio…
cs.DS2013★ 1 cited
Centrality of Trees for Capacitated k-Center
Hyung-Chan An, Aditya Bhaskara, Ola Svensson
There is a large discrepancy in our understanding of uncapacitated and capacitated versions of network location problems. This is perhaps best illustrated by the classical k-center…