5 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Compressing Large Language Models using Low Rank and Low Precision Decomposition
Rajarshi Saha, Naomi Sagan, Varun Srivastava +2
The prohibitive sizes of Large Language Models (LLMs) today make it difficult to deploy them on memory-constrained edge devices. This work introduces -- a new post-tr…
cs.LG2023★ 5 cited
Matrix Compression via Randomized Low Rank and Low Precision Factorization
Rajarshi Saha, Varun Srivastava, Mert Pilanci
Matrices are exceptionally useful in various fields of study as they provide a convenient framework to organize and manipulate data in a structured manner. However, modern matrices…