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Rethinking Pruning Large Language Models: Benefits and Pitfalls of
  Reconstruction Error Minimization

Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization

21 June 2024
Sungbin Shin
Wonpyo Park
Jaeho Lee
Namhoon Lee
ArXivPDFHTML

Papers citing "Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization"

2 / 2 papers shown
Title
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
128
679
0
31 Jan 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1