There is a paper in structured pruning which I think is not related to Model Pruning #35
Description
This Paper: Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models, arXiv, 2024 [Paper]
I believe is using small model to pruning dataset in order to have a better performance in large model training. Should it be grouped into Data Selection scope?
