2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2023
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts
Shwai He, Run-Ze Fan, Liang Ding +3
Scaling the size of language models usually leads to remarkable advancements in NLP tasks. But it often comes with a price of growing computational cost. Although a sparse Mixture…
cs.CL2022★ 2 cited
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters
Shwai He, Liang Ding, Daize Dong +2
Adapter Tuning, which freezes the pretrained language models (PLMs) and only fine-tunes a few extra modules, becomes an appealing efficient alternative to the full model fine-tunin…