most citedTowards Unified Prompt Tuning for Few-shot Text Classification

3 citations · 6 across the 4 of their papers we have counts for

collaborators

1 paper

cs.CL2021

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression

Runxin Xu, Fuli Luo, Chengyu Wang +4

Pre-trained Language Models (PLMs) have achieved great success in various Natural Language Processing (NLP) tasks under the pre-training and fine-tuning paradigm. With large quanti…