10 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.CL2022★ 3 cited
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning
Tianxiang Sun, Zhengfu He, Qin Zhu +2
Prompt tuning is a parameter-efficient approach to adapting pre-trained language models to downstream tasks. Although prompt tuning has been shown to match the performance of full…
cs.CL2022★ 10 cited
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization
Chenxin An, Ming Zhong, Zhiyong Wu +3
Traditional training paradigms for extractive and abstractive summarization systems always only use token-level or sentence-level training objectives. However, the output summary i…