2 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 2 cited
DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation
Hanqing Zhang, Dawei Song
Prompt learning with immensely large Casual Language Models (CLMs) has been shown promising for attribute-controllable text generation (CTG). However, vanilla prompt tuning tends t…
cs.CL2022★ 2 cited
Sparse Teachers Can Be Dense with Knowledge
Yi Yang, Chen Zhang, Dawei Song
Recent advances in distilling pretrained language models have discovered that, besides the expressiveness of knowledge, the student-friendliness should be taken into consideration…
cs.CL2022★ 2 cited
XPrompt: Exploring the Extreme of Prompt Tuning
Fang Ma, Chen Zhang, Lei Ren +5
Prompt tuning learns soft prompts to condition frozen Pre-trained Language Models (PLMs) for performing downstream tasks in a parameter-efficient manner. While prompt tuning has gr…