Hongye SONG

Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization

Prompt tuning is a parameter-efficient method, which learns soft prompts and conditions frozen language models to perform specific downstream tasks. Though effective, prompt tuning under few-shot settings on the one hand heavily relies on a good initialization of soft prompts. On the other hand, it…