2022
AMAL: Meta Knowledge-Driven Few-Shot Adapter Learning
EMNLP 2022main
NLP has advanced greatly together with the proliferation of Transformer-based pre-trained language models. To adapt to a downstream task, the pre-trained language models need to be fine-tuned with a sufficient supply of annotated examples. In recent years, Adapter-based fine-tuning methods have expa…