2021
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
ACL 2021long
Adapter-based tuning has recently arisen as an alternative to fine-tuning. It works by adding light-weight adapter modules to a pretrained language model (PrLM) and only updating the parameters of adapter modules when learning on a downstream task. As such, it adds only a few trainable parameters pe…