Yiming Shao

Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition

Parameter-Efficient Fine-Tuning (PEFT) is a promising approach to mitigate the challenges about the model adaptation of pretrained language models (PLMs) for the named entity recognition (NER) task. Recent studies have highlighted the improvements that can be made to the quality of information retri…