2024
Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-learning
NAACL 2024findings
This work addresses source-free domain adaptation (SFDA) for Question Answering (QA), wherein a model trained on a source domain is adapted to unlabeled target domains without additional source data. Existing SFDA methods only focus on the adaptation phase, overlooking the impact of source domain tr…