236 citations · 263 across the 11 of their papers we have counts for
4 papers · 1 filter
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
Xu Guo, Han Yu
Recent advances in NLP are brought by a range of large-scale pretrained language models (PLMs). These PLMs have brought significant performance gains for a range of NLP tasks, circ…
FIXED: Frustratingly Easy Domain Generalization with Mixup
Wang Lu, Jindong Wang, Han Yu +4
Domain generalization (DG) aims to learn a generalizable model from multiple training domains such that it can perform well on unseen target domains. A popular strategy is to augme…
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Xu Guo, Boyang Li, Han Yu
Prompt tuning, or the conditioning of a frozen pretrained language model (PLM) with soft prompts learned from data, has demonstrated impressive performance on a wide range of NLP t…
Measure-Theoretic Probability of Complex Co-occurrence and E-Integral
Jian-Yong Wang, Han Yu
Complex high-dimensional co-occurrence data are increasingly popular from a complex system of interacting physical, biological and social processes in discretely indexed modifiable…