11 citations · 11 across the 3 of their papers we have counts for
4 papers · 1 filter
Token Imbalance Adaptation for Radiology Report Generation
Yuexin Wu, I-Chan Huang, Xiaolei Huang
Imbalanced token distributions naturally exist in text documents, leading neural language models to overfit on frequent tokens. The token imbalance may dampen the robustness of rad…
Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification
Yuexin Wu, Xiaolei Huang
Class imbalance naturally exists when train and test models in different domains. Unsupervised domain adaptation (UDA) augments model performance with only accessible annotations f…
Learning to Adapt Domain Shifts of Moral Values via Instance Weighting
Xiaolei Huang, Alexandra Wormley, Adam Cohen
Classifying moral values in user-generated text from social media is critical in understanding community cultures and interpreting user behaviors of social movements. Moral values…
Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification
Xiaolei Huang
Existing approaches to mitigate demographic biases evaluate on monolingual data, however, multilingual data has not been examined. In this work, we treat the gender as domains (e.g…