3 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 3 cited
CMD: a framework for Context-aware Model self-Detoxification
Zecheng Tang, Keyan Zhou, Juntao Li +5
Text detoxification aims to minimize the risk of language models producing toxic content. Existing detoxification methods of directly constraining the model output or further train…
cs.CL2023★ 3 cited
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
Hai Ye, Yuyang Ding, Juntao Li +1
A deployed question answering (QA) model can easily fail when the test data has a distribution shift compared to the training data. Robustness tuning (RT) methods have been widely…
cs.CL2022★ 3 cited
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training
Dan Qiao, Chenchen Dai, Yuyang Ding +4
The conventional success of textual classification relies on annotated data, and the new paradigm of pre-trained language models (PLMs) still requires a few labeled data for downst…