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cs.CL2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
Lan Jiang, Hao Zhou, Yankai Lin +3
Even though the large-scale language models have achieved excellent performances, they suffer from various adversarial attacks. A large body of defense methods has been proposed. H…
cs.CL2019
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
Hongyin Luo, Lan Jiang, Yonatan Belinkov +1
Common language models typically predict the next word given the context. In this work, we propose a method that improves language modeling by learning to align the given context a…