20 citations · 63 across the 4 of their papers we have counts for
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cs.CL2021★ 15 cited
CPM-2: Large-scale Cost-effective Pre-trained Language Models
Zhengyan Zhang, Yuxian Gu, Xu Han +16
In recent years, the size of pre-trained language models (PLMs) has grown by leaps and bounds. However, efficiency issues of these large-scale PLMs limit their utilization in real-…
cs.CL2021★ 13 cited
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
Fanchao Qi, Mukai Li, Yangyi Chen +4
Backdoor attacks are a kind of insidious security threat against machine learning models. After being injected with a backdoor in training, the victim model will produce adversary-…
cs.CL2020★ 20 cited
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning
Chenglei Si, Zhengyan Zhang, Fanchao Qi +4
Pretrained language models (PLMs) perform poorly under adversarial attacks. To improve the adversarial robustness, adversarial data augmentation (ADA) has been widely adopted to co…