Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning

Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu 0001, Yasheng Wang, Qun Liu, Maosong Sun. Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning. In Chengqing Zong, Fei Xia, Wenjie Li 0002, Roberto Navigli, editors, Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021. pages 1569-1576, Association for Computational Linguistics, 2021. [doi]

@inproceedings{SiZQLWLS21,
  title = {Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning},
  author = {Chenglei Si and Zhengyan Zhang and Fanchao Qi and Zhiyuan Liu 0001 and Yasheng Wang and Qun Liu and Maosong Sun},
  year = {2021},
  url = {https://aclanthology.org/2021.findings-acl.137},
  researchr = {https://researchr.org/publication/SiZQLWLS21},
  cites = {0},
  citedby = {0},
  pages = {1569-1576},
  booktitle = {Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021},
  editor = {Chengqing Zong and Fei Xia and Wenjie Li 0002 and Roberto Navigli},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-54-1},
}