Chuyun Deng, Mingxuan Liu, Yue Qin, Jia Zhang, Hai-Xin Duan, Donghong Sun. ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 1735-1746, Association for Computational Linguistics, 2022. [doi]
@inproceedings{DengLQZDS22,
title = {ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model},
author = {Chuyun Deng and Mingxuan Liu and Yue Qin and Jia Zhang and Hai-Xin Duan and Donghong Sun},
year = {2022},
url = {https://aclanthology.org/2022.naacl-main.125},
researchr = {https://researchr.org/publication/DengLQZDS22},
cites = {0},
citedby = {0},
pages = {1735-1746},
booktitle = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
publisher = {Association for Computational Linguistics},
isbn = {978-1-955917-71-1},
}