R-AT: Regularized Adversarial Training for Natural Language Understanding - researchr publication authors

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Shiwen Ni, Jiawen Li, Hung-Yu Kao. R-AT: Regularized Adversarial Training for Natural Language Understanding. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022. pages 6427-6440, Association for Computational Linguistics, 2022. [doi]

This author has not been identified. Look up 'Shiwen Ni' in GoogleThis author has not been identified. Look up 'Jiawen Li' in GoogleThis author has not been identified. Look up 'Hung-Yu Kao' in Google

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