🔗 Who cites «On Adversarial Examples for Character-Level Neural Machine Translation»

71 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «On Adversarial Examples for Character-Level Neural Machine Translation»

1. Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Yonatan Belinkov, James Glass2019 · 737 citations
2. Weight Poisoning Attacks on Pretrained ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Keita Kurita, Paul Michel, Graham Neubig2020 · 415 citations
3. Combating Adversarial Misspellings with Robust Word RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton2019 · 389 citations
4. Robust Neural Machine Translation with Doubly Adversarial InputsAnnual Meeting of the Association for Computational Linguistics (ACL)Yong Cheng, Lu Jiang, Wolfgang Macherey2019 · 324 citations
5. Scaling Laws for Reward Model OveroptimizationarXiv:2210.10760Leo Gao, John Schulman, Jacob Hilton2022 · 302 citations
6. An Empirical Survey of Data Augmentation for Limited Data Learning in NLPTransactions of the Association for Computational Linguistics (TACL)Jiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 253 citations
7. On Evaluation of Adversarial Perturbations for Sequence-to-Sequence ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Paul Michel, Xian Li, Graham Neubig, et al.2019 · 162 citations
8. Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 121 citations

63 more papers of our library cite it; they have no page here yet.

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