🔗 Who cites «It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations»

46 papers of our library cite it (of the 141,840 whose bibliographies we read) · 10 with a page here, the most cited first · ← back to «It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations»

1. TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLPJohn X. Morris, Eli Lifland, Jin Yong Yoo, et al.2020 · 858 citations
2. An Empirical Survey of Data Augmentation for Limited Data Learning in NLPJiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 253 citations
3. Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyAnay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al.2023 · 245 citations
4. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 207 citations
5. Measure and Improve Robustness in NLP Models: A SurveyXuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
6. Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness MetricsPaula Czarnowska, Yogarshi Vyas, Kashif Shah2021 · 131 citations
7. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual SettingsZeerak Talat, Aurélie Névéol, Stella Biderman, et al.2022 · 130 citations
8. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 85 citations
9. VALUE: Understanding Dialect Disparity in NLUCaleb Ziems, Jiaao Chen, Camille Harris, et al.2022 · 65 citations
10. Speciesist Language and Nonhuman Animal Bias in English Masked Language ModelsMasashi Takeshita, Rafal Rzepka, Kenji Araki2022 · 11 citations

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/tan-2020-it-s-morphin-time-combating/cited-by/