🔗 Who cites «On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference»

39 papers of our library cite it (of the 141,840 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference»

1. Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution PerformancePrasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych2020 · 159 citations
2. GLUCOSE: GeneraLized and COntextualized Story ExplanationsNasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al.2020 · 144 citations
3. Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy2021 · 141 citations
4. Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceYonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 121 citations
5. End-to-End Bias Mitigation by Modelling Biases in CorporaRabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson2020 · 107 citations
6. Look at the First Sentence: Position Bias in Question AnsweringMiyoung Ko, Jinhyuk Lee, Hyunjae Kim, et al.2020 · 102 citations
7. Generating Data to Mitigate Spurious Correlations in Natural Language Inference DatasetsYuxiang Wu, Matt Gardner, Pontus Stenetorp, et al.2022 · 98 citations
8. Towards Robustifying NLI Models Against Lexical Dataset BiasesXiang Zhou, Mohit Bansal2020 · 70 citations
9. Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial TrainingJoe Stacey, Pasquale Minervini, Haim Dubossarsky, et al.2020 · 67 citations
10. An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceTianyu Liu, Xin Zheng, Xiaoan Ding, et al.2020 · 36 citations
11. FANCY: A Diagnostic Data-Set for NLI ModelsGuido Rocchietti, Flavia Achena, Giuseppe Marziano, et al.2021 · 4 citations

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

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