🔗 Who cites «Explaining NLP Models via Minimal Contrastive Editing (MiCE)»

68 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Explaining NLP Models via Minimal Contrastive Editing (MiCE)»

Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,552 citations
Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and TechnologyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 785 citations
Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tal Schuster, Adam Fisch, Regina Barzilay2021 · 289 citations
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.2021 · 272 citations
Tailor: Generating and Perturbing Text with Semantic ControlsAnnual Meeting of the Association for Computational Linguistics (ACL)Alexis Ross, Tongshuang Wu, Hao Peng, et al.2022 · 93 citations
Faithfulness Tests for Natural Language ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL)Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, et al.2023 · 92 citations

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

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