🔗 Who cites «Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor»

32 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor»

1. Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 14,178 citations
2. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
3. Language (Technology) is Power: A Critical Survey of “Bias” in NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Su Lin Blodgett, Solon Barocas, Hal Daumé III, et al.2020 · 1,716 citations
4. Release Strategies and the Social Impacts of Language ModelsarXiv:1908.09203Irene Solaiman, Miles Brundage, Jack Clark, et al.2019 · 554 citations
5. Gender Bias in Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.2021 · 310 citations
6. Interpreting Pretrained Contextualized Representations via Reductions to Static EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL)Rishi Bommasani, Kelly Davis, Claire Cardie2020 · 250 citations
7. Predictive Biases in Natural Language Processing Models: A Conceptual Framework and OverviewAnnual Meeting of the Association for Computational Linguistics (ACL)Deven Shah, H. Andrew Schwartz, Dirk Hovy2019 · 207 citations
8. HONEST: Measuring Hurtful Sentence Completion in Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Debora Nozza, Federico Bianchi, Dirk Hovy2021 · 191 citations
9. Biased LLMs can Influence Political Decision-MakingAnnual Meeting of the Association for Computational Linguistics (ACL)Jillian Fisher, Shangbin Feng, Robert Aron, et al.2025 · 20 citations

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

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