🧑‍🔬 Who cites Zeyu Li

185 citations of their works from 185 papers of our library (of the 149,439 whose bibliographies we read) · 41 with a page here, the most cited first · ← Zeyu Li

1. A Survey on Bias and Fairness in Machine LearningACM Computing SurveysNinareh Mehrabi, Fred Morstatter, Nripsuta Saxena, et al.2019 · 5,638 citations
2. 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
3. Mitigating Gender Bias in Natural Language Processing: Literature ReviewAnnual Meeting of the Association for Computational Linguistics (ACL)Tony Sun, Andrew Gaut, Shirlyn Tang, et al.2019 · 724 citations
4. Gender Bias in Contextualized Word EmbeddingsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2019 · 508 citations
5. Null It Out: Guarding Protected Attributes by Iterative Nullspace ProjectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shauli Ravfogel, Yanai Elazar, Hila Gonen, et al.2020 · 488 citations
6. Identifying and Reducing Gender Bias in Word-Level Language ModelsarXiv:1904.03035Shikha Bordia, Samuel R. Bowman2019 · 367 citations
7. Toxicity in chatgpt: Analyzing persona-assigned language modelsFindings of the Association for Computational LinguisticsAmeet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.2023 · 353 citations
8. Gender Bias in Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.2021 · 310 citations
9. Towards Understanding and Mitigating Social Biases in Language ModelsarXiv:2106.13219Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 271 citations
10. Queens are Powerful too: Mitigating Gender Bias in Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Emily Dinan, Angela Fan, Adina Williams, et al.2020 · 270 citations
11. Towards Debiasing Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Pu Liang, Irene Mengze Li, Emily Zheng, et al.2020 · 262 citations
12. Unlearn Dataset Bias in Natural Language Inference by Fitting the ResidualWorkshop on Deep Learning Approaches for Low-Resource NLPHe He, Sheng Zha, Haohan Wang2019 · 260 citations
13. Societal Biases in Language Generation: Progress and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al.2021 · 257 citations
14. Measuring and Reducing Gendered Correlations in Pre-trained ModelsarXiv:2010.06032Kellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 254 citations
15. 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
16. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagearXiv:2208.03188Kurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 241 citations
17. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLParXiv:2103.00453Timo Schick, Sahana Udupa, Hinrich Schutze2021 · 213 citations
18. Auto-Debias: Debiasing Masked Language Models with Automated Biased PromptsAnnual Meeting of the Association for Computational Linguistics (ACL)Yue Guo, Yi Yang, Ahmed Abbasi2022 · 191 citations
19. Debiasing Pre-trained Contextualised EmbeddingsConference of the European Chapter of the Association for Computational Linguistics (EACL)Masahiro Kaneko, Danushka Bollegala2021 · 175 citations
20. Understanding Undesirable Word Embedding AssociationsAnnual Meeting of the Association for Computational Linguistics (ACL)Kawin Ethayarajh, David Duvenaud, Graeme Hirst2019 · 172 citations
21. Towards Controllable Biases in Language GenerationFindings of the Association for Computational LinguisticsEmily Sheng, Kai-Wei Chang, Prem Natarajan, et al.2020 · 171 citations
22. Does Gender Matter? Towards Fairness in Dialogue SystemsInternational Conference on Computational Linguistics (COLING)Haochen Liu, Jamell Dacon, Wenqi Fan, et al.2020 · 133 citations
23. Toward Gender-Inclusive Coreference ResolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Trista Cao, Hal Daumé III2020 · 127 citations
24. Intrinsic Bias Metrics Do Not Correlate with Application BiasAnnual Meeting of the Association for Computational Linguistics (ACL)Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, et al.2021 · 117 citations
25. On the Safety of Conversational Models: Taxonomy, Dataset, and BenchmarkFindings of the Association for Computational LinguisticsHao Sun, Guangxuan Xu, Jiawen Deng, et al.2022 · 102 citations
26. Automatic Gender Identification and Reinflection in ArabicWorkshop on Gender Bias in Natural Language ProcessingNizar Habash, Houda Bouamor, Christine Chung2019 · 75 citations
27. Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle*Computational LinguisticsYang Trista Cao, Hal Daumé III2021 · 72 citations
28. Towards Robustifying NLI Models Against Lexical Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Zhou, Mohit Bansal2020 · 70 citations
29. Bias in Large Language Models: Origin, Evaluation, and MitigationElectronicsYufei Guo, Muzhe Guo, Juntao Su, et al.2024 · 58 citations
30. Sociodemographic Bias in Language Models: A Survey and Forward PathWorkshop on Gender Bias in Natural Language ProcessingVipul Gupta, Pranav Narayanan Venkit, Shomir Wilson, et al.2023 · 40 citations
31. BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP)Aina Garí Soler, Marianna Apidianaki2020 · 30 citations
32. User-Centric Gender RewritingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bashar Alhafni, Nizar Habash, Houda Bouamor2022 · 29 citations
33. The Arabic Parallel Gender Corpus 2.0: Extensions and AnalysesLanguage Resources and Evaluation Conference (LREC)Bashar Alhafni, Nizar Habash, Houda Bouamor2022 · 21 citations
34. Marked Attribute Bias in Natural Language InferenceFindings of the Association for Computational LinguisticsHillary Dawkins2021 · 10 citations
35. Evaluating and Mitigating Inherent Linguistic Bias of African American English through InferenceInternational Conference on Computational Linguistics (COLING)Jamell Dacon, Haochen Liu, Jiliang Tang2022 · 6 citations
36. The User-Aware Arabic Gender RewriterWorkshop on Gender-Inclusive Translation TechnologiesBashar Alhafni, Ossama Obeid, Nizar Habash2023 · 5 citations
37. The Shared Task on Gender RewritingArabic Natural Language Processing Workshop (WANLP)Bashar Alhafni, Nizar Habash, Houda Bouamor, et al.2022 · 3 citations
38. ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Jihong Wang, Jiamu Zhou, Weiming Zhang, et al.2026 · 1 citation
39. Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning ModelsFindings of the Association for Computational LinguisticsHoang Phan, Xianjun Yang, Yuanshun Yao, et al.2026
40. Caged Birds and Cute Bookworms: Feminine Tropes and Implicit Gender Bias in Large Language ModelsWorkshop on Evaluating Evaluations (EvalEval)Sachita Nishal, Jack Bandy2026
41. GKnow: Measuring the Entanglement of Gender Bias and Factual GenderAnnual Meeting of the Association for Computational Linguistics (ACL)Leonor Veloso, Hinrich Schuetze2026

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