🧑‍🔬 Who cites Yuxin Huang

246 citations of their works from 246 papers of our library (of the 149,439 whose bibliographies we read) · 47 with a page here, the most cited first · ← Yuxin Huang

1. 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
2. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Chan Young Park, Yuhan Liu, et al.2023 · 311 citations
3. Gender Bias in Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.2021 · 310 citations
4. Challenges and Strategies in Cross-Cultural NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Hershcovich, Stella Frank, Heather Lent, et al.2022 · 292 citations
5. Towards Understanding and Mitigating Social Biases in Language ModelsarXiv:2106.13219Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 271 citations
6. 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
7. 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
8. 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
9. 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
10. Automatic Detection of Machine Generated Text: A Critical SurveyInternational Conference on Computational Linguistics (COLING)Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.2020 · 247 citations
11. Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language TechnologiesConference on Empirical Methods in Natural Language Processing (EMNLP)Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, et al.2021 · 230 citations
12. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
13. HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and InclusionProceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social MediaBharathi Raja Chakravarthi2020 · 211 citations
14. 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
15. Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemAnnual Meeting of the Association for Computational Linguistics (ACL)Danielle Saunders, Bill Byrne2020 · 198 citations
16. Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Eva Vanmassenhove, Dimitar Shterionov, Matthew Gwilliam2021 · 162 citations
17. Measure and Improve Robustness in NLP Models: A SurveyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
18. UNQOVERing Stereotyping Biases via Underspecified QuestionsFindings of the Association for Computational LinguisticsTao Li, Daniel Khashabi, Tushar Khot, et al.2020 · 145 citations
19. Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness MetricsTransactions of the Association for Computational Linguistics (TACL)Paula Czarnowska, Yogarshi Vyas, Kashif Shah2021 · 133 citations
20. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual SettingsBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsZeerak Talat, Aurélie Névéol, Stella Biderman, et al.2022 · 130 citations
21. Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender BiasWorkshop on Gender Bias in Natural Language ProcessingMarion Bartl, Malvina Nissim, Albert Gatt2020 · 116 citations
22. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
23. Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE CorpusAnnual Meeting of the Association for Computational Linguistics (ACL)Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, et al.2020 · 100 citations
24. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the ArtTransactions of the Association for Computational Linguistics (TACL)Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen2025 · 90 citations
25. Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.2023 · 90 citations
26. Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make ItWorkshop on Gender Bias in Natural Language ProcessingDanielle Saunders, Rosie Sallis, Bill Byrne2020 · 85 citations
27. They, Them, Theirs: Rewriting with Gender-Neutral EnglisharXiv:2102.06788Tony Sun, Kellie Webster, Apu Shah, et al.2021 · 72 citations
28. Bias in Large Language Models: Origin, Evaluation, and MitigationElectronicsYufei Guo, Muzhe Guo, Juntao Su, et al.2024 · 58 citations
29. 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
30. Modeling Gender and Dialect Bias in Automatic Speech RecognitionFindings of the Association for Computational LinguisticsCamille Harris, Chijioke Mgbahurike, Neha Kumar, et al.2024 · 31 citations
31. User-Centric Gender RewritingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bashar Alhafni, Nizar Habash, Houda Bouamor2022 · 29 citations
32. “Fifty Shades of Bias”: Normative Ratings of Gender Bias in GPT Generated English TextConference on Empirical Methods in Natural Language Processing (EMNLP)Rishav Hada, Agrima Seth, Harshita Diddee, et al.2023 · 27 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. Improving Arabic Diacritization by Learning to Diacritize and TranslateInternational Conference on Spoken Language Translation (IWSLT)Brian Thompson, Ali Alshehri2022 · 12 citations
35. Speciesist Language and Nonhuman Animal Bias in English Masked Language ModelsInformation Processing & ManagementMasashi Takeshita, Rafal Rzepka, Kenji Araki2022 · 11 citations
36. Marked Attribute Bias in Natural Language InferenceFindings of the Association for Computational LinguisticsHillary Dawkins2021 · 10 citations
37. Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?Workshop on Innovative Use of NLP for Building Educational Applications (BEA)Alexander Kwako, Yixin Wan, Jieyu Zhao, et al.2023 · 8 citations
38. Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous PronounsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, et al.2023 · 5 citations
39. The User-Aware Arabic Gender RewriterWorkshop on Gender-Inclusive Translation TechnologiesBashar Alhafni, Ossama Obeid, Nizar Habash2023 · 5 citations
40. Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only ArchitecturesLanguage Resources and Evaluation Conference (LREC)Chiara Manna, Hosein Mohebbi, Afra Alishahi, et al.2026 · 3 citations
41. The Shared Task on Gender RewritingArabic Natural Language Processing Workshop (WANLP)Bashar Alhafni, Nizar Habash, Houda Bouamor, et al.2022 · 3 citations
42. Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage ProfessionalsCHI Conference on Human Factors in Computing SystemsLucy Havens, Benjamin Bach, Melissa Terras, et al.2025 · 2 citations
43. IHLC@LT-EDI 2026: Steering Toward Inclusivity - A Representation Engineering for Gender-Neutral RewritingWorkshop on Language Technology for Equality, Diversity, InclusionAkhil Rajeev P, Manoj Balaji Jagadeeshan2026 · 1 citation
44. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentLanguage Resources and Evaluation Conference (LREC)Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
45. QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion TaskFindings of the Association for Computational LinguisticsMae Sosto, Delfina S. Martinez Pandiani, Laura Hollink2026
46. Rethinking Gender Annotation for Bias Evaluation in Machine Translation: Can LLMs Improve Reliability?Workshop on Gender-Inclusive Translation TechnologiesChiara Manna, Argentina Anna Rescigno, Eva Vanmassenhove2026
47. Toward Dialect-Aware Safety Evaluation for Arabic Large Language ModelsWorkshop on Trustworthy NLPWajdi Zaghouani2026

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