🧑‍🔬 Who cites Diba Mirza

291 citations of their works from 285 papers of our library (of the 141,840 whose bibliographies we read) · 40 with a page here, the most cited first · ← Diba Mirza

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 · 1,703 citations
2. Gender Bias in Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.2021 · 310 citations
3. 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 · 306 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 · 290 citations
5. 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 · 266 citations
6. Towards Understanding and Mitigating Social Biases in Language ModelsarXiv:2106.13219Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 265 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 · 259 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 · 253 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 · 248 citations
10. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkFindings of the Association for Computational LinguisticsOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 245 citations
11. Automatic Detection of Machine Generated Text: A Critical SurveyInternational Conference on Computational Linguistics (COLING)Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.2020 · 245 citations
12. 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 · 228 citations
13. 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 · 220 citations
14. 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
15. 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 · 202 citations
16. Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemAnnual Meeting of the Association for Computational Linguistics (ACL)Danielle Saunders, Bill Byrne2020 · 196 citations
17. Challenges in Automated Debiasing for Toxic Language DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.2021 · 190 citations
18. 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 · 161 citations
19. 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
20. UNQOVERing Stereotyping Biases via Underspecified QuestionsFindings of the Association for Computational LinguisticsTao Li, Daniel Khashabi, Tushar Khot, et al.2020 · 145 citations
21. Detoxifying Language Models Risks Marginalizing Minority VoicesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Albert Xu, Eshaan Pathak, Eric Wallace, et al.2021 · 135 citations
22. 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 · 131 citations
23. 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
24. Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender BiasWorkshop on Gender Bias in Natural Language ProcessingMarion Bartl, Malvina Nissim, Albert Gatt2020 · 115 citations
25. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
26. 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
27. 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 · 89 citations
28. NLPositionality: Characterizing Design Biases of Datasets and ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Sebastin Santy, Jenny Liang, Ronan Le Bras, et al.2023 · 88 citations
29. 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 · 87 citations
30. 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 · 86 citations
31. They, Them, Theirs: Rewriting with Gender-Neutral EnglisharXiv:2102.06788Tony Sun, Kellie Webster, Apu Shah, et al.2021 · 71 citations
32. VALUE: Understanding Dialect Disparity in NLUCaleb Ziems, Jiaao Chen, Camille Harris, et al.2022 · 65 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. The User-Aware Arabic Gender RewriterWorkshop on Gender-Inclusive Translation TechnologiesBashar Alhafni, Ossama Obeid, Nizar Habash2023 · 5 citations
38. 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
39. 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
40. 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

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