🧑‍🔬 Who cites Lisa Green

200 citations of their works from 193 papers of our library (of the 149,439 whose bibliographies we read) · 60 with a page here, the most cited first · ← Lisa Green

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 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. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsFindings of the Association for Computational LinguisticsSamuel Gehman, Suchin Gururangan, Maarten Sap, et al.2020 · 1,306 citations
4. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
5. The Risk of Racial Bias in Hate Speech DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Maarten Sap, Dallas Card, Saadia Gabriel, et al.2019 · 1,164 citations
6. Social Bias Frames: Reasoning about Social and Power Implications of LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Maarten Sap, Saadia Gabriel, Lianhui Qin, et al.2020 · 684 citations
7. Racial Bias in Hate Speech and Abusive Language Detection DatasetsWorkshop on Abusive Language OnlineThomas Davidson, Debasmita Bhattacharya, Ingmar Weber2019 · 583 citations
8. Examining Gender and Race Bias in Two Hundred Sentiment Analysis SystemsJoint Conference on Lexical and Computational Semantics (*SEM)Svetlana Kiritchenko, Saif Mohammad2018 · 579 citations
9. Style Transfer Through Back-TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al.2018 · 558 citations
10. 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
11. Ethical and social risks of harm from Language ModelsarXiv:2112.04359Laura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 456 citations
12. Gender and Dialect Bias in YouTube's Automatic CaptionsACL Workshop on Ethics in Natural Language ProcessingRachael Tatman2017 · 423 citations
13. Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language DetectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Maarten Sap, Swabha Swayamdipta, Laura Vianna, et al.2022 · 367 citations
14. Adversarial Removal of Demographic Attributes from Text DataConference on Empirical Methods in Natural Language Processing (EMNLP)Yanai Elazar, Yoav Goldberg2018 · 359 citations
15. Reformulating Unsupervised Style Transfer as Paraphrase GenerationKalpesh Krishna, John Wieting, Mohit Iyyer2020 · 350 citations
16. Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT modelPLoS ONEMarzieh Mozafari, Reza Farahbakhsh, Noel Crespi2020 · 305 citations
17. The Importance of Modeling Social Factors of Language: Theory and PracticeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dirk Hovy, Diyi Yang2021 · 238 citations
18. Challenges in Detoxifying Language ModelsFindings of the Association for Computational LinguisticsJohannes Welbl, Amelia Glaese, Jonathan Uesato, et al.2021 · 213 citations
19. 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 · 191 citations
20. Mapping the Americanization of English in Space and TimePLoS ONEBruno Gonçalves, Lucia Loureiro-Porto, Jose J. Ramasco, et al.2017 · 157 citations
21. 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
22. The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text AnonymizationComputational LinguisticsIldikó Pilán, Pierre Lison, Lilja Øvrelid, et al.2022 · 131 citations
23. Overcoming Language Variation in Sentiment Analysis with Social AttentionTransactions of the Association for Computational Linguistics (TACL)Yi Yang, Jacob Eisenstein2017 · 119 citations
24. Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American EnglisharXiv:1707.00061Su Lin Blodgett, Brendan O'Connor2017 · 105 citations
25. Investigating African-American Vernacular English in Transformer-Based Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sophie Groenwold, Lily Ou, Aesha Parekh, et al.2020 · 99 citations
26. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
27. Twitter Universal Dependency Parsing for African-American and Mainstream American EnglishSu Lin Blodgett, Johnny Wei, Brendan O'Connor2018 · 92 citations
28. VALUE: Understanding Dialect Disparity in NLUCaleb Ziems, Jiaao Chen, Camille Harris, et al.2022 · 67 citations
29. Arabic Dialect Identification in the Context of Bivalency and Code-SwitchingLanguage Resources and Evaluation Conference (LREC)Mahmoud El-Haj, Paul Rayson, Mariam Aboelezz2018 · 60 citations
30. Dialect prejudice predicts AI decisions about people's character, employability, and criminalityarXiv:2403.00742Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, et al.2024 · 57 citations
31. Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human PerceptionInternational Conference on Computational Linguistics (COLING)Luyang Lin, Lingzhi Wang, Jinsong Guo, et al.2025 · 44 citations
32. Paloma: A Benchmark for Evaluating Language Model FitConference on Neural Information Processing Systems (NeurIPS)Ian Magnusson, Akshita Bhagia, Valentin Hofmann, et al.2023 · 42 citations
33. 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
34. Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble FrameworkarXiv:2109.13137Matan Halevy, Camille Harris, Amy Bruckman, et al.2021 · 38 citations
35. A Dataset and Classifier for Recognizing Social Media EnglishWorkshop on Noisy User-generated TextSu Lin Blodgett, Johnny Wei, Brendan O'Connor2017 · 36 citations
36. Towards a Deep Multi-layered Dialectal Language Analysis: A Case Study of African-American EnglishWorkshop on Bridging Human–Computer Interaction and Natural Language ProcessingJamell Dacon2022 · 13 citations
37. Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English VarietiesWorkshop on NLP Applications to Field LinguisticsTessa Masis, Anissa Neal, Lisa Green, et al.2022 · 10 citations
38. Perceptions of Language Technology Failures from South Asian English SpeakersFindings of the Association for Computational LinguisticsFaye Holt, William Held, Diyi Yang2024 · 9 citations
39. A Comprehensive View of the Biases of Toxicity and Sentiment Analysis Methods Towards Utterances with African American English ExpressionsarXiv:2401.12720Guilherme H. Resende, Luiz F. Nery, Fabricio Benevenuto, et al.2024 · 8 citations
40. Towards Augmenting Lexical Resources for Slang and African American EnglishWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Alyssa Hwang, William R. Frey, Kathleen McKeown2020 · 8 citations
41. Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning BenchmarksFindings of the Association for Computational LinguisticsEileen Pan, Anna Seo Gyeong Choi, Maartje Ter Hoeve, et al.2025 · 6 citations
42. 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
43. Analysis of LLM as a grammatical feature tagger for African American EnglishFindings of the Association for Computational LinguisticsRahul Porwal, Alice Rozet, Jotsna Gowda, et al.2025 · 4 citations
44. Leveraging Syntactic Dependencies in Disambiguation: The Case of African American EnglishLanguage Resources and Evaluation Conference (LREC)Wilermine Previlon, Alice Rozet, Jotsna Gowda, et al.2024 · 4 citations
45. My LLM might Mimic AAE - But When Should It?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sandra Camille Sandoval, Christabel Acquaye, Kwesi Adu Cobbina, et al.2025 · 3 citations
46. Attention to Non-AdoptersFindings of the Association for Computational LinguisticsKaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.2026 · 1 citation
47. Cultural Benchmarking of LLMs in Standard and Dialectal Arabic DialoguesAnnual Meeting of the Association for Computational Linguistics (ACL)Muhammad Dehan Al Kautsar, Saeed Almheiri, Momina Ahsan, et al.2026 · 1 citation
48. Modeling Cultural and Subcultural Variation in Code-Switched Discourse with Topic AnnotationWorkshop on Cross-Cultural Considerations in NLPNemika Tyagi, Nelvin Licona-Guevara, Olga Kellert2026 · 1 citation
49. Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular EnglisharXiv:2511.10846Rebecca Dorn, Christina Chance, Casandra Rusti, et al.2025 · 1 citation
50. OLEA: Tool and Infrastructure for Offensive Language Error Analysis in EnglishConference of the European Chapter of the Association for Computational Linguistics (EACL)Marie Grace, Jay Seabrum, Dananjay Srinivas, et al.2023 · 1 citation
51. DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English DialectsAnnual Meeting of the Association for Computational Linguistics (ACL)Jason S Lucas, Matt Murtagh White, Ali Al-Lawati, et al.2026
52. Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual DataLanguage Resources and Evaluation Conference (LREC)Christian Schuler, Raman Ahmad, Ānrán Wáng, et al.2026
53. DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect AdaptationarXiv:2607.07669Jordan Painter, Dipankar Srirag, Adarsh Kappiyath, et al.2026
54. Evaluating the Usage of African-American Vernacular English in Large Language ModelsarXiv:2602.21485Deja Dunlap, R. Thomas McCoy2026
55. How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM PipelinearXiv:2604.04204Mir Tafseer Nayeem, Davood Rafiei2026
56. LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation SteeringarXiv:2607.06845Huan Wu, Ali Emami, Muhammad Furquan Hassan, et al.2026
57. Side-by-side Comparison Amplifies Dialect Bias in Language ModelsACM Conference on Fairness, Accountability, and Transparency (FAccT)Kritee Kondapally, Claire J. Smerdon, Pooja C. Patel, et al.2026
58. How AI Fails: An Interactive Pedagogical Tool for Demonstrating Dialectal Bias in Automated Toxicity ModelsarXiv:2511.06676Subhojit Ghimire2025
59. Experiences from Creating a Benchmark for Sentiment Classification for Varieties of EnglisharXiv:2410.11216Dipankar Srirag, Jordan Painter, Aditya Joshi, et al.2024
60. System Demo: Tool and Infrastructure for Offensive Language Error Analysis (OLEA) in EnglisharXiv:2210.16398Marie Grace, Xajavion "Jay" Seabrum, Dananjay Srinivas, et al.2022

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