🧑‍🔬 Who cites Alexandra Olteanu

213 citations of their works from 211 papers of our library (of the 149,439 whose bibliographies we read) · 46 with a page here, the most cited first · ← Alexandra Olteanu

1. Llama 2: Open Foundation and Fine-Tuned Chat ModelsarXiv:2307.09288Hugo Touvron, Louis Martin, Kevin Stone, et al.2023 · 9,669 citations
2. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
3. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
4. Gemini: A Family of Highly Capable Multimodal ModelsarXiv:2312.11805Gemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 3,050 citations
5. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,755 citations
6. CTRL: A Conditional Transformer Language Model for Controllable GenerationarXiv:1909.05858Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,291 citations
7. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
8. PaLM 2 Technical ReportarXiv:2305.10403Rohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 1,000 citations
9. GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 786 citations
10. BBQ: A hand-built bias benchmark for question answeringFindings of the Association for Computational LinguisticsAlicia Parrish, Angelica Chen, Nikita Nangia, et al.2022 · 497 citations
11. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
12. Ethical and social risks of harm from Language ModelsarXiv:2112.04359Laura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 456 citations
13. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable ClaimsarXiv:2004.07213Miles Brundage, Shahar Avin, Jasmine Wang, et al.2020 · 320 citations
14. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsConference on Neural Information Processing Systems (NeurIPS)Boxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 259 citations
15. Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Myra Cheng, Esin Durmus, Dan Jurafsky2023 · 246 citations
16. An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nicholas Meade, Elinor Poole-Dayan, Siva Reddy2022 · 211 citations
17. On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Omar Shaikh, Hongxin Zhang, William Held, et al.2023 · 192 citations
18. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
19. “I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al.2022 · 167 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. Efficient Large Scale Language Modeling with Mixtures of ExpertsarXiv:2112.10684Mikel Artetxe, Shruti Bhosale, Naman Goyal, et al.2021 · 113 citations
22. French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Aurélie Névéol, Yoann Dupont, Julien Bezançon, et al.2022 · 107 citations
23. On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, et al.2022 · 100 citations
24. Automatically Auditing Large Language Models via Discrete OptimizationarXiv:2303.04381Erik Jones, Anca Dragan, Aditi Raghunathan, et al.2023 · 89 citations
25. Hate Speech Classifiers Learn Normative Social StereotypesTransactions of the Association for Computational Linguistics (TACL)Aida Mostafazadeh Davani, Mohammad Atari, Brendan Kennedy, et al.2023 · 84 citations
26. Theory-Grounded Measurement of U.S. Social Stereotypes in English Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yang Trista Cao, Anna Sotnikova, Hal Daumé III, et al.2022 · 50 citations
27. ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
28. 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
29. “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
30. An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language ModelsarXiv:2301.09211Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah2023 · 19 citations
31. Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language ModelBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPAbhijith Chintam, Rahel Beloch, Willem Zuidema, et al.2023 · 19 citations
32. CAW-coref: Conjunction-Aware Word-level Coreference ResolutionWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Karel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau, et al.2023 · 17 citations
33. Uncertainty and Inclusivity in Gender Bias Annotation: An Annotation Taxonomy and Annotated Datasets of British English TextWorkshop on Gender Bias in Natural Language ProcessingLucy Havens, Melissa Terras, Benjamin Bach, et al.2022 · 14 citations
34. Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual UnderstandingarXiv:2410.01671Yanming Liu, Xinyue Peng, Jiannan Cao, et al.2024 · 10 citations
35. Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling PerspectiveIan Porada, Alexandra Olteanu, Kaheer Suleman, et al.2024 · 10 citations
36. "Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language ModelsarXiv:2310.08780Abel Salinas, Louis Penafiel, Robert McCormack, et al.2023 · 10 citations
37. Debiasing Algorithm through Model AdaptationarXiv:2310.18913Tomasz Limisiewicz, David Mareček, Tomaš Musil2023 · 10 citations
38. A Controlled Reevaluation of Coreference Resolution ModelsLanguage Resources and Evaluation Conference (LREC)Ian Porada, Xiyuan Zou, Jackie Chi Kit Cheung2024 · 7 citations
39. Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency AnalysisarXiv:2311.08605David F. Jenny, Yann Billeter, Mrinmaya Sachan, et al.2023 · 6 citations
40. Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered LensFindings of the Association for Computational LinguisticsHellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha, et al.2026 · 1 citation
41. GKnow: Measuring the Entanglement of Gender Bias and Factual GenderAnnual Meeting of the Association for Computational Linguistics (ACL)Leonor Veloso, Hinrich Schuetze2026
42. Investigating How LLMs Propagate Female Stereotypes: Comparing What Models Say via Prompts with What They Represent in Their EmbeddingsLanguage Resources and Evaluation Conference (LREC)Andrea Valderrey Nuñez, Jelke Bloem2026
43. Practising responsibility: Ethics in NLP as a hands-on courseWorkshop on Teaching Natural Language ProcessingMalvina Nissim, Viviana Patti, Beatrice Savoldi2026
44. Quantifying Metric and Model Agreement in Bias Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arash Asgari, Huan Wu, Amirreza Naziri, et al.2026
45. Rethinking Research on Stereotypes: An Analysis through Social Psychological and Computational PerspectivesFindings of the Association for Computational LinguisticsKaustubh Shivshankar Shejole, Pushpak Bhattacharyya2026
46. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026

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