🧑‍🔬 Who cites Christine Basta

100 citations of their works from 99 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← Christine Basta

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. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,344 citations
4. 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
5. Measuring Bias in Contextualized Word RepresentationsWorkshop on Gender Bias in Natural Language ProcessingKeita Kurita, Nidhi Vyas, Ayush Pareek, et al.2019 · 590 citations
6. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedarXiv:2209.07858Deep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 485 citations
7. The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleConference on Neural Information Processing Systems (NeurIPS)Guilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 434 citations
8. Toxicity in chatgpt: Analyzing persona-assigned language modelsFindings of the Association for Computational LinguisticsAmeet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.2023 · 353 citations
9. Gender Bias in Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.2021 · 310 citations
10. 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
11. Measuring and Reducing Gendered Correlations in Pre-trained ModelsarXiv:2010.06032Kellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 254 citations
12. 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
13. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLParXiv:2103.00453Timo Schick, Sahana Udupa, Hinrich Schutze2021 · 213 citations
14. SeamlessM4T: Massively Multilingual & Multimodal Machine TranslationarXiv:2308.11596Seamless Communication, Loic Barrault, Yu-An Chung, et al.2023 · 183 citations
15. Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender BiasWorkshop on Gender Bias in Natural Language ProcessingMarion Bartl, Malvina Nissim, Albert Gatt2020 · 116 citations
16. Automatic Gender Identification and Reinflection in ArabicWorkshop on Gender Bias in Natural Language ProcessingNizar Habash, Houda Bouamor, Christine Chung2019 · 75 citations
17. 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
18. The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating ItConference on Empirical Methods in Natural Language Processing (EMNLP)Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, et al.2025 · 25 citations
19. 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
20. Speciesist Language and Nonhuman Animal Bias in English Masked Language ModelsInformation Processing & ManagementMasashi Takeshita, Rafal Rzepka, Kenji Araki2022 · 11 citations
21. Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMsTransactions of the Association for Computational Linguistics (TACL)Sara Papi, Javier Garcia Gilabert, Zachary Hopton, et al.2026 · 7 citations
22. 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

77 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/christine-basta/cited-by/