🧑‍🔬 Who cites Eve Fleisig

217 citations of their works from 201 papers of our library (of the 149,439 whose bibliographies we read) · 45 with a page here, the most cited first · ← Eve Fleisig

1. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
2. A Roadmap to Pluralistic AlignmentarXiv:2402.05070Taylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 143 citations
3. Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production TasksarXiv:2306.07899Veniamin Veselovsky, Manoel Horta Ribeiro, Robert West2023 · 127 citations
4. Quantifying the Persona Effect in LLM SimulationsAnnual Meeting of the Association for Computational Linguistics (ACL)Tiancheng Hu, Nigel Collier2024 · 116 citations
5. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.2024 · 110 citations
6. LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Helia Hashemi, Jason Eisner, Corby Rosset, et al.2024 · 88 citations
7. People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated textAnnual Meeting of the Association for Computational Linguistics (ACL)Jenna Russell, Marzena Karpinska, Mohit Iyyer2025 · 33 citations
8. Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text PerceptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Matthias Orlikowski, Jiaxin Pei, Paul Röttger, et al.2025 · 22 citations
9. Can Unconfident LLM Annotations Be Used for Confident Conclusions?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kristina Gligorić, Tijana Zrnic, Cinoo Lee, et al.2025 · 19 citations
10. Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be BetterAnnual Meeting of the Association for Computational Linguistics (ACL)Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.2024 · 16 citations
11. Natural Language Processing RELIES on LinguisticsComputational LinguisticsJuri Opitz, Shira Wein, Nathan Schneider2025 · 13 citations
12. WildFeedback: Aligning LLMs With In-situ User Interactions And FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Taiwei Shi, Zhuoer Wang, Longqi Yang, et al.2026 · 9 citations
13. The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation AnalysisComputational LinguisticsAaron Mueller, Jannik Brinkmann, Millicent Li, et al.2026 · 7 citations
14. Generative AI and linguistic diversity in academic writing and publishing: Perspectives from World EnglishesarXiv:2607.28505 · Generative AI and linguistic diversity in academic writing and publishing: Perspectives from World Englishes. Journal of English for Research Publication Purposes, 2025, 6(2), 265-289Kingsley Ugwuanyi, Christian Mair, Sender Dovchin, et al.2025 · 4 citations
15. Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for ChatbotsAnnual Meeting of the Association for Computational Linguistics (ACL)Sarah E. Finch, Ellie S. Paek, Ikseon Choi, et al.2025 · 3 citations
16. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English VarietiesConference on Neural Information Processing Systems (NeurIPS)Jiyoung Lee, Seungho Kim, Jieun Han, et al.2025 · 3 citations
17. Explaining Generalization of AI-Generated Text Detectors Through Linguistic AnalysisConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuxi Xia, Kinga Stańczak, Benjamin Roth2026 · 2 citations
18. Attention to Non-AdoptersFindings of the Association for Computational LinguisticsKaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.2026 · 1 citation
19. Frankentext: Stitching random text fragments into long-form narrativesAnnual Meeting of the Association for Computational Linguistics (ACL)Chau Minh Pham, Jenna Russell, Dzung Pham, et al.2026 · 1 citation
20. HARM: Learning Hate-Aware Reward Model for Evaluating Natural Language Explanations of Offensive ContentFindings of the Association for Computational LinguisticsLorenzo Puppi Vecchi, Alceu de Souza Britto Jr, Emerson Cabrera Paraiso, et al.2026 · 1 citation
21. Identifying Bias in Machine-generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Stowe, Svetlana Afanaseva, Rodolfo C. Raimundo, et al.2026 · 1 citation
22. Measuring Human Contribution in AI-Assisted Content GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yueqi Xie, Tao Qi, Jingwei Yi, et al.2026 · 1 citation
23. Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Yinuo Xu, Veronica Derricks, Allison Earl, et al.2026 · 1 citation
24. No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural UnderstandingTransactions of the Association for Computational Linguistics (TACL)Vynska Amalia Permadi, Xingwei Tan, Nafise Sadat Moosavi, et al.2026 · 1 citation
25. Spotlights and Blindspots: Evaluating Machine-Generated Text DetectionLanguage Resources and Evaluation Conference (LREC)Kevin Stowe, Kailash Patil2026 · 1 citation
26. Śmigiel Dataset: Laying Foundations for Investigating Machine-Generated Text Detection in PolishLanguage Resources and Evaluation Conference (LREC)Jakub Strebeyko, Alina Wróblewska, Piotr Przybyła2026 · 1 citation
27. AI systems and the reproduction of (standard) language ideologies in World EnglishesarXiv:2607.28528Kingsley Ugwuanyi2026
28. An Investigation of Linguistic Biases in LLM-Based RecommendationsarXiv:2604.25456Nitin Venkateswaran, Jason Ang, Deep Adhikari, et al.2026
29. Can I guess where you are from? Modeling dialectal morphosyntactic similarities in Brazilian PortugueseInternational Conference on Computational Processing of PortugueseManoel Siqueira, Raquel Freitag2026
30. DialectLLM: A Dialect-Aware Dialog[ue] Generation Framework Beyond Standard American EnglisharXiv:2601.22888Jio Oh, Paul Vicinanza, Thomas Butler, et al.2026
31. DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect AdaptationarXiv:2607.07669Jordan Painter, Dipankar Srirag, Adarsh Kappiyath, et al.2026
32. Evaluating the Usage of African-American Vernacular English in Large Language ModelsarXiv:2602.21485Deja Dunlap, R. Thomas McCoy2026
33. From a River in Gilead to the Inference Distributions of Large Language Models: Covert Dialect Bias and Linguistic Profiling at ScaleProceedings of the AAAI/ACM Conference on AI Ethics and SocietyChowdhury Mohammad Abdullah, Rita Orji2026
34. GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsLanguage Resources and Evaluation Conference (LREC)Manuel Schaaf, Kevin Bönisch, Alexander Mehler2026
35. GigaCheck: Detecting LLM-generated Content via Object-Centric Span LocalizationFindings of the Association for Computational LinguisticsIrina Tolstykh, Aleksandra Tsybina, Sergey Yakubson, et al.2026
36. How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM PipelinearXiv:2604.04204Mir Tafseer Nayeem, Davood Rafiei2026
37. Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Katelyn X. Mei, Yi-Li Hsu, Minjoon Choi, et al.2026
38. KCLarity at SemEval-2026 Task 6: Encoder and Zero-Shot Approaches to Political Evasion DetectionInternational Workshop on Semantic Evaluation (SemEval)Archie Sage, Salvatore Greco2026
39. 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
40. ORCA: Open-ended Response Correctness Assessment for Audio Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Šimon Sedláček, Sara Barahona, Cecilia Bolaños, et al.2026
41. SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search EngineConference of the European Chapter of the Association for Computational Linguistics (EACL)Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu2026
42. 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
43. Some Dialects Are More Equal Than Others: Non-Prestigious Arabic Dialectal Bias in LLMsarXiv:2609.23955Mai Mohamed Eida, Ryan Dolan, Paul de Nijs, et al.2026
44. When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated ContentAnnual Conference of the European Association for Machine Translation (EAMT)Lydia Nishimwe, Benoît Sagot, Rachel Bawden2026
45. Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM ResponsesarXiv:2511.23041Dong Nguyen, Laura Rosseel2025

156 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/eve-fleisig/cited-by/