---
title: "Who cites Theory-Grounded Measurement — 26 citing papers"
description: "26 papers of the Elamur Research library cite «Theory-Grounded Measurement of U.S. Among them: Bias and Fairness in Large Language…"
canonical: "https://research.elamur.ai/free/en/papers/cao-2022-theory-grounded-measurement-u-s/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Theory-Grounded Measurement of U.S. Social…](https://md.research.elamur.ai/free/en/papers/cao-2022-theory-grounded-measurement-u-s/) / cited by

# Who cites «Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models»

26 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models»](https://md.research.elamur.ai/free/en/papers/cao-2022-theory-grounded-measurement-u-s/)

1. **[Bias and Fairness in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.*2023 · 1,082 citations*
2. **[Having Beer after Prayer? Measuring Cultural Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/naous-2023-having-beer-after-prayer-measuring/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tarek Naous, Michael J. Ryan, Alan Ritter, et al.*2023 · 273 citations*
3. **[Having Beer after Prayer? Measuring Cultural Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/naous-2024-having-beer-after-prayer-measuring/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tarek Naous, Michael J Ryan, Alan Ritter, et al.*2024 · 95 citations*
4. [**Aligning Language Models with Preferences through f-divergence Minimization arXiv:2302.08215**Dongyoung Go, Tomasz Korbak, German Kruszewski, et al.*2023 · 39 citations*](https://md.research.elamur.ai/free/en/papers/go-2023-aligning-language-models-preferences-through/)

22 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/cao-2022-theory-grounded-measurement-u-s/) — Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models