---
title: "Who cites Understanding Undesirable Word — 62 citing papers"
description: "62 papers of the Elamur Research library cite «Understanding Undesirable Word Embedding Associations», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/ethayarajh-2019-understanding-undesirable-word-embedding-associations/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Understanding Undesirable Word Embedding…](https://md.research.elamur.ai/free/en/papers/ethayarajh-2019-understanding-undesirable-word-embedding-associations/) / cited by

# Who cites «Understanding Undesirable Word Embedding Associations»

62 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Understanding Undesirable Word Embedding Associations»](https://md.research.elamur.ai/free/en/papers/ethayarajh-2019-understanding-undesirable-word-embedding-associations/)

1. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,056 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)
2. **[Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection](https://md.research.elamur.ai/free/en/papers/ravfogel-2020-null-it-out-guarding-protected/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shauli Ravfogel, Yanai Elazar, Hila Gonen, et al.*2020 · 480 citations*
3. **[Intrinsic Bias Metrics Do Not Correlate with Application Bias](https://md.research.elamur.ai/free/en/papers/tarrant-2021-intrinsic-bias-metrics-do-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, et al.*2021 · 116 citations*
4. **[Rating-based property axes: Agentivity and split intransitivity](https://md.research.elamur.ai/free/en/papers/neu-2026-rating-based-property-axes-agentivity/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Eva Neu, Brian Dillon, Katrin Erk*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ethayarajh-2019-understanding-undesirable-word-embedding-associations/) — Understanding Undesirable Word Embedding Associations
