---
title: "Who cites Elisa Bassignana"
description: "105 papers of the Elamur Research library cite the works of Elisa Bassignana, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/elisa-bassignana/cited-by/"
---
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# Who cites Elisa Bassignana

106 citations of their works from 105 papers of our library (of the 140,884 whose bibliographies we read) · 5 with a page here, the most cited first · [← Elisa Bassignana](https://md.research.elamur.ai/free/en/authors/elisa-bassignana/)

1. [**Bias and Fairness in Large Language Models: A Survey**Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.*2023 · 1,072 citations*](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/)
2. [**HONEST: Measuring Hurtful Sentence Completion in Language Models**Debora Nozza, Federico Bianchi, Dirk Hovy*2021 · 190 citations*](https://md.research.elamur.ai/free/en/papers/nozza-2021-honest-measuring-hurtful-sentence-completion/)
3. [**ACID: On the Perception of Online Classism**Arianna Muti, Elisa Bassignana, Amanda Cercas Curry, et al.*2026*](https://md.research.elamur.ai/free/en/papers/muti-2026-acid-perception-online-classism/)
4. [**LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-lgse-lexically-grounded-subword-embedding/)
5. [**Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models**Arash Asgari, Huan Wu, Amirreza Naziri, et al.*2026*](https://md.research.elamur.ai/free/en/papers/asgari-2026-quantifying-metric-model-agreement-bias/)

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

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