---
title: "Who cites IssueBench: Millions of Realistic — 14 citing papers"
description: "14 papers of the Elamur Research library cite «IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing…"
canonical: "https://research.elamur.ai/free/en/papers/rottger-2026-issuebench-millions-realistic-prompts-measuring/cited-by/"
---
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# Who cites «IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance»

14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance»](https://md.research.elamur.ai/free/en/papers/rottger-2026-issuebench-millions-realistic-prompts-measuring/)

1. **[Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race](https://md.research.elamur.ai/free/en/papers/sun-2025-aligned-but-blind-alignment-increases/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lihao Sun, Chengzhi Mao, Valentin Hofmann, et al.*2025 · 10 citations*
2. **[Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs](https://md.research.elamur.ai/free/en/papers/weeber-2026-do-political-opinions-transfer-between/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Franziska Weeber, Tanise Ceron, Sebastian Padó*2026 · 4 citations*
3. **[\textitOne Persona, \textitMany Cues, \textitDifferent Results: How Sociodemographic Cues Impact LLM Personalization](https://md.research.elamur.ai/free/en/papers/weeber-2026-textitone-persona-textitmany-cues-textitdifferent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Franziska Weeber, Vera Neplenbroek, Jan Batzner, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/rottger-2026-issuebench-millions-realistic-prompts-measuring/) — IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance