Who cites «IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance»
- Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of RaceAnnual Meeting of the Association for Computational Linguistics (ACL)Lihao Sun, Chengzhi Mao, Valentin Hofmann, et al.2025 · 10 citations
- Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Franziska Weeber, Tanise Ceron, Sebastian Padó2026 · 4 citations
- \textitOne Persona, \textitMany Cues, \textitDifferent Results: How Sociodemographic Cues Impact LLM PersonalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Franziska Weeber, Vera Neplenbroek, Jan Batzner, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/rottger-2026-issuebench-millions-realistic-prompts-measuring/cited-by/