---
title: "Who cites Graders Should Cheat: Privileged — 3 citing papers"
description: "3 papers of the Elamur Research library cite «Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations»…"
canonical: "https://research.elamur.ai/free/en/papers/zhou-2025-graders-should-cheat-privileged-information/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Graders Should Cheat: Privileged Information…](https://md.research.elamur.ai/free/en/papers/zhou-2025-graders-should-cheat-privileged-information/) / cited by

# Who cites «Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations»](https://md.research.elamur.ai/free/en/papers/zhou-2025-graders-should-cheat-privileged-information/)

1. **[Gained in Translation: Privileged Pairwise Judges Enhance Multilingual Reasoning](https://md.research.elamur.ai/free/en/papers/sutawika-2026-gained-translation-privileged-pairwise-judges/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lintang Sutawika, Gokul Swamy, Steven Wu, et al.*2026 · 2 citations*
2. **[When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias](https://md.research.elamur.ai/free/en/papers/zou-2026-when-vision-language-models-judge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.*2026 · 1 citation*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/zhou-2025-graders-should-cheat-privileged-information/) — Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations
