---
title: "Who cites CLEAN-EVAL: Clean Evaluation — 18 citing papers"
description: "18 papers of the Elamur Research library cite «CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/zhu-2023-clean-eval-clean-evaluation-contaminated/cited-by/"
---
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# Who cites «CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models»

18 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models»](https://md.research.elamur.ai/free/en/papers/zhu-2023-clean-eval-clean-evaluation-contaminated/)

1. [**Benchmarking Benchmark Leakage in Large Language Models arXiv:2404.18824**Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.*2024 · 73 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-benchmarking-benchmark-leakage-large-language/)
2. **[Adam's Law: Textual Frequency Law on Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2026-adam-s-law-textual-frequency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongyuan Lu, Zixuan Li, Zefan Zhang, et al.*2026 · 2 citations*
3. **[Are LLM Benchmarks Already Contaminated? A Systematic Review of Contamination Detection Methods](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-are-llm-benchmarks-already-contaminated/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Erfan Nourbakhsh, Mohammad Sadegh Sirjani, Amir Mousavi, et al.*2026*
4. **[Benchmark Data Contamination in Underrepresented Languages: A Comprehensive Analysis Using Brazilian Data](https://md.research.elamur.ai/free/en/papers/vilar-2026-benchmark-data-contamination-underrepresented-languages/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Iriedson Souto Maior de Moraes Vilar, David Candeia Maia, João Brunet, et al.*2026*
5. **[Toxic Subword Pruning for Dialogue Response Generation on Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2026-toxic-subword-pruning-dialogue-response/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Hongyuan Adam Lu, Wai Lam*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zhu-2023-clean-eval-clean-evaluation-contaminated/) — CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models