🔗 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»

1. Benchmarking Benchmark Leakage in Large Language ModelsarXiv:2404.18824Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.2024 · 73 citations
2. Adam's Law: Textual Frequency Law on Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongyuan Lu, Zixuan Li, Zefan Zhang, et al.2026 · 2 citations
3. Are LLM Benchmarks Already Contaminated? A Systematic Review of Contamination Detection MethodsWorkshop on Generation, Evaluation and Metrics (GEM)Erfan Nourbakhsh, Mohammad Sadegh Sirjani, Amir Mousavi, et al.2026
4. Benchmark Data Contamination in Underrepresented Languages: A Comprehensive Analysis Using Brazilian DataLanguage Resources and Evaluation Conference (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 ModelsJoint Conference on Lexical and Computational Semantics (*SEM)Hongyuan Adam Lu, Wai Lam2026

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

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