🔗 Who cites «An Open Source Data Contamination Report for Large Language Models»

47 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «An Open Source Data Contamination Report for Large Language Models»

1. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
2. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations
3. Benchmarking Benchmark Leakage in Large Language ModelsarXiv:2404.18824Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.2024 · 73 citations
4. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
5. Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, et al.2025 · 16 citations
6. PseudoBench: Measuring How Agentic Auto-Research Fuels PseudosciencearXiv:2606.18060Xinyang Liao, Lingyu Li, Huacan Liu, et al.2026 · 1 citation
7. When Do Large Language Models Exhibit Unsolicited Deception?Transactions of the Association for Computational Linguistics (TACL)Samuel M. Taylor, Benjamin K. Bergen2026 · 1 citation
8. 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
9. Can Large Language Models Reliably Correct Errors in Low-Resource ASR? A Contamination-Aware Case Study on West FrisianarXiv:2605.19711Yun Hao, Reihaneh Amooie, Wietse de Vries, et al.2026
10. Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangxu Zhang, Lei Li, Yanyun Zhou, et al.2026
11. Lunar-Bench: Towards Evaluating Task-Oriented Reasoning of LLMs in Lunar Exploration ScenariosFindings of the Association for Computational LinguisticsXin-Yu Xiao, Ye Tian, Erwei Yin, et al.2026
12. SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammadtaher Safarzadeh, Hitesh Laxmichand Patel, Afshin Oroojlooy, et al.2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/li-2023-open-source-data-contamination-report/cited-by/