Who cites «Benchmark Data Contamination of Large Language Models: A Survey»
- FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AIarXiv:2411.04872Elliot Glazer, Ege Erdil, Tamay Besiroglu, et al.2024 · 97 citations
- MAVEN-FACT: A Large-scale Event Factuality Detection DatasetFindings of the Association for Computational LinguisticsChunyang Li, Hao Peng, Xiaozhi Wang, et al.2024 · 6 citations
- Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid NetworkConference on Computational Natural Language Learning (CoNLL)Yang Fang, Cheng Xu, Shuhao Guan, et al.2024 · 4 citations
- LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhang, Yujiong Shen, Jingyi Deng, et al.2026 · 3 citations
- LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Xu, Changhong Jin, Yingjie Niu, et al.2026 · 2 citations
- A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language ModelsFindings of the Association for Computational LinguisticsSoham Petkar, Hari Aakash K, Anirudh Vempati, et al.2026 · 1 citation
- Test of Time: Rethinking Temporal Signal of Benchmark ContaminationAnnual Meeting of the Association for Computational Linguistics (ACL)Terry Jingchen Zhang, Gopal Dev, Ning Wang, et al.2026 · 1 citation
- 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
- BenchNavigator: A Discovery Interface for Comparing LLM BenchmarksWorkshop on Evaluating Evaluations (EvalEval)Anna Sokol, Inge Vejsbjerg, Elizabeth M. Daly, et al.2026
- 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
- Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLMs via Noise Injection PromptingFindings of the Association for Computational LinguisticsXingyou Yin, Ceyao Zhang, Min Hu, et al.2026
- 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
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