🔗 Who cites «Pretraining on the Test Set Is All You Need»

20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Pretraining on the Test Set Is All You Need»

1. LawBench: Benchmarking Legal Knowledge of Large Language ModelsarXiv:2309.16289Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 186 citations
2. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsarXiv:2405.09818Chameleon Team2024 · 159 citations
3. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
4. NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity ClassesAnnual Meeting of the Association for Computational Linguistics (ACL)Lizhou Fan, Wenyue Hua, Lingyao Li, et al.2024 · 47 citations
5. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language modelsarXiv:2405.02287Piotr Padlewski, Max Bain, Matthew Henderson, et al.2024 · 19 citations
6. JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM EvaluationFindings of the Association for Computational LinguisticsZhichao Shi, Xuhui Jiang, Chengjin Xu, et al.2026

14 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/schaeffer-2023-pretraining-test-set-all-need/cited-by/