🔗 Who cites «AI-Assisted Generation of Difficult Math Questions»

22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «AI-Assisted Generation of Difficult Math Questions»

1. MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard PerturbationsarXiv:2502.06453Kaixuan Huang, Jiacheng Guo, Zihao Li, et al.2025 · 42 citations
2. ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of DataConference on Neural Information Processing Systems (NeurIPS)Xiaoyang Liu, Kangjie Bao, Jiashuo Zhang, et al.2025 · 16 citations
3. MIND: Math Informed syNthetic Dialogues for Pretraining LLMsarXiv:2410.12881Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, et al.2024 · 11 citations
4. Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant EvaluationarXiv:2501.14275Sadegh Mahdavi, Muchen Li, Kaiwen Liu, et al.2025 · 10 citations
5. AutoTaskEval: Towards Domain-Specific and Fine-Grained Evaluation for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Qingqing Lyu, Linjuan Wu, Yongliang Shen, et al.2026
6. PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable DataFindings of the Association for Computational LinguisticsKai Xiong, Yanwei Huang, Rongjunchen Zhang, et al.2026
7. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function LibraryFindings of the Association for Computational LinguisticsJiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, et al.2026

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

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