🔗 Who cites «Mathematical Reasoning via Self-supervised Skip-tree Training»

30 papers of our library cite it (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← back to «Mathematical Reasoning via Self-supervised Skip-tree Training»

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
2. Measuring Mathematical Problem Solving With the MATH DatasetarXiv:2103.03874Dan Hendrycks, Collin Burns, Saurav Kadavath, et al.2021 · 2,395 citations
3. Solving Quantitative Reasoning Problems with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Aitor Lewkowycz, Anders Andreassen, David Dohan, et al.2022 · 992 citations
4. Mathematical Capabilities of ChatGPTConference on Neural Information Processing Systems (NeurIPS)Simon Frieder, Luca Pinchetti, Alexis Chevalier, et al.2023 · 449 citations
5. LeanDojo: Theorem Proving with Retrieval-Augmented Language ModelsConference on Neural Information Processing Systems (NeurIPS)Kaiyu Yang, Aidan M. Swope, Alex Gu, et al.2023 · 253 citations
6. Generative Language Modeling for Automated Theorem ProvingarXiv:2009.03393Stanislas Polu, Ilya Sutskever2020 · 241 citations
7. Autoformalization with Large Language ModelsarXiv:2205.12615Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.2022 · 204 citations
8. Formal Mathematics Statement Curriculum LearningarXiv:2202.01344Stanislas Polu, Jesse Michael Han, Kunhao Zheng, et al.2022 · 133 citations
9. Teaching Algorithmic Reasoning via In-context LearningarXiv:2211.09066Hattie Zhou, Azade Nova, Hugo Larochelle, et al.2022 · 96 citations
10. Proof Artifact Co-training for Theorem Proving with Language ModelsarXiv:2102.06203Jesse Michael Han, Jason Rute, Yuhuai Wu, et al.2021 · 82 citations
11. LEGO-Prover: Neural Theorem Proving with Growing LibrariesarXiv:2310.00656Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.2023 · 79 citations
12. NaturalProofs: Mathematical Theorem Proving in Natural LanguagearXiv:2104.01112Sean Welleck, Jiacheng Liu, Ronan Le Bras, et al.2021 · 76 citations
13. Lean-STaR: Learning to Interleave Thinking and ProvingarXiv:2407.10040Haohan Lin, Zhiqing Sun, Sean Welleck, et al.2024 · 51 citations
14. A Survey on Deep Learning for Theorem ProvingarXiv:2404.09939Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.2024 · 46 citations
15. IsarStep: a Benchmark for High-level Mathematical ReasoningarXiv:2006.09265Wenda Li, Lei Yu, Yuhuai Wu, et al.2020 · 43 citations
16. INT: An Inequality Benchmark for Evaluating Generalization in Theorem ProvingarXiv:2007.02924Yuhuai Wu, Albert Qiaochu Jiang, Jimmy Ba, et al.2020 · 41 citations
17. DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value FunctionAnnual Meeting of the Association for Computational Linguistics (ACL)Haiming Wang, Ye Yuan, Zhengying Liu, et al.2023 · 40 citations
18. Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanarXiv:2404.12534Peiyang Song, Kaiyu Yang, Anima Anandkumar2024 · 39 citations
19. LIME: Learning Inductive Bias for Primitives of Mathematical ReasoningarXiv:2101.06223Yuhuai Wu, Markus Rabe, Wenda Li, et al.2021 · 39 citations
20. Teaching Temporal Logics to Neural NetworksarXiv:2003.04218Christopher Hahn, Frederik Schmitt, Jens U. Kreber, et al.2020 · 24 citations
21. Solving Formal Math Problems by Decomposition and Iterative ReflectionarXiv:2507.15225Yichi Zhou, Jianqiu Zhao, Yongxin Zhang, et al.2025 · 16 citations
22. A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jordan Meadows, Marco Valentino, Damien Teney, et al.2024 · 14 citations

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