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Who cites «GamePad: A Learning Environment for Theorem Proving»

38 papers of our library cite it (of the 149,439 whose bibliographies we read) · 31 with a page here, the most cited first · ← back to «GamePad: A Learning Environment for Theorem Proving»

  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. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  4. Generative Language Modeling for Automated Theorem ProvingarXiv:2009.03393Stanislas Polu, Ilya Sutskever2020 · 241 citations
  5. Baldur: Whole-Proof Generation and Repair with Large Language ModelsarXiv:2303.04910Emily First, Markus N. Rabe, Talia Ringer, et al.2023 · 175 citations
  6. Formal Mathematics Statement Curriculum LearningarXiv:2202.01344Stanislas Polu, Jesse Michael Han, Kunhao Zheng, et al.2022 · 133 citations
  7. Learning to Prove Theorems via Interacting with Proof AssistantsarXiv:1905.09381Kaiyu Yang, Jia Deng2019 · 90 citations
  8. Proof Artifact Co-training for Theorem Proving with Language ModelsarXiv:2102.06203Jesse Michael Han, Jason Rute, Yuhuai Wu, et al.2021 · 82 citations
  9. NaturalProofs: Mathematical Theorem Proving in Natural LanguagearXiv:2104.01112Sean Welleck, Jiacheng Liu, Ronan Le Bras, et al.2021 · 76 citations
  10. Generating Correctness Proofs with Neural NetworksarXiv:1907.07794Alex Sanchez-Stern, Yousef Alhessi, Lawrence Saul, et al.2019 · 69 citations
  11. Mathematical Reasoning via Self-supervised Skip-tree TrainingarXiv:2006.04757Markus N. Rabe, Dennis Lee, Kshitij Bansal, et al.2020 · 54 citations
  12. Formal Mathematical Reasoning: A New Frontier in AIarXiv:2412.16075Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.2024 · 49 citations
  13. An In-Context Learning Agent for Formal Theorem-ProvingarXiv:2310.04353Amitayush Thakur, George Tsoukalas, Yeming Wen, et al.2023 · 47 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. Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanarXiv:2404.12534Peiyang Song, Kaiyu Yang, Anima Anandkumar2024 · 39 citations
  18. LIME: Learning Inductive Bias for Primitives of Mathematical ReasoningarXiv:2101.06223Yuhuai Wu, Markus Rabe, Wenda Li, et al.2021 · 39 citations
  19. Learning to Reason in Large Theories without ImitationarXiv:1905.10501Kshitij Bansal, Christian Szegedy, Markus N. Rabe, et al.2019 · 36 citations
  20. Passport: Improving Automated Formal Verification Using IdentifiersarXiv:2204.10370 (ACM Transactions on Programming Languages and Systems (TOPLAS), 45(2):12:1-12:30, June 2023)Alex Sanchez-Stern, Emily First, Timothy Zhou, et al.2022 · 35 citations
  21. Process-Driven Autoformalization in Lean 4arXiv:2406.01940Jianqiao Lu, Yingjia Wan, Zhengying Liu, et al.2024 · 33 citations
  22. TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement LearningarXiv:2102.09756Minchao Wu, Michael Norrish, Christian Walder, et al.2021 · 24 citations
  23. Teaching Temporal Logics to Neural NetworksarXiv:2003.04218Christopher Hahn, Frederik Schmitt, Jens U. Kreber, et al.2020 · 24 citations
  24. LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN proverarXiv:2407.17227Zijian Wu, Jiayu Wang, Dahua Lin, et al.2024 · 23 citations
  25. Graph2Tac: Online Representation Learning of Formal Math ConceptsarXiv:2401.02949Lasse Blaauwbroek, Miroslav Olšák, Jason Rute, et al.2024 · 19 citations
  26. Solving Formal Math Problems by Decomposition and Iterative ReflectionarXiv:2507.15225Yichi Zhou, Jianqiu Zhao, Yongxin Zhang, et al.2025 · 16 citations
  27. Guiding High-Performance SAT Solvers with Unsat-Core PredictionsarXiv:1903.04671 (International Conference on Theory and Applications of Satisfiability Testing. Springer, Cham, 2019)Daniel Selsam, Nikolaj Bjørner2019 · 16 citations
  28. Automated Theorem Proving in Intuitionistic Propositional Logic by Deep Reinforcement LearningarXiv:1811.00796Mitsuru Kusumoto, Keisuke Yahata, Masahiro Sakai2018 · 15 citations
  29. Learning to Prove from Synthetic TheoremsarXiv:2006.11259Eser Aygün, Zafarali Ahmed, Ankit Anand, et al.2020 · 12 citations

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

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