Who cites «HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving»
- 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
- End-to-End Differentiable ProvingarXiv:1705.11040Tim Rocktäschel, Sebastian Riedel2017 · 188 citations
- Premise Selection for Theorem Proving by Deep Graph EmbeddingarXiv:1709.09994Mingzhe Wang, Yihe Tang, Jian Wang, et al.2017 · 106 citations
- GamePad: A Learning Environment for Theorem ProvingarXiv:1806.00608Daniel Huang, Prafulla Dhariwal, Dawn Song, et al.2018 · 94 citations
- Proof Artifact Co-training for Theorem Proving with Language ModelsarXiv:2102.06203Jesse Michael Han, Jason Rute, Yuhuai Wu, et al.2021 · 82 citations
- Thor: Wielding Hammers to Integrate Language Models and Automated Theorem ProversarXiv:2205.10893Albert Q. Jiang, Wenda Li, Szymon Tworkowski, et al.2022 · 79 citations
- HOList: An Environment for Machine Learning of Higher-Order Theorem ProvingarXiv:1904.03241Kshitij Bansal, Sarah M. Loos, Markus N. Rabe, et al.2019 · 78 citations
- Generating Correctness Proofs with Neural NetworksarXiv:1907.07794Alex Sanchez-Stern, Yousef Alhessi, Lawrence Saul, et al.2019 · 69 citations
- Formal Mathematical Reasoning: A New Frontier in AIarXiv:2412.16075Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.2024 · 49 citations
- A Survey on Deep Learning for Theorem ProvingarXiv:2404.09939Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.2024 · 46 citations
- IsarStep: a Benchmark for High-level Mathematical ReasoningarXiv:2006.09265Wenda Li, Lei Yu, Yuhuai Wu, et al.2020 · 43 citations
- INT: An Inequality Benchmark for Evaluating Generalization in Theorem ProvingarXiv:2007.02924Yuhuai Wu, Albert Qiaochu Jiang, Jimmy Ba, et al.2020 · 41 citations
- Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanarXiv:2404.12534Peiyang Song, Kaiyu Yang, Anima Anandkumar2024 · 39 citations
- Magnushammer: A Transformer-Based Approach to Premise SelectionarXiv:2303.04488Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, et al.2023 · 35 citations
- Property Invariant Embedding for Automated ReasoningFrontiers in artificial intelligence and applicationsMiroslav Olšák, Cezary Kaliszyk, Josef Urban2019 · 30 citations
- Teaching Temporal Logics to Neural NetworksarXiv:2003.04218Christopher Hahn, Frederik Schmitt, Jens U. Kreber, et al.2020 · 24 citations
- 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
- Guiding Inferences in Connection Tableau by Recurrent Neural NetworksLecture notes in computer scienceBartosz Piotrowski, Josef Urban2019 · 15 citations
- Automated Theorem Proving in Intuitionistic Propositional Logic by Deep Reinforcement LearningarXiv:1811.00796Mitsuru Kusumoto, Keisuke Yahata, Masahiro Sakai2018 · 15 citations
- Learning to Prove from Synthetic TheoremsarXiv:2006.11259Eser Aygün, Zafarali Ahmed, Ankit Anand, et al.2020 · 12 citations
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