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Who cites Yuriy Brun

90 citations of their works from 85 papers of our library (of the 149,439 whose bibliographies we read) · 47 with a page here, the most cited first · ← Yuriy Brun

  1. Llemma: An Open Language Model For MathematicsarXiv:2310.10631Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 286 citations
  2. Baldur: Whole-Proof Generation and Repair with Large Language ModelsarXiv:2303.04910Emily First, Markus N. Rabe, Talia Ringer, et al.2023 · 175 citations
  3. DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic DataarXiv:2405.14333Huajian Xin, Daya Guo, Zhihong Shao, et al.2024 · 111 citations
  4. Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement LearningarXiv:2504.11354Haiming Wang, Mert Unsal, Xiaohan Lin, et al.2025 · 92 citations
  5. Goedel-Prover: A Frontier Model for Open-Source Automated Theorem ProvingarXiv:2502.07640Yong Lin, Shange Tang, Bohan Lyu, et al.2025 · 84 citations
  6. LEGO-Prover: Neural Theorem Proving with Growing LibrariesarXiv:2310.00656Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.2023 · 79 citations
  7. Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-CorrectionarXiv:2508.03613Yong Lin, Shange Tang, Bohan Lyu, et al.2025 · 67 citations
  8. Lean-STaR: Learning to Interleave Thinking and ProvingarXiv:2407.10040Haohan Lin, Zhiqing Sun, Sean Welleck, et al.2024 · 51 citations
  9. Formal Mathematical Reasoning: A New Frontier in AIarXiv:2412.16075Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.2024 · 49 citations
  10. An In-Context Learning Agent for Formal Theorem-ProvingarXiv:2310.04353Amitayush Thakur, George Tsoukalas, Yeming Wen, et al.2023 · 47 citations
  11. A Survey on Deep Learning for Theorem ProvingarXiv:2404.09939Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.2024 · 46 citations
  12. Towards AI-Assisted Synthesis of Verified Dafny MethodsarXiv:2402.00247Md Rakib Hossain Misu, Cristina V. Lopes, Iris Ma, et al.2024 · 46 citations
  13. Evaluating Language Models for Mathematics through InteractionsarXiv:2306.01694Katherine M. Collins, Albert Q. Jiang, Simon Frieder, et al.2023 · 40 citations
  14. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
  15. Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanarXiv:2404.12534Peiyang Song, Kaiyu Yang, Anima Anandkumar2024 · 39 citations
  16. Aristotle: IMO-level Automated Theorem ProvingSuperIntelligence - Robotics - Safety & AlignmentTudor Achim, Alex Best, Alberto Bietti, et al.2025 · 29 citations
  17. Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem ProvingarXiv:2305.16366Xueliang Zhao, Wenda Li, Lingpeng Kong2023 · 29 citations
  18. AutoVerus: Automated Proof Generation for Rust CodeProceedings of the ACM on Programming LanguagesChenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, et al.2024 · 28 citations
  19. Autoformalizing Euclidean GeometryarXiv:2405.17216Logan Murphy, Kaiyu Yang, Jialiang Sun, et al.2024 · 23 citations
  20. LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN proverarXiv:2407.17227Zijian Wu, Jiayu Wang, Dahua Lin, et al.2024 · 23 citations
  21. LLMSTEP: LLM proofstep suggestions in LeanarXiv:2310.18457Sean Welleck, Rahul Saha2023 · 22 citations
  22. The Limits of Inference Scaling Through ResamplingarXiv:2411.17501Benedikt Stroebl, Sayash Kapoor, Arvind Narayanan2024 · 21 citations
  23. Graph2Tac: Online Representation Learning of Formal Math ConceptsarXiv:2401.02949Lasse Blaauwbroek, Miroslav Olšák, Jason Rute, et al.2024 · 19 citations
  24. Proving Theorems RecursivelyConference on Neural Information Processing Systems (NeurIPS)Haiming Wang, Huajian Xin, Zhengying Liu, et al.2024 · 19 citations
  25. MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem ProvingarXiv:2503.03205Ruida Wang, Rui Pan, Yuxin Li, et al.2025 · 18 citations
  26. miniCTX: Neural Theorem Proving with (Long-)ContextsarXiv:2408.03350Jiewen Hu, Thomas Zhu, Sean Welleck2024 · 18 citations
  27. Can Transformers Learn to Solve Problems Recursively?arXiv:2305.14699Shizhuo Dylan Zhang, Curt Tigges, Stella Biderman, et al.2023 · 17 citations
  28. Solving Formal Math Problems by Decomposition and Iterative ReflectionarXiv:2507.15225Yichi Zhou, Jianqiu Zhao, Yongxin Zhang, et al.2025 · 16 citations
  29. Proving Olympiad Inequalities by Synergizing LLMs and Symbolic ReasoningarXiv:2502.13834Zenan Li, Zhaoyu Li, Wen Tang, et al.2025 · 11 citations
  30. AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and TreefinementarXiv:2412.06176Pranjal Aggarwal, Bryan Parno, Sean Welleck2024 · 11 citations
  31. Lemur: Integrating Large Language Models in Automated Program VerificationarXiv:2310.04870Haoze Wu, Clark Barrett, Nina Narodytska2024 · 11 citations
  32. SubgoalXL: Subgoal-based Expert Learning for Theorem ProvingarXiv:2408.11172Xueliang Zhao, Lin Zheng, Haige Bo, et al.2024 · 10 citations
  33. A Lean Dataset for International Math Olympiad: Small Steps towards Writing Math Proofs for Hard ProblemsarXiv:2411.18872Roozbeh Yousefzadeh, Xuenan Cao, Azim Ospanov2024 · 7 citations
  34. Premise Selection for a Lean HammerarXiv:2506.07477Thomas Zhu, Joshua Clune, Jeremy Avigad, et al.2025 · 5 citations
  35. StepFun-Prover Preview: Let's Think and Verify Step by SteparXiv:2507.20199Shijie Shang, Ruosi Wan, Yue Peng, et al.2025 · 5 citations
  36. ImProver: Agent-Based Automated Proof OptimizationarXiv:2410.04753Riyaz Ahuja, Jeremy Avigad, Prasad Tetali, et al.2024 · 5 citations

38 more citing papers of our library have no page here yet.

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