🧑‍🔬 Who cites Amaury Hayat

134 citations of their works from 130 papers of our library (of the 149,439 whose bibliographies we read) · 77 with a page here, the most cited first · ← Amaury Hayat

1. Mathematical Capabilities of ChatGPTConference on Neural Information Processing Systems (NeurIPS)Simon Frieder, Luca Pinchetti, Alexis Chevalier, et al.2023 · 449 citations
2. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
3. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 369 citations
4. Llemma: An Open Language Model For MathematicsarXiv:2310.10631Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 286 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. Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal ProofsarXiv:2210.12283Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, et al.2022 · 178 citations
7. Baldur: Whole-Proof Generation and Repair with Large Language ModelsarXiv:2303.04910Emily First, Markus N. Rabe, Talia Ringer, et al.2023 · 175 citations
8. HyperTree Proof Search for Neural Theorem ProvingConference on Neural Information Processing Systems (NeurIPS)Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, et al.2022 · 151 citations
9. ProofNet: Autoformalizing and Formally Proving Undergraduate-Level MathematicsarXiv:2302.12433Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, et al.2023 · 142 citations
10. Progressive-Hint Prompting Improves Reasoning in Large Language ModelsarXiv:2304.09797Chuanyang Zheng, Zhengying Liu, Enze Xie, et al.2023 · 131 citations
11. DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal DecompositionarXiv:2504.21801Z. Z. Ren, Zhihong Shao, Junxiao Song, et al.2025 · 122 citations
12. The Alignment Problem from a Deep Learning PerspectivearXiv:2209.00626Richard Ngo, Lawrence Chan, Soren Mindermann2022 · 121 citations
13. DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree SearcharXiv:2408.08152Huajian Xin, Z. Z. Ren, Junxiao Song, et al.2024 · 116 citations
14. DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic DataarXiv:2405.14333Huajian Xin, Daya Guo, Zhihong Shao, et al.2024 · 111 citations
15. PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical CompetitionConference on Neural Information Processing Systems (NeurIPS)George Tsoukalas, Jasper Lee, John Jennings, et al.2024 · 93 citations
16. Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement LearningarXiv:2504.11354Haiming Wang, Mert Unsal, Xiaohan Lin, et al.2025 · 92 citations
17. Better & Faster Large Language Models via Multi-token PredictionarXiv:2404.19737Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Roziere, et al.2024 · 90 citations
18. InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningarXiv:2402.06332Huaiyuan Ying, Shuo Zhang, Linyang Li, et al.2024 · 90 citations
19. Goedel-Prover: A Frontier Model for Open-Source Automated Theorem ProvingarXiv:2502.07640Yong Lin, Shange Tang, Bohan Lyu, et al.2025 · 84 citations
20. Proof Artifact Co-training for Theorem Proving with Language ModelsarXiv:2102.06203Jesse Michael Han, Jason Rute, Yuhuai Wu, et al.2021 · 82 citations
21. Lean Workbook: A large-scale Lean problem set formalized from natural language math problemsConference on Neural Information Processing Systems (NeurIPS)Huaiyuan Ying, Zijian Wu, Yihan Geng, et al.2024 · 80 citations
22. LEGO-Prover: Neural Theorem Proving with Growing LibrariesarXiv:2310.00656Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.2023 · 79 citations
23. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
24. Lean-STaR: Learning to Interleave Thinking and ProvingarXiv:2407.10040Haohan Lin, Zhiqing Sun, Sean Welleck, et al.2024 · 51 citations
25. TheoremLlama: Transforming General-Purpose LLMs into Lean4 ExpertsConference on Empirical Methods in Natural Language Processing (EMNLP)Ruida Wang, Jipeng Zhang, Yizhen Jia, et al.2024 · 51 citations
26. BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem ProvingAnnual Meeting of the Association for Computational Linguistics (ACL)Ran Xin, Chenguang Xi, Jie Yang, et al.2025 · 49 citations
27. Formal Mathematical Reasoning: A New Frontier in AIarXiv:2412.16075Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.2024 · 49 citations
28. An In-Context Learning Agent for Formal Theorem-ProvingarXiv:2310.04353Amitayush Thakur, George Tsoukalas, Yeming Wen, et al.2023 · 47 citations
29. A Survey on Deep Learning for Theorem ProvingarXiv:2404.09939Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.2024 · 46 citations
30. STP: Self-play LLM Theorem Provers with Iterative Conjecturing and ProvingarXiv:2502.00212Kefan Dong, Tengyu Ma2025 · 43 citations
31. IsarStep: a Benchmark for High-level Mathematical ReasoningarXiv:2006.09265Wenda Li, Lei Yu, Yuhuai Wu, et al.2020 · 43 citations
32. 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
33. Evaluating Language Models for Mathematics through InteractionsarXiv:2306.01694Katherine M. Collins, Albert Q. Jiang, Simon Frieder, et al.2023 · 40 citations
34. Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanarXiv:2404.12534Peiyang Song, Kaiyu Yang, Anima Anandkumar2024 · 39 citations
35. Magnushammer: A Transformer-Based Approach to Premise SelectionarXiv:2303.04488Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, et al.2023 · 35 citations
36. Linear algebra with transformersarXiv:2112.01898François Charton2021 · 31 citations
37. Aristotle: IMO-level Automated Theorem ProvingSuperIntelligence - Robotics - Safety & AlignmentTudor Achim, Alex Best, Alberto Bietti, et al.2025 · 29 citations
38. Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem ProvingarXiv:2305.16366Xueliang Zhao, Wenda Li, Lingpeng Kong2023 · 29 citations
39. Deep Symbolic Regression for Recurrent SequencesarXiv:2201.04600Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, et al.2022 · 27 citations
40. End-to-end symbolic regression with transformersarXiv:2204.10532Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, et al.2022 · 27 citations
41. Lyra: Orchestrating Dual Correction in Automated Theorem ProvingarXiv:2309.15806Chuanyang Zheng, Haiming Wang, Enze Xie, et al.2023 · 24 citations
42. Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, et al.2025 · 23 citations
43. LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN proverarXiv:2407.17227Zijian Wu, Jiayu Wang, Dahua Lin, et al.2024 · 23 citations
44. Learning Formal Mathematics From Intrinsic MotivationConference on Neural Information Processing Systems (NeurIPS)Gabriel Poesia, David Broman, Nick Haber, et al.2024 · 23 citations
45. LeanReasoner: Boosting Complex Logical Reasoning with LeanarXiv:2403.13312Dongwei Jiang, Marcio Fonseca, Shay B. Cohen2024 · 22 citations
46. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
47. Leanabell-Prover: Posttraining Scaling in Formal ReasoningarXiv:2504.06122Jingyuan Zhang, Qi Wang, Xingguang Ji, et al.2025 · 21 citations
48. TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jing Xiong, Jianhao Shen, Ye Yuan, et al.2023 · 21 citations
49. Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformersConference on Neural Information Processing Systems (NeurIPS)Alberto Alfarano, François Charton, Amaury Hayat2024 · 19 citations
50. Graph2Tac: Online Representation Learning of Formal Math ConceptsarXiv:2401.02949Lasse Blaauwbroek, Miroslav Olšák, Jason Rute, et al.2024 · 19 citations
51. Proving Theorems RecursivelyConference on Neural Information Processing Systems (NeurIPS)Haiming Wang, Huajian Xin, Zhengying Liu, et al.2024 · 19 citations
52. Towards a Mathematics Formalisation Assistant using Large Language ModelsarXiv:2211.07524Ayush Agrawal, Siddhartha Gadgil, Navin Goyal, et al.2022 · 19 citations
53. miniCTX: Neural Theorem Proving with (Long-)ContextsarXiv:2408.03350Jiewen Hu, Thomas Zhu, Sean Welleck2024 · 18 citations
54. APOLLO: Automated LLM and Lean Collaboration for Advanced Formal ReasoningConference on Neural Information Processing Systems (NeurIPS)Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh2025 · 17 citations
55. Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Chengwu Liu, Ye Yuan, Yichun Yin, et al.2025 · 17 citations
56. Mathematical exploration and discovery at scalearXiv:2511.02864Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao, et al.2025 · 16 citations
57. Solving Formal Math Problems by Decomposition and Iterative ReflectionarXiv:2507.15225Yichi Zhou, Jianqiu Zhao, Yongxin Zhang, et al.2025 · 16 citations
58. Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal MathematicsarXiv:2601.14027Junqi Liu, Zihao Zhou, Zekai Zhu, et al.2026 · 15 citations
59. Rewarding the Unlikely: Lifting GRPO Beyond Distribution SharpeningConference on Empirical Methods in Natural Language Processing (EMNLP)Andre Wang He, Daniel Fried, Sean Welleck2025 · 15 citations
60. DafnyBench: A Benchmark for Formal Software VerificationarXiv:2406.08467Chloe Loughridge, Qinyi Sun, Seth Ahrenbach, et al.2024 · 15 citations
61. Prover Agent: An Agent-Based Framework for Formal Mathematical ProofsarXiv:2506.19923Kaito Baba, Chaoran Liu, Shuhei Kurita, et al.2025 · 14 citations
62. Proving Olympiad Algebraic Inequalities without Human DemonstrationsConference on Neural Information Processing Systems (NeurIPS)Chenrui Wei, Mengzhou Sun, Wei Wang2024 · 12 citations
63. Proving Olympiad Inequalities by Synergizing LLMs and Symbolic ReasoningarXiv:2502.13834Zenan Li, Zhaoyu Li, Wen Tang, et al.2025 · 11 citations
64. REAL-Prover: Retrieval Augmented Lean Prover for Mathematical ReasoningarXiv:2505.20613Ziju Shen, Naohao Huang, Fanyi Yang, et al.2025 · 10 citations
65. SubgoalXL: Subgoal-based Expert Learning for Theorem ProvingarXiv:2408.11172Xueliang Zhao, Lin Zheng, Haige Bo, et al.2024 · 10 citations
66. Proposing and solving olympiad geometry with guided tree searcharXiv:2412.10673Chi Zhang, Jiajun Song, Siyu Li, et al.2024 · 8 citations
67. SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingarXiv:2310.02227Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, et al.2023 · 8 citations
68. Reviving DSP for Advanced Theorem Proving in the Era of Reasoning ModelsConference on Neural Information Processing Systems (NeurIPS)Chenrui Cao, Liangcheng Song, Zenan Li, et al.2025 · 7 citations
69. Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-ProversarXiv:2509.06493Ran Xin, Zeyu Zheng, Yanchen Nie, et al.2025 · 7 citations
70. 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
71. Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem ProvingarXiv:2507.02726Matthieu Zimmer, Xiaotong Ji, Rasul Tutunov, et al.2025 · 5 citations
72. Premise Selection for a Lean HammerarXiv:2506.07477Thomas Zhu, Joshua Clune, Jeremy Avigad, et al.2025 · 5 citations
73. StepFun-Prover Preview: Let's Think and Verify Step by SteparXiv:2507.20199Shijie Shang, Ruosi Wan, Yue Peng, et al.2025 · 5 citations
74. ImProver: Agent-Based Automated Proof OptimizationarXiv:2410.04753Riyaz Ahuja, Jeremy Avigad, Prasad Tetali, et al.2024 · 5 citations
75. miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path ForwardConference on Neural Information Processing Systems (NeurIPS)Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh2025 · 4 citations
76. MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data CurationConference on Neural Information Processing Systems (NeurIPS)Zhenwen Liang, Linfeng Song, Yang Li, et al.2025 · 4 citations
77. Open Problems Solved by LLMs? A Survey of Verifiable Mathematical DiscoveryBig Picture v2: Crafting a Research NarrativeIoannis Tzachristas, Georgios Tzachristas, Aifen Sui2026

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