Who cites Hugues de Saxcé
- 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
- 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
- Seed-Prover: Deep and Broad Reasoning for Automated Theorem ProvingarXiv:2507.23726Luoxin Chen, Jinming Gu, Liankai Huang, et al.2025 · 46 citations
- FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language ModelsarXiv:2505.02735Zhouliang Yu, Ruotian Peng, Keyi Ding, et al.2025 · 31 citations
- Aristotle: IMO-level Automated Theorem ProvingSuperIntelligence - Robotics - Safety & AlignmentTudor Achim, Alex Best, Alberto Bietti, et al.2025 · 29 citations
- Hilbert: Recursively Building Formal Proofs with Informal ReasoningarXiv:2509.22819Sumanth Varambally, Thomas Voice, Yanchao Sun, et al.2025 · 26 citations
- Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Sun, Yingqian Min, Zhipeng Chen, et al.2026 · 25 citations
- CombiBench: Benchmarking LLM Capability for Combinatorial MathematicsarXiv:2505.03171Junqi Liu, Xiaohan Lin, Jonas Bayer, et al.2025 · 20 citations
- Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from ExperiencearXiv:2512.17260Jiangjie Chen, Wenxiang Chen, Jiacheng Du, et al.2025 · 19 citations
- APOLLO: Automated LLM and Lean Collaboration for Advanced Formal ReasoningConference on Neural Information Processing Systems (NeurIPS)Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh2025 · 17 citations
- ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of DataConference on Neural Information Processing Systems (NeurIPS)Xiaoyang Liu, Kangjie Bao, Jiashuo Zhang, et al.2025 · 16 citations
- Solving Formal Math Problems by Decomposition and Iterative ReflectionarXiv:2507.15225Yichi Zhou, Jianqiu Zhao, Yongxin Zhang, et al.2025 · 16 citations
- 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
- 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
- Kimina Lean Server: A High-Performance Lean Server for Large-Scale VerificationarXiv:2504.21230Marco Dos Santos, Hugues de Saxcé, Haiming Wang, et al.2025 · 14 citations
- Prover Agent: An Agent-Based Framework for Formal Mathematical ProofsarXiv:2506.19923Kaito Baba, Chaoran Liu, Shuhei Kurita, et al.2025 · 14 citations
- CriticLean: Critic-Guided Reinforcement Learning for Mathematical FormalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongyuan Peng, Yifan Yao, Kaijing Ma, et al.2026 · 12 citations
- Autoformalization in the Era of Large Language Models: A SurveyarXiv:2505.23486Ke Weng, Lun Du, Sirui Li, et al.2025 · 11 citations
- The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical ProofsarXiv:2506.21621Jasper Dekoninck, Ivo Petrov, Kristian Minchev, et al.2025 · 11 citations
- Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum PhysicsarXiv:2510.12787Benjamin Breen, Marco Del Tredici, Jacob McCarran, et al.2025 · 9 citations
- Mathesis: Towards Formal Theorem Proving from Natural LanguagesarXiv:2506.07047Yu Xuejun, Jianyuan Zhong, Zijin Feng, et al.2025 · 9 citations
- ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationarXiv:2510.24592Guoxin Chen, Jing Wu, Xinjie Chen, et al.2025 · 8 citations
- Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Ruida Wang, Yuxin Li, Yi R. Fung, et al.2025 · 7 citations
- 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
- 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
- StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning FusionarXiv:2508.04440Yutong Wu, Di Huang, Ruosi Wan, et al.2025 · 7 citations
- Autoformalizer with Tool FeedbackarXiv:2510.06857Qi Guo; Jianing Wang; Jianfei Zhang; Deyang Kong; Xiangzhou Huang; Xiangyu Xi; Wei Wang; Jingang Wang; Xunliang Cai; Shikun Zhang;, Wei Ye2025 · 6 citations
- Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dadi Guo, Jiayu Liu, Zhiyuan Fan, et al.2026 · 5 citations
- Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem ProvingarXiv:2507.02726Matthieu Zimmer, Xiaotong Ji, Rasul Tutunov, et al.2025 · 5 citations
- Premise Selection for a Lean HammerarXiv:2506.07477Thomas Zhu, Joshua Clune, Jeremy Avigad, et al.2025 · 5 citations
- ProofFlow: A Dependency Graph Approach to Faithful Proof AutoformalizationarXiv:2510.15981Rafael Cabral, Tuan Manh Do, Xuejun Yu, et al.2025 · 5 citations
- StepFun-Prover Preview: Let's Think and Verify Step by SteparXiv:2507.20199Shijie Shang, Ruosi Wan, Yue Peng, et al.2025 · 5 citations
- miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path ForwardConference on Neural Information Processing Systems (NeurIPS)Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh2025 · 4 citations
- 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
- FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in LeanAnnual Meeting of the Association for Computational Linguistics (ACL)Jordan Meadows, Lan Zhang, Andre Freitas2026
This page in Markdown → https://md.research.elamur.ai/free/en/authors/hugues-de-saxce/cited-by/