🧑‍🔬 Who cites George Tsoukalas

130 citations of their works from 118 papers of our library (of the 149,439 whose bibliographies we read) · 54 with a page here, the most cited first · ← George Tsoukalas

1. SWE-agent: Agent-Computer Interfaces Enable Automated Software EngineeringConference on Neural Information Processing Systems (NeurIPS)John Yang, Carlos E. Jimenez, Alexander Wettig, et al.2024 · 552 citations
2. Humanity's Last ExamNatureLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 256 citations
3. AlphaEvolve: A coding agent for scientific and algorithmic discoveryarXiv:2506.13131Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.2025 · 202 citations
4. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligencearXiv:2606.19348DeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 122 citations
5. 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
6. DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic DataarXiv:2405.14333Huajian Xin, Daya Guo, Zhihong Shao, et al.2024 · 111 citations
7. MathArena: Evaluating LLMs on Uncontaminated Math CompetitionsConference on Neural Information Processing Systems (NeurIPS)Mislav Balunović, Jasper Dekoninck, Ivo Petrov, et al.2025 · 99 citations
8. FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AIarXiv:2411.04872Elliot Glazer, Ege Erdil, Tamay Besiroglu, et al.2024 · 97 citations
9. 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
10. Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement LearningarXiv:2504.11354Haiming Wang, Mert Unsal, Xiaohan Lin, et al.2025 · 92 citations
11. Goedel-Prover: A Frontier Model for Open-Source Automated Theorem ProvingarXiv:2502.07640Yong Lin, Shange Tang, Bohan Lyu, et al.2025 · 84 citations
12. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
13. 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
14. Chain-of-Thought Reasoning In The Wild Is Not Always FaithfularXiv:2503.08679Ivan Arcuschin, Jett Janiak, Robert Krzyzanowski, et al.2025 · 52 citations
15. Lean-STaR: Learning to Interleave Thinking and ProvingarXiv:2407.10040Haohan Lin, Zhiqing Sun, Sean Welleck, et al.2024 · 51 citations
16. Formal Mathematical Reasoning: A New Frontier in AIarXiv:2412.16075Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.2024 · 49 citations
17. Seed-Prover: Deep and Broad Reasoning for Automated Theorem ProvingarXiv:2507.23726Luoxin Chen, Jinming Gu, Liankai Huang, et al.2025 · 46 citations
18. A Survey on Deep Learning for Theorem ProvingarXiv:2404.09939Zhaoyu Li, Jialiang Sun, Logan Murphy, et al.2024 · 46 citations
19. STP: Self-play LLM Theorem Provers with Iterative Conjecturing and ProvingarXiv:2502.00212Kefan Dong, Tengyu Ma2025 · 43 citations
20. 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
21. FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language ModelsarXiv:2505.02735Zhouliang Yu, Ruotian Peng, Keyi Ding, et al.2025 · 31 citations
22. Proof or Bluff? Evaluating LLMs on 2025 USA Math OlympiadarXiv:2503.21934Ivo Petrov, Jasper Dekoninck, Lyuben Baltadzhiev, et al.2025 · 31 citations
23. Aristotle: IMO-level Automated Theorem ProvingSuperIntelligence - Robotics - Safety & AlignmentTudor Achim, Alex Best, Alberto Bietti, et al.2025 · 29 citations
24. Hilbert: Recursively Building Formal Proofs with Informal ReasoningarXiv:2509.22819Sumanth Varambally, Thomas Voice, Yanchao Sun, et al.2025 · 26 citations
25. 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
26. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error DetectionFindings of the Association for Computational LinguisticsYibo Yan, Shen Wang, Jiahao Huo, et al.2026 · 23 citations
27. LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN proverarXiv:2407.17227Zijian Wu, Jiayu Wang, Dahua Lin, et al.2024 · 23 citations
28. LLMSTEP: LLM proofstep suggestions in LeanarXiv:2310.18457Sean Welleck, Rahul Saha2023 · 22 citations
29. The Limits of Inference Scaling Through ResamplingarXiv:2411.17501Benedikt Stroebl, Sayash Kapoor, Arvind Narayanan2024 · 21 citations
30. CombiBench: Benchmarking LLM Capability for Combinatorial MathematicsarXiv:2505.03171Junqi Liu, Xiaohan Lin, Jonas Bayer, et al.2025 · 20 citations
31. 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
32. Proving Theorems RecursivelyConference on Neural Information Processing Systems (NeurIPS)Haiming Wang, Huajian Xin, Zhengying Liu, et al.2024 · 19 citations
33. APOLLO: Automated LLM and Lean Collaboration for Advanced Formal ReasoningConference on Neural Information Processing Systems (NeurIPS)Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh2025 · 17 citations
34. 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
35. 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
36. Mathematical exploration and discovery at scalearXiv:2511.02864Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao, et al.2025 · 16 citations
37. Solving Formal Math Problems by Decomposition and Iterative ReflectionarXiv:2507.15225Yichi Zhou, Jianqiu Zhao, Yongxin Zhang, et al.2025 · 16 citations
38. Prover Agent: An Agent-Based Framework for Formal Mathematical ProofsarXiv:2506.19923Kaito Baba, Chaoran Liu, Shuhei Kurita, et al.2025 · 14 citations
39. Proving Olympiad Inequalities by Synergizing LLMs and Symbolic ReasoningarXiv:2502.13834Zenan Li, Zhaoyu Li, Wen Tang, et al.2025 · 11 citations
40. 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
41. 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
42. Mathesis: Towards Formal Theorem Proving from Natural LanguagesarXiv:2506.07047Yu Xuejun, Jianyuan Zhong, Zijin Feng, et al.2025 · 9 citations
43. ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationarXiv:2510.24592Guoxin Chen, Jing Wu, Xinjie Chen, et al.2025 · 8 citations
44. A Survey on Feedback-based Multi-step Reasoning for Large Language Models on MathematicsarXiv:2502.14333Ting-Ruen Wei, Haowei Liu, Xuyang Wu, et al.2025 · 7 citations
45. 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
46. StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning FusionarXiv:2508.04440Yutong Wu, Di Huang, Ruosi Wan, et al.2025 · 7 citations
47. 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
48. RLMEval: Evaluating Research-Level Neural Theorem ProvingFindings of the Association for Computational LinguisticsAuguste Poiroux, Antoine Bosselut, Viktor Kunčak2025 · 5 citations
49. ImProver: Agent-Based Automated Proof OptimizationarXiv:2410.04753Riyaz Ahuja, Jeremy Avigad, Prasad Tetali, et al.2024 · 5 citations
50. Do Not Step Into the Same River Twice: Learning to Reason from Trial and ErrorAnnual Meeting of the Association for Computational Linguistics (ACL)Chenming Tang, Hsiu-Yuan Huang, Weijie Liu, et al.2026 · 3 citations
51. A Survey of Deep Learning for Geometry Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Jianzhe Ma, Wenxuan Wang, Qin Jin2026 · 1 citation
52. A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Yang, Sihong Wu, Yilun Zhao, et al.2026
53. 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
54. PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language ModelsFindings of the Association for Computational LinguisticsZetian Ouyang, Linlin Wang, Gerard de Melo, et al.2026

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