🧑‍🔬 Who cites Kaiyu Yang

423 citations of their works from 283 papers of our library (of the 149,439 whose bibliographies we read) · 59 with a page here, the most cited first · ← Kaiyu Yang

1. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
2. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
3. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
4. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
5. Llemma: An Open Language Model For MathematicsarXiv:2310.10631Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 286 citations
6. Large Language Models for Mathematical Reasoning: Progresses and ChallengesConference of the European Chapter of the Association for Computational Linguistics (EACL)Janice Ahn, Rishu Verma, Renze Lou, et al.2024 · 280 citations
7. MiniF2F: a cross-system benchmark for formal Olympiad-level mathematicsarXiv:2109.00110Kunhao Zheng, Jesse Michael Han, Stanislas Polu2021 · 257 citations
8. 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
9. Generative Language Modeling for Automated Theorem ProvingarXiv:2009.03393Stanislas Polu, Ilya Sutskever2020 · 241 citations
10. AlphaEvolve: A coding agent for scientific and algorithmic discoveryarXiv:2506.13131Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.2025 · 202 citations
11. Will we run out of data? Limits of LLM scaling based on human-generated dataarXiv:2211.04325Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.2022 · 198 citations
12. 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
13. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
14. Baldur: Whole-Proof Generation and Repair with Large Language ModelsarXiv:2303.04910Emily First, Markus N. Rabe, Talia Ringer, et al.2023 · 175 citations
15. ProofNet: Autoformalizing and Formally Proving Undergraduate-Level MathematicsarXiv:2302.12433Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, et al.2023 · 142 citations
16. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
17. Formal Mathematics Statement Curriculum LearningarXiv:2202.01344Stanislas Polu, Jesse Michael Han, Kunhao Zheng, et al.2022 · 133 citations
18. A Survey on Recent Advances in LLM-Based Multi-turn Dialogue SystemsACM Computing SurveysZihao Yi, Jiarui Ouyang, Zhe Xu, et al.2024 · 130 citations
19. 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
20. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
21. 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
22. DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic DataarXiv:2405.14333Huajian Xin, Daya Guo, Zhihong Shao, et al.2024 · 111 citations
23. 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
24. Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement LearningarXiv:2504.11354Haiming Wang, Mert Unsal, Xiaohan Lin, et al.2025 · 92 citations
25. InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningarXiv:2402.06332Huaiyuan Ying, Shuo Zhang, Linyang Li, et al.2024 · 90 citations
26. Goedel-Prover: A Frontier Model for Open-Source Automated Theorem ProvingarXiv:2502.07640Yong Lin, Shange Tang, Bohan Lyu, et al.2025 · 84 citations
27. Proof Artifact Co-training for Theorem Proving with Language ModelsarXiv:2102.06203Jesse Michael Han, Jason Rute, Yuhuai Wu, et al.2021 · 82 citations
28. 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
29. LEGO-Prover: Neural Theorem Proving with Growing LibrariesarXiv:2310.00656Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.2023 · 79 citations
30. BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalarXiv:2407.12883Hongjin Su, Howard Yen, Mengzhou Xia, et al.2024 · 77 citations
31. NaturalProofs: Mathematical Theorem Proving in Natural LanguagearXiv:2104.01112Sean Welleck, Jiacheng Liu, Ronan Le Bras, et al.2021 · 76 citations
32. Recursive Introspection: Teaching Language Model Agents How to Self-ImproveConference on Neural Information Processing Systems (NeurIPS)Yuxiao Qu, Tianjun Zhang, Naman Garg, et al.2024 · 75 citations
33. Cumulative Reasoning with Large Language ModelsarXiv:2308.04371Yifan Zhang, Jingqin Yang, Yang Yuan, et al.2023 · 74 citations
34. 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
35. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
36. HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem ProvingarXiv:2412.20735Yang Li, Dong Du, Linfeng Song, et al.2024 · 25 citations
37. StateFlow: Enhancing LLM Task-Solving through State-Driven WorkflowsarXiv:2403.11322Yiran Wu, Tianwei Yue, Shaokun Zhang, et al.2024 · 25 citations
38. Aligning LLMs with Individual Preferences via InteractionInternational Conference on Computational Linguistics (COLING)Shujin Wu, Yi R. Fung, Cheng Qian, et al.2025 · 24 citations
39. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
40. 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
41. 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
42. FormalAlign: Automated Alignment Evaluation for AutoformalizationarXiv:2410.10135Jianqiao Lu, Yingjia Wan, Yinya Huang, et al.2024 · 18 citations
43. 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
44. 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
45. CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Ong Jun Leang, Aryo Pradipta Gema, Shay B. Cohen2025 · 14 citations
46. 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
47. BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical SciencearXiv:2407.00466Xinna Lin, Siqi Ma, Junjie Shan, et al.2024 · 12 citations
48. 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
49. REAL-Prover: Retrieval Augmented Lean Prover for Mathematical ReasoningarXiv:2505.20613Ziju Shen, Naohao Huang, Fanyi Yang, et al.2025 · 10 citations
50. Theorem Prover as a Judge for Synthetic Data GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Joshua Ong Jun Leang, Giwon Hong, Wenda Li, et al.2025 · 9 citations
51. ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationarXiv:2510.24592Guoxin Chen, Jing Wu, Xinjie Chen, et al.2025 · 8 citations
52. 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
53. StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning FusionarXiv:2508.04440Yutong Wu, Di Huang, Ruosi Wan, et al.2025 · 7 citations
54. A New Approach Towards AutoformalizationarXiv:2310.07957Nilay Patel, Rahul Saha, Jeffrey Flanigan2023 · 7 citations
55. EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem SolvingFindings of the Association for Computational LinguisticsXiyuan Zhou, Xinlei Wang, Yirui He, et al.2026 · 3 citations
56. 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
57. 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
58. From Natural Language to Certified Geometry Proofs: A Survey of LLM-Augmented Verification and Neuro-Symbolic Theorem ProvingBig Picture v2: Crafting a Research NarrativeIoannis Tzachristas, Georgios Tzachristas2026
59. Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhikun Xu, Xiaodong Yu, Ben Zhou, et al.2026

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