🧑‍🔬 Who cites Zengzhi Wang

179 citations of their works from 167 papers of our library (of the 149,439 whose bibliographies we read) · 48 with a page here, the most cited first · ← Zengzhi Wang

1. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsarXiv:2402.03300Zhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,115 citations
2. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
3. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructarXiv:2308.09583Haipeng Luo, Qingfeng Sun, Can Xu, et al.2023 · 372 citations
4. LIMO: Less is More for ReasoningarXiv:2502.03387Yixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 209 citations
5. 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
6. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsarXiv:2410.07985Bofei Gao, Feifan Song, Zhe Yang, et al.2024 · 163 citations
7. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
8. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
9. A Careful Examination of Large Language Model Performance on Grade School ArithmeticConference on Neural Information Processing Systems (NeurIPS)Hugh Zhang, Jeff Da, Dean Lee, et al.2024 · 101 citations
10. MAmmoTH2: Scaling Instructions from the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 96 citations
11. InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningarXiv:2402.06332Huaiyuan Ying, Shuo Zhang, Linyang Li, et al.2024 · 90 citations
12. O1 Replication Journey: A Strategic Progress Report — Part 1arXiv:2410.18982Yiwei Qin, Xuefeng Li, Haoyang Zou, et al.2024 · 86 citations
13. 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
14. DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing ReasoningarXiv:2504.11456Zhiwei He, Tian Liang, Jiahao Xu, et al.2025 · 78 citations
15. BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalarXiv:2407.12883Hongjin Su, Howard Yen, Mengzhou Xia, et al.2024 · 77 citations
16. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
17. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and UnderstandingarXiv:2501.18362Yuxin Zuo, Shang Qu, Yifei Li, et al.2025 · 65 citations
18. Learning From Mistakes Makes LLM Better ReasonerarXiv:2310.20689Shengnan An, Zexiong Ma, Zeqi Lin, et al.2023 · 64 citations
19. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AIConference on Neural Information Processing Systems (NeurIPS)Zhen Huang, Zengzhi Wang, Shijie Xia, et al.2024 · 56 citations
20. Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A SurveyarXiv:2404.01869Philipp Mondorf, Barbara Plank2024 · 53 citations
21. On Memorization of Large Language Models in Logical ReasoningInternational Joint Conference on Natural Language Processing (IJCNLP)Chulin Xie, Yangsibo Huang, Chiyuan Zhang, et al.2025 · 45 citations
22. BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded DataAnnual Meeting of the Association for Computational Linguistics (ACL)Wenkai Li, Jiarui Liu, Andy Liu, et al.2025 · 42 citations
23. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
24. RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and RefinementConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jinhao Jiang, Jiayi Chen, Junyi Li, et al.2025 · 31 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. Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical ReasoningarXiv:2407.00782Zimu Lu, Aojun Zhou, Ke Wang, et al.2024 · 23 citations
27. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
28. A Survey of Post-Training Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanyu Lai, Xiao Liu, Junjie Gao, et al.2025 · 18 citations
29. Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper ReasoningFindings of the Association for Computational LinguisticsCan Xie, Ruotong Pan, Xiangyu Wu, et al.2026 · 15 citations
30. StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to ReasonAnnual Meeting of the Association for Computational Linguistics (ACL)Kaiyi Zhang, Ang Lv, Jinpeng Li, et al.2026 · 13 citations
31. Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Xingxuan Li, Weiwen Xu, Ruochen Zhao, et al.2025 · 13 citations
32. JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language ModelsarXiv:2501.14851Michael K. Chen, Xikun Zhang, Dacheng Tao2025 · 10 citations
33. Unearthing Large Scale Domain-Specific Knowledge from Public CorporaarXiv:2401.14624Zhaoye Fei, Yunfan Shao, Linyang Li, et al.2024 · 10 citations
34. From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical ProblemsarXiv:2410.18921A M Muntasir Rahman, Junyi Ye, Wei Yao, et al.2024 · 6 citations
35. LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhang, Yujiong Shen, Jingyi Deng, et al.2026 · 3 citations
36. Towards Stable and Effective Reinforcement Learning for Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Di Zhang, Xun Wu, Shaohan Huang, et al.2026 · 1 citation
37. AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage MarginAnnual Meeting of the Association for Computational Linguistics (ACL)Jian Xiong, Jingbo Zhou, Jingyong Ye, et al.2026
38. AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?Findings of the Association for Computational LinguisticsHenan Sun, Kaichi Yu, Yuyao Wang, et al.2026
39. Are LLM Benchmarks Already Contaminated? A Systematic Review of Contamination Detection MethodsWorkshop on Generation, Evaluation and Metrics (GEM)Erfan Nourbakhsh, Mohammad Sadegh Sirjani, Amir Mousavi, et al.2026
40. Benchmark Data Contamination in Underrepresented Languages: A Comprehensive Analysis Using Brazilian DataLanguage Resources and Evaluation Conference (LREC)Iriedson Souto Maior de Moraes Vilar, David Candeia Maia, João Brunet, et al.2026
41. Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoning Sun, Mingzhu Cai, Huang He, et al.2026
42. Improved Policy Optimization for Mixture-of-Experts Models: Importance Sampling and Rewarding from an Expert-Centric PerspectiveFindings of the Association for Computational LinguisticsYining Qian, Jinpeng Li, Fei Mi, et al.2026
43. Large-Scale Diverse Synthesis for Mid-TrainingFindings of the Association for Computational LinguisticsXuemiao Zhang, Chengying Tu, Can Ren, et al.2026
44. LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge PointsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuemiao Zhang, Can Ren, Chengying Tu, et al.2026
45. MUTANT: A Recipe for Multilingual Tokenizer DesignAnnual Meeting of the Association for Computational Linguistics (ACL)Souvik Rana, Ashish Kulkarni, Arul Menezes, et al.2026
46. RIFT: Repurposing Negative Samples via Reward-Informed Fine-TuningFindings of the Association for Computational LinguisticsZehua Liu, Shuqi Liu, Tao Zhong, et al.2026
47. SciPedia: Unlocking the Value of Scientific Data for Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yiwei Qin, Zhen Huang, Tiantian Mi, et al.2026
48. SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammadtaher Safarzadeh, Hitesh Laxmichand Patel, Afshin Oroojlooy, et al.2026

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