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Who cites Zhengyang Tang

312 citations of their works from 296 papers of our library (of the 149,439 whose bibliographies we read) · 105 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Zhengyang Tang

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  1. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
  2. Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-ImprovementarXiv:2409.12122An Yang, Beichen Zhang, Binyuan Hui, et al.2024 · 417 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. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
  5. Humanity's Last ExamNatureLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 256 citations
  6. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?arXiv:2504.13837 · NeurIPS 2025 Oral; ICML 2025 AI4MATH workshop best paperYang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 216 citations
  7. Scaling Synthetic Data Creation with 1,000,000,000 PersonasarXiv:2406.20094Tao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 171 citations
  8. The Lessons of Developing Process Reward Models in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.2025 · 161 citations
  9. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingarXiv:2406.08464Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 148 citations
  10. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingarXiv:2501.04519Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
  11. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningarXiv:2503.04697Pranjal Aggarwal, Sean Welleck2025 · 125 citations
  12. ProcessBench: Identifying Process Errors in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
  13. Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement LearningarXiv:2502.14768Tian Xie, Zitian Gao, Qingnan Ren, et al.2025 · 104 citations
  14. The Entropy Mechanism of Reinforcement Learning for Reasoning Language ModelsarXiv:2505.22617Ganqu Cui, Yuchen Zhang, Jiacheng Chen, et al.2025 · 101 citations
  15. MathArena: Evaluating LLMs on Uncontaminated Math CompetitionsConference on Neural Information Processing Systems (NeurIPS)Mislav Balunović, Jasper Dekoninck, Ivo Petrov, et al.2025 · 99 citations
  16. FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AIarXiv:2411.04872Elliot Glazer, Ege Erdil, Tamay Besiroglu, et al.2024 · 97 citations
  17. MAmmoTH2: Scaling Instructions from the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 96 citations
  18. SuperGPQA: Scaling LLM Evaluation across 285 Graduate DisciplinesarXiv:2502.14739M-A-P Team, Xinrun Du, Yifan Yao, et al.2025 · 89 citations
  19. Reinforcement Learning for Reasoning in Large Language Models with One Training ExampleConference on Neural Information Processing Systems (NeurIPS)Yiping Wang, Qing Yang, Zhiyuan Zeng, et al.2025 · 87 citations
  20. Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and BeyondAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Wen, Yunke Cai, Fenrui Xiao, et al.2025 · 84 citations
  21. DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-SolvingarXiv:2407.13690Yuxuan Tong, Xiwen Zhang, Rui Wang, et al.2024 · 81 citations
  22. 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
  23. 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
  24. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
  25. Instruction Pre-Training: Language Models are Supervised Multitask LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.2024 · 59 citations
  26. AdaptThink: Reasoning Models Can Learn When to ThinkConference on Empirical Methods in Natural Language Processing (EMNLP)Jiajie Zhang, Nianyi Lin, Lei Hou, et al.2025 · 44 citations
  27. Towards Thinking-Optimal Scaling of Test-Time Compute for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Wenkai Yang, Shuming Ma, Yankai Lin, et al.2025 · 43 citations
  28. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
  29. Towards Robust Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Thang Luong, Dawsen Hwang, Hoang H Nguyen, et al.2025 · 40 citations
  30. Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?Annual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2025 · 38 citations
  31. CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo RatingsarXiv:2501.01257Shanghaoran Quan, Jiaxi Yang, Bowen Yu, et al.2025 · 37 citations
  32. On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsarXiv:2410.15226Hao Chen, Abdul Waheed, Xiang Li, et al.2024 · 35 citations
  33. Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Yancheng He, Shilong Li, Jiaheng Liu, et al.2025 · 30 citations
  34. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Kejian Shi, Jacob Morrison, et al.2025 · 27 citations
  35. S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruotian Ma, Peisong Wang, Cheng Liu, et al.2025 · 26 citations
  36. TreeRL: LLM Reinforcement Learning with On-Policy Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenyu Hou, Ziniu Hu, Yujiang Li, et al.2025 · 26 citations
  37. 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
  38. PhysReason: A Comprehensive Benchmark towards Physics-Based ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Zhang, Yuxuan Dong, Yanrui Wu, et al.2025 · 25 citations
  39. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
  40. A Survey of Large Language Models for Arabic Language and its DialectsACM Transactions on Asian and Low-Resource Language Information ProcessingMalak Mashaabi, Shahad Al-Khalifa, Hend Al-Khalifa2024 · 24 citations
  41. 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
  42. Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLMWorkshop on African Natural Language ProcessingYazeed Alnumay, Alexandre Barbet, Anna Bialas, et al.2025 · 18 citations
  43. R-PRM: Reasoning-Driven Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Shuaijie She, Junxiao Liu, Yifeng Liu, et al.2025 · 18 citations
  44. VerIF: Verification Engineering for Reinforcement Learning in Instruction FollowingConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2025 · 18 citations
  45. On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic PhenomenaConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tarek Naous, Wei Xu2025 · 15 citations
  46. Preference Optimization for Reasoning with Pseudo FeedbackarXiv:2411.16345Fangkai Jiao, Geyang Guo, Xingxing Zhang, et al.2024 · 15 citations
  47. Alignment at Pre-training! Towards Native Alignment for Arabic LLMsConference on Neural Information Processing Systems (NeurIPS)Juhao Liang, Zhenyang Cai, Jianqing Zhu, et al.2024 · 14 citations
  48. 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
  49. Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual ProgressarXiv:2408.14960Ayomide Odumakinde, Daniel D'souza, Pat Verga, et al.2024 · 12 citations
  50. Fanar 2.0: Arabic Generative AI StackarXiv:2603.16397FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, et al.2026 · 11 citations
  51. Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhe Yang, Yichang Zhang, Yudong Wang, et al.2025 · 11 citations
  52. Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary ExpansionAnnual Meeting of the Association for Computational Linguistics (ACL)Jianqing Zhu, Huang Huang, Zhihang Lin, et al.2025 · 11 citations
  53. 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
  54. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
  55. Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant EvaluationarXiv:2501.14275Sadegh Mahdavi, Muchen Li, Kaiwen Liu, et al.2025 · 10 citations
  56. MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction FusionAnnual Meeting of the Association for Computational Linguistics (ACL)Qizhi Pei, Lijun Wu, Zhuoshi Pan, et al.2025 · 10 citations
  57. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
  58. Examining False Positives under Inference Scaling for Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Yu Wang, Nan Yang, Liang Wang, et al.2025 · 9 citations
  59. HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget ReallocationConference on Empirical Methods in Natural Language Processing (EMNLP)Feng Xiong, Hongling Xu, Yifei Wang, et al.2025 · 9 citations
  60. Nile-Chat: Egyptian Language Models for Arabic and Latin ScriptsArabic Natural Language Processing Conference (ArabicNLP)Guokan Shang, Hadi Abdine, Ahmad Chamma, et al.2025 · 9 citations
  61. 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
  62. TemplateRL: Structured Template-Guided Reinforcement Learning for LLM ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Chonghua Liao, Mingkuan Feng, et al.2026 · 8 citations
  63. FastMCTS: A Simple Sampling Strategy for Data SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Peiji Li, Kai Lv, Yunfan Shao, et al.2025 · 8 citations
  64. LogicPro: Improving Complex Logical Reasoning via Program-Guided LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Jiang, Yuchen Yan, Yang Liu, et al.2025 · 8 citations
  65. ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationarXiv:2510.24592Guoxin Chen, Jing Wu, Xinjie Chen, et al.2025 · 8 citations
  66. Efficient Reasoning for LLMs through Speculative Chain-of-ThoughtFindings of the Association for Computational LinguisticsJikai Wang, Juntao Li, Jianye Hou, et al.2026 · 6 citations
  67. OctoTools: A Multi-Agent Framework with Extensible Tools for Complex ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Pan Lu, Bowen Chen, Sheng Liu, et al.2026 · 5 citations
  68. Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Erxin Yu, Jing Li, Ming Liao, et al.2025 · 5 citations
  69. Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data GenerationarXiv:2407.16008Jiaming Shen, Ran Xu, Yennie Jun, et al.2024 · 5 citations
  70. Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical ReasoningFindings of the Association for Computational LinguisticsJun Rao, Xuebo Liu, Hexuan Deng, et al.2026 · 4 citations
  71. Beyond Templates: Dynamic Adaptation of Reasoning Demonstrations via Feasibility-Aware ExplorationFindings of the Association for Computational LinguisticsYong Wu, Weihang Pan, Ke Li, et al.2026 · 3 citations
  72. 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
  73. REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at OnceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuoshi Pan, Qizhi Pei, Yu Li, et al.2026 · 3 citations
  74. Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier MathAnnual Meeting of the Association for Computational Linguistics (ACL)Shrey Pandit, Austin Xu, Xuan-Phi Nguyen, et al.2026 · 2 citations
  75. One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Yixiao Zhou, Dongzhou Cheng, Zhiliang wu, et al.2026 · 2 citations
  76. Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongjiang Liu, Haoxi Li, Xiaosong Ma, et al.2026 · 2 citations
  77. 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
  78. A Survey on LLM-based Conversational User SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bo Ni, Yu Wang, Leyao Wang, et al.2026 · 1 citation
  79. Correct, Concise and Complete: Multi-stage Training For Adaptive ReasoningFindings of the Association for Computational LinguisticsNathanaël Carraz Rakotonirina, Ren Pang, Neha Anna John, et al.2026 · 1 citation
  80. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-ReflectionFindings of the Association for Computational LinguisticsZhuoyang Wu, Xinze Li, Zhenghao Liu, et al.2026 · 1 citation
  81. IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Bosi Wen, Yilin Niu, Cunxiang Wang, et al.2026 · 1 citation
  82. Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data SelectionFindings of the Association for Computational LinguisticsJoe Stacey, Lisa Alazraki, Aran Ubhi, et al.2026 · 1 citation
  83. Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search TrajectoriesAnnual Meeting of the Association for Computational Linguistics (ACL)Peiyang Liu, Zhirui Chen, Xi Wang, et al.2026 · 1 citation
  84. ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided DecodingFindings of the Association for Computational LinguisticsSangjun Song, Minjae Oh, Seungkyu Lee, et al.2026 · 1 citation
  85. AraEval: An Arabic Multi-Task Evaluation Suite for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.2025 · 1 citation
  86. A Layer-wise Analysis of Supervised Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Qinghua Zhao, Xueling Gong, Xinyu Chen, et al.2026
  87. A Teacher-Student Approach to Creating Verified Synthetic Clarification and Correction Dialogues for TableQA TasksLanguage Resources and Evaluation Conference (LREC)Christian Poelitz, Nick McKenna2026
  88. AdaMix: Adaptive Mixing for Short and Long Reasoning AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Luo, Xiao Yan, Xinyan Li, et al.2026
  89. AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool UseAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanjie Lyu, Chengyu Wang, Haonan Zheng, et al.2026
  90. Assessing Suicide Risk in Arabic Crisis Helpline Calls: A Comparison of Arabic and English Large Language ModelsarXiv:2609.00191Linhai Ma, Rita El Hachem, Mahatab El Hajj, et al.2026
  91. BARRAC: Adaptation of an English Aspect-based Sentiment Analysis Approach for Classification Tasks in Arabic DialectsarXiv:2609.38820Ali Almutairi, Gelareh Mohammadi, Imran Razzak, et al.2026
  92. Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data SynthesisConference of the European Chapter of the Association for Computational Linguistics (EACL)Shuhaib Mehri, Xiusi Chen, Heng Ji, et al.2026
  93. CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhuo Wang, Zhuo Zhang, Yafu Li, et al.2026
  94. EduMARS: Can Vision-Language Models Grade Like Teachers? Benchmarking Multimodal, Rubric-Based Assessment on Chinese K-12 AnswersFindings of the Association for Computational LinguisticsXuan Zhao, Jiashun Chen, Wanting xu, et al.2026
  95. PersonaTrace: Synthesizing Realistic Digital Footprints with LLM AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Minjia Wang, Yunfeng Wang, Xiao Ma, et al.2026
  96. ReActR: Reasoning through Error-Activated Reflection for LLM Post-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Lina Sun2026
  97. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function LibraryFindings of the Association for Computational LinguisticsJiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, et al.2026
  98. Stabilizing Efficient Reasoning with Step-Level Advantage SelectionFindings of the Association for Computational LinguisticsHan Wang, Xiaodong Yu, Jialian Wu, et al.2026
  99. Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Dayu Wang, Jiaye Yang, Weikang Li, et al.2026
  100. Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-TuningLanguage Resources and Evaluation Conference (LREC)Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.2026

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