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Who cites Daoguang Zan

390 citations of their works from 371 papers of our library (of the 149,439 whose bibliographies we read) · 104 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Daoguang Zan

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  1. Qwen Technical ReportarXiv:2309.16609Jinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,669 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. Active Retrieval Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhengbao Jiang, Frank Xu, Luyu Gao, et al.2023 · 872 citations
  4. SWE-bench: Can Language Models Resolve Real-World GitHub Issues?arXiv:2310.06770Carlos E. Jimenez, John Yang, Alexander Wettig, et al.2024 · 704 citations
  5. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
  6. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodearXiv:2403.07974Naman Jain, King Han, Alex Gu, et al.2024 · 578 citations
  7. Qwen2.5-Coder Technical ReportarXiv:2409.12186Binyuan Hui, Jian Yang, Zeyu Cui, et al.2024 · 559 citations
  8. 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
  9. Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyarXiv:2305.15294Zhihong Shao, Yeyun Gong, Yelong Shen, et al.2023 · 383 citations
  10. A Survey on Large Language Models for Code GenerationarXiv:2406.00515Juyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 367 citations
  11. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
  12. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  13. 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
  14. Humanity's Last ExamNatureLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 256 citations
  15. 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
  16. 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
  17. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsarXiv:2406.15877Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 176 citations
  18. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionarXiv:2502.11089Jingyang Yuan, Huazuo Gao, Damai Dai, et al.2025 · 142 citations
  19. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningarXiv:2503.04697Pranjal Aggarwal, Sean Welleck2025 · 125 citations
  20. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations
  21. 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
  22. Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement LearningarXiv:2502.14768Tian Xie, Zitian Gao, Qingnan Ren, et al.2025 · 104 citations
  23. OpenCoder: The Open Cookbook for Top-Tier Code Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Huang, Tianhao Cheng, Jason Klein Liu, et al.2025 · 81 citations
  24. CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file ContextLanguage Resources and Evaluation Conference (LREC)Yangruibo Ding, Zijian Wang, Wasi Ahmad, et al.2024 · 45 citations
  25. 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
  26. 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
  27. Towards Robust Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Thang Luong, Dawsen Hwang, Hoang H Nguyen, et al.2025 · 40 citations
  28. 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
  29. 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
  30. ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level CodearXiv:2311.09835Xiangru Tang, Yuliang Liu, Zefan Cai, et al.2023 · 33 citations
  31. AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZInternational Conference on Learning Representations (ICLR)Jonas Belouadi, Anne Lauscher, Steffen Eger2023 · 31 citations
  32. 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
  33. CoIR: A Comprehensive Benchmark for Code Information Retrieval ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyang Li, Kuicai Dong, Yi Quan Lee, et al.2025 · 29 citations
  34. Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed InferencearXiv:2508.02193Yuxuan Song, Zheng Zhang, Cheng Luo, et al.2025 · 28 citations
  35. Can Language Models Solve Olympiad Programming?arXiv:2404.10952Quan Shi, Michael Tang, Karthik Narasimhan, et al.2024 · 28 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. Seed-Coder: Let the Code Model Curate Data for ItselfarXiv:2506.03524ByteDance Seed, Yuyu Zhang, Jing Su, et al.2025 · 25 citations
  40. 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
  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. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
  43. Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMsInternational Conference on Computational Linguistics (COLING)Yu Xia, Rui Wang, Xu Liu, et al.2025 · 19 citations
  44. 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
  45. 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
  46. Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case StudyInternational Conference on Computational Linguistics (COLING)Bowen Li, Wenhan Wu, Ziwei Tang, et al.2025 · 13 citations
  47. CodeR: Issue Resolving with Multi-Agent and Task GraphsarXiv:2406.01304Dong Chen, Shaoxin Lin, Muhan Zeng, et al.2024 · 13 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. 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
  50. 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
  51. 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
  52. AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Yun He, Wenzhe Li, Hejia Zhang, et al.2026 · 9 citations
  53. 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
  54. 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
  55. CodeS: Natural Language to Code Repository via Multi-Layer SketcharXiv:2403.16443Daoguang Zan, Ailun Yu, Wei Liu, et al.2024 · 9 citations
  56. 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
  57. M2RC-EVAL: Massively Multilingual Repository-level Code Completion EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaheng Liu, Ken Deng, Congnan Liu, et al.2025 · 8 citations
  58. On Many-Shot In-Context Learning for Long-Context EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Kaijian Zou, Muhammad Khalifa, Lu Wang2025 · 8 citations
  59. ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationarXiv:2510.24592Guoxin Chen, Jing Wu, Xinjie Chen, et al.2025 · 8 citations
  60. Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple ActionsAnnual Meeting of the Association for Computational Linguistics (ACL)Guo Gan, Yuxuan Ding, Cong Chen, et al.2026 · 7 citations
  61. SWE-QA: Can Language Models Answer Repository-level Code Questions?Findings of the Association for Computational LinguisticsWeihan Peng, Yuling Shi, Yuhang Wang, et al.2026 · 7 citations
  62. From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Jiajun Zhang, Zeyu Cui, Jiaxi Yang, et al.2026 · 6 citations
  63. 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
  64. Behavior Knowledge Merge in Reinforced Agentic ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchi Yuan, Dachuan Shi, Chunhui Zhang, et al.2026 · 3 citations
  65. 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
  66. 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
  67. Scaling Laws for Code: A More Data-Hungry RegimeAnnual Meeting of the Association for Computational Linguistics (ACL)Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu, et al.2026 · 3 citations
  68. 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
  69. MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing MechanismsFindings of the Association for Computational LinguisticsYibo Wang, Congying Xia, Wenting Zhao, et al.2026 · 2 citations
  70. 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
  71. PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric RecordsAnnual Meeting of the Association for Computational Linguistics (ACL)Yibo Lyu, Gongwei Chen, Rui Shao, et al.2026 · 2 citations
  72. 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
  73. 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
  74. CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Qiushi Sun, Jingyang Gong, Lei Li, et al.2026 · 1 citation
  75. CodeMEM: AST-Guided Adaptive Memory for Repository-Level Iterative Code GenerationFindings of the Association for Computational LinguisticsPeiding Wang, Li Zhang, Fang Liu, et al.2026 · 1 citation
  76. ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Jihong Wang, Jiamu Zhou, Weiming Zhang, et al.2026 · 1 citation
  77. 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
  78. 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
  79. From Off-Policy to On-Policy: Enhancing GUI Agents via Bi-level Expert-to-Policy AssimilationAnnual Meeting of the Association for Computational Linguistics (ACL)Zezhou Wang, Ziyun Zhang, Xiaoyi Zhang, et al.2026 · 1 citation
  80. 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
  81. 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
  82. RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World RepositoriesFindings of the Association for Computational LinguisticsYanlin Wang, Ziyao Zhang, Chong Wang, et al.2026 · 1 citation
  83. RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to RepositoryAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Peng, Xin Yin, Pu Zhao, et al.2026 · 1 citation
  84. SpecAgent: A Speculative Retrieval and Forecasting Agent for Code CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)George Ma, Anurag Koul, Qi Chen, et al.2026 · 1 citation
  85. 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
  86. V-GameGym: Visual Game Generation for Code Large Language ModelsFindings of the Association for Computational LinguisticsWei Zhang, Jian Yang, Renshuai Tao, et al.2026 · 1 citation
  87. 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
  88. 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
  89. AIRCoder: Adaptive Integration of Multi-dimensional Retrieval for Repository-level Code CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Chuanqi Shi, Miao Gao, Zhiqiang Gao2026
  90. ArkRepoBench: A Repository-Level Code Completion Benchmark for HarmonyOS DevelopmentFindings of the Association for Computational LinguisticsYanlin Wang, Bowen Zhang, Yanli Wang, et al.2026
  91. From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Yanli Wang, Yanlin Wang, Bowen Zhang, et al.2026
  92. Late Code Chunking: A Code Chunking Strategy for Repository-Level Code CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Seungmin Oh, Eunseok Lee2026
  93. MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Libo Sun, Jiwen Zhang, Siyuan Wang, et al.2026
  94. Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Payel Santra, Lavisha Sharma, Madhusudan Ghosh, et al.2026
  95. Repairing Regex Vulnerabilities via Localization-Guided InstructionsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sicheol Sung, Joonghyuk Hahn, Yo-Sub Han2026
  96. Stabilizing Efficient Reasoning with Step-Level Advantage SelectionFindings of the Association for Computational LinguisticsHan Wang, Xiaodong Yu, Jialian Wu, et al.2026
  97. 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
  98. Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage ReweightingAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Wang, Qin Liu, Wenxuan Zhou, et al.2026
  99. Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient ReasoningFindings of the Association for Computational LinguisticsYi Sui, Chaozhuo Li, Dawei Song2026
  100. TVWorld: Foundations for Remote-Control TV AgentsFindings of the Association for Computational LinguisticsZhantao Ma, Quanfeng Lu, Shuai Zhong, et al.2026

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