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Who cites Bin Sun

251 citations of their works from 246 papers of our library (of the 149,439 whose bibliographies we read) · 101 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Bin Sun

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  1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  2. Towards Reasoning in Large Language Models: A SurveyFindings of the Association for Computational LinguisticsJie Huang, Kevin Chen-Chuan Chang2023 · 780 citations
  3. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsarXiv:2309.12284Longhui Yu, Weisen Jiang, Han Shi, et al.2023 · 565 citations
  4. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
  5. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 322 citations
  6. Chain-of-Verification Reduces Hallucination in Large Language ModelsarXiv:2309.11495Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, et al.2023 · 305 citations
  7. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence ReviewXiaowei Huang, Wenjie Ruan, Wei Huang, et al.2023 · 199 citations
  8. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMsarXiv:2412.21187Xingyu Chen, Jiahao Xu, Tian Liang, et al.2024 · 192 citations
  9. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
  10. 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
  11. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP)Liyan Tang, Philippe Laban, Greg Durrett2024 · 166 citations
  12. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsTransactions of the Association for Computational Linguistics (TACL)Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 161 citations
  13. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
  14. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
  15. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesTransactions of the Association for Computational Linguistics (TACL)Liangming Pan, Michael Saxon, Wenda Xu, et al.2024 · 140 citations
  16. Deductive Verification of Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Zhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 130 citations
  17. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
  18. AlphaMath Almost Zero: Process Supervision without ProcessConference on Neural Information Processing Systems (NeurIPS)Guoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 120 citations
  19. LLM Self Defense: By Self Examination, LLMs Know They Are Being TrickedarXiv:2308.07308Mansi Phute, Alec Helbling, Matthew Hull, et al.2023 · 119 citations
  20. Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-VerificationarXiv:2308.07921Aojun Zhou, Ke Wang, Zimu Lu, et al.2023 · 110 citations
  21. Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?Annual Meeting of the Association for Computational Linguistics (ACL)Qineng Wang, Zihao Wang, Ying Su, et al.2024 · 107 citations
  22. Multi-Step Reasoning with Large Language Models, a SurveyACM Computing SurveysAske Plaat, Annie Wong, Suzan Verberne, et al.2024 · 106 citations
  23. TrueTeacher: Learning Factual Consistency Evaluation with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zorik Gekhman, Jonathan Herzig, Roee Aharoni, et al.2023 · 106 citations
  24. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem ComplexityConference on Neural Information Processing Systems (NeurIPS)Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, et al.2025 · 104 citations
  25. SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step ReasoningarXiv:2308.00436Ning Miao, Yee Whye Teh, Tom Rainforth2023 · 101 citations
  26. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityarXiv:2401.05459Yuanchun Li, Hao Wen, Weijun Wang, et al.2024 · 100 citations
  27. Why Do Multi-Agent LLM Systems Fail?arXiv:2503.13657Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.2025 · 89 citations
  28. LLMs Can't Plan, But Can Help Planning in LLM-Modulo FrameworksarXiv:2402.01817 · Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, et al.2024 · 88 citations
  29. Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and ObservationsFindings of the Association for Computational LinguisticsNuo Chen, Zinan Zheng, Ning Wu, et al.2024 · 86 citations
  30. LLMs cannot find reasoning errors, but can correct them given the error locationFindings of the Association for Computational LinguisticsGladys Tyen, Hassan Mansoor, Victor Carbune, et al.2024 · 85 citations
  31. OVM, Outcome-supervised Value Models for Planning in Mathematical ReasoningFindings of the Association for Computational LinguisticsFei Yu, Anningzhe Gao, Benyou Wang2023 · 78 citations
  32. G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language ModelarXiv:2312.11370Jiahui Gao, Renjie Pi, Jipeng Zhang, et al.2023 · 76 citations
  33. Self-Contrast: Better Reflection Through Inconsistent Solving PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Yongliang Shen, Linjuan Wu, et al.2024 · 75 citations
  34. Dynamic Early Exit in Reasoning ModelsarXiv:2504.15895Chenxu Yang, Qingyi Si, Yongjie Duan, et al.2025 · 74 citations
  35. Mutual Reasoning Makes Smaller LLMs Stronger Problem-SolversarXiv:2408.06195Zhenting Qi, Mingyuan Ma, Jiahang Xu, et al.2024 · 74 citations
  36. CycleResearcher: Improving Automated Research via Automated ReviewarXiv:2411.00816Yixuan Weng, Minjun Zhu, Guangsheng Bao, et al.2024 · 65 citations
  37. MARIO: MAth Reasoning with code Interpreter Output - A Reproducible PipelineFindings of the Association for Computational LinguisticsMinpeng Liao, Chengxi Li, Wei Luo, et al.2024 · 64 citations
  38. Deep Think with ConfidencearXiv:2508.15260Yichao Fu, Xuewei Wang, Yuandong Tian, et al.2025 · 61 citations
  39. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
  40. R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal FormalizationarXiv:2503.10615Yi Yang, Xiaoxuan He, Hongkun Pan, et al.2025 · 55 citations
  41. DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking ProcessAnnual Meeting of the Association for Computational Linguistics (ACL)Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2025 · 52 citations
  42. Reasoning Models Know When They're Right: Probing Hidden States for Self-VerificationarXiv:2504.05419Anqi Zhang, Yulin Chen, Jane Pan, et al.2025 · 52 citations
  43. Formal Mathematical Reasoning: A New Frontier in AIarXiv:2412.16075Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.2024 · 49 citations
  44. LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical ReasoningarXiv:2410.02884Di Zhang, Jianbo Wu, Jingdi Lei, et al.2024 · 49 citations
  45. Puzzle Solving using Reasoning of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, et al.2024 · 48 citations
  46. DeepSeek-R1 Thoughtology: Let's think about LLM ReasoningarXiv:2504.07128Sara Vera Marjanovic, Arkil Patel, Vaibhav Adlakha, et al.2025 · 47 citations
  47. NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity ClassesAnnual Meeting of the Association for Computational Linguistics (ACL)Lizhou Fan, Wenyue Hua, Lingyao Li, et al.2024 · 47 citations
  48. MathChat: Converse to Tackle Challenging Math Problems with LLM AgentsarXiv:2306.01337Yiran Wu; Feiran Jia; Shaokun Zhang; Hangyu Li; Erkang Zhu; Yue Wang; Yin Tat Lee; Richard Peng; Qingyun Wu;, Chi Wang2023 · 46 citations
  49. 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
  50. TinyGSM: achieving >80% on GSM8k with small language modelsarXiv:2312.09241Bingbin Liu, Sebastien Bubeck, Ronen Eldan, et al.2023 · 45 citations
  51. Forward-Backward Reasoning in Large Language Models for Mathematical VerificationFindings of the Association for Computational LinguisticsWeisen Jiang, Han Shi, Longhui Yu, et al.2024 · 44 citations
  52. On the Self-Verification Limitations of Large Language Models on Reasoning and Planning TasksarXiv:2402.08115Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati2024 · 42 citations
  53. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
  54. Let's reward step by step: Step-Level reward model as the Navigators for ReasoningarXiv:2310.10080Qianli Ma, Haotian Zhou, Tingkai Liu, et al.2023 · 40 citations
  55. Efficient Reasoning Models: A SurveyarXiv:2504.10903Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.2025 · 37 citations
  56. Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning PerspectivearXiv:2412.14135Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2024 · 33 citations
  57. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
  58. Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM SamplingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guangya Wan, Yuqi Wu, Jie Chen, et al.2025 · 29 citations
  59. BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation ExperimentsarXiv:2405.17631Yusuf Roohani, Andrew Lee, Qian Huang, et al.2024 · 29 citations
  60. A Survey on Large Language Models for Mathematical ReasoningACM Computing SurveysPeng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, et al.2025 · 26 citations
  61. StateFlow: Enhancing LLM Task-Solving through State-Driven WorkflowsarXiv:2403.11322Yiran Wu, Tianwei Yue, Shaokun Zhang, et al.2024 · 25 citations
  62. Personality Alignment of Large Language ModelsarXiv:2408.11779Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2024 · 21 citations
  63. MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Justin Chen, Archiki Prasad, Swarnadeep Saha, et al.2025 · 20 citations
  64. MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Linzhuang Sun, Hao Liang, Jingxuan Wei, et al.2025 · 19 citations
  65. 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
  66. Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and PlanningarXiv:2312.05230Zhiting Hu, Tianmin Shu2023 · 18 citations
  67. DeepScientist: Advancing Frontier-Pushing Scientific Findings ProgressivelyarXiv:2509.26603Yixuan Weng, Minjun Zhu, Qiujie Xie, et al.2025 · 17 citations
  68. MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Shuo Yin, Weihao You, Zhilong Ji, et al.2024 · 17 citations
  69. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
  70. ChemAgent: Self-updating Library in Large Language Models Improves Chemical ReasoningarXiv:2501.06590Xiangru Tang, Tianyu Hu, Muyang Ye, et al.2025 · 15 citations
  71. Preference Optimization for Reasoning with Pseudo FeedbackarXiv:2411.16345Fangkai Jiao, Geyang Guo, Xingxing Zhang, et al.2024 · 15 citations
  72. EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Shi, Rongkeng Liang, Yong Xu2025 · 14 citations
  73. Neuro-Symbolic Data Generation for Math ReasoningConference on Neural Information Processing Systems (NeurIPS)Zenan Li, Zhi Zhou, Yuan Yao, et al.2024 · 14 citations
  74. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnarXiv:2407.08348Liang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
  75. Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsYuan Sui, Yufei He, Tri Cao, et al.2026 · 13 citations
  76. Dynamic Parallel Tree Search for Efficient LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yifu Ding, Wentao Jiang, Shunyu Liu, et al.2025 · 13 citations
  77. AI Scientists Fail Without Strong Implementation CapabilityarXiv:2506.01372Minjun Zhu, Qiujie Xie, Yixuan Weng, et al.2025 · 12 citations
  78. Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical ReasoningConference on Neural Information Processing Systems (NeurIPS)Feng Chen, Allan Raventos, Nan Cheng, et al.2025 · 9 citations
  79. CER: Confidence Enhanced Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ali Razghandi, Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah2025 · 8 citations
  80. MetaScale: Test-Time Scaling with Evolving Meta-ThoughtsFindings of the Association for Computational LinguisticsQin Liu, Wenxuan Zhou, Nan Xu, et al.2026 · 7 citations
  81. R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement LearningFindings of the Association for Computational LinguisticsQingfei Zhao, Ruobing Wang, Dingling Xu, et al.2026 · 7 citations
  82. Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Renliang Sun, Wei Cheng, Dawei Li, et al.2026 · 7 citations
  83. Weaver: Interweaving SQL and LLM for Table ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Rohit Khoja, Devanshu Gupta, Yanjie Fu, et al.2025 · 6 citations
  84. Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic ConfidenceAnnual Meeting of the Association for Computational Linguistics (ACL)Amirhosein Ghasemabadi, Keith G. Mills, Baochun Li, et al.2026 · 4 citations
  85. PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question AnsweringWookje Han, Jinsol Park, Kyungjae Lee2023 · 4 citations
  86. Exploring Iterative Controllable Summarization with Large Language ModelsFindings of the Association for Computational LinguisticsSangwon Ryu, Heejin Do, Daehui Kim, et al.2026 · 2 citations
  87. Harnessing Consistency for Robust Test-Time LLM EnsembleFindings of the Association for Computational LinguisticsZhichen Zeng, Qi Yu, Xiao Lin, et al.2026 · 2 citations
  88. 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
  89. VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering and Candidate Answer SelectionFindings of the Association for Computational LinguisticsJames Petullo, Sonny George, Dylan Cashman, et al.2026 · 1 citation
  90. AdapThink: Adaptive Thinking Preferences for Reasoning Language ModelsFindings of the Association for Computational LinguisticsWenyue Xu, Xu Wan, Wei Wang, et al.2026
  91. CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Dingling Xu, Ruobing Wang, Qingfei Zhao, et al.2026
  92. Confidence-Weighted Token Set Cover for Early Hypothesis Pruning in Self-ConsistencyFindings of the Association for Computational LinguisticsMd Arafat Sultan, Ramón Fernandez Astudillo2026
  93. Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenyun Yin, Shujie Wang, Xuhong Wang, et al.2026
  94. GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaohan Zhang, Ziquan Liu, Ioannis Patras2026
  95. Joint Optimization of Training Data and Policy in RLHFFindings of the Association for Computational LinguisticsZhuohao Yu, Jiali Zeng, Weizheng Gu, et al.2026
  96. KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiao Zhang, Qianru Meng, Yongjian Chen, et al.2026
  97. ReActR: Reasoning through Error-Activated Reflection for LLM Post-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Lina Sun2026
  98. Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM ReasoningFindings of the Association for Computational LinguisticsRaman Saparkhan, Majd Hawasly, Md Rizwan Parvez, et al.2026
  99. Taming Object Hallucinations with Verified Atomic Confidence EstimationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiarui Liu, Weihao Xuan, Zhijing Jin, et al.2026
  100. Think Faster Than Words: Efficient LLM Chain-of-Thought Reasoning via Dynamic Shortcut DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Liu, Yanhao Wang, Min Zhang, et al.2026

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