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Who cites Yunbo Cao

549 citations of their works from 546 papers of our library (of the 149,439 whose bibliographies we read) · 116 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Yunbo Cao

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  1. Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 4,573 citations
  2. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,648 citations
  3. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  4. G-Eval: NLG Evaluation using Gpt-4 with Better Human AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Liu, Dan Iter, Yichong Xu, et al.2023 · 2,000 citations
  5. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateConference on Empirical Methods in Natural Language Processing (EMNLP)Tian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 651 citations
  6. Instruction-Following Evaluation for Large Language ModelsarXiv:2311.07911Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.2023 · 615 citations
  7. Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsAnnual Meeting of the Association for Computational Linguistics (ACL)Peiyi Wang, Lei Li, Zhihong Shao, et al.2024 · 497 citations
  8. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  9. ChatDev: Communicative Agents for Software DevelopmentarXiv:2307.07924Chen Qian, Wei Liu, Hongzhang Liu, et al.2023 · 385 citations
  10. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructarXiv:2308.09583Haipeng Luo, Qingfeng Sun, Can Xu, et al.2023 · 372 citations
  11. Orca: Progressive Learning from Complex Explanation Traces of GPT-4arXiv:2306.02707Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, et al.2023 · 369 citations
  12. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebatearXiv:2308.07201Chi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 359 citations
  13. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesConference on Neural Information Processing Systems (NeurIPS)Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 317 citations
  14. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  15. Ragas: Automated Evaluation of Retrieval Augmented GenerationarXiv:2309.15217Shahul Es, Jithin James, Luis Espinosa-Anke, et al.2023 · 283 citations
  16. HuatuoGPT, Towards Taming Language Model to Be a DoctorFindings of the Association for Computational LinguisticsHongbo Zhang, Junying Chen, Feng Jiang, et al.2023 · 282 citations
  17. Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsFindings of the Association for Computational LinguisticsPouya Pezeshkpour, Estevam Hruschka2023 · 261 citations
  18. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  19. AlpaGasus: Training A Better Alpaca with Fewer DataarXiv:2307.08701Lichang Chen, Shiyang Li, Jun Yan, et al.2023 · 220 citations
  20. Aligning Large Language Models with Human: A SurveyarXiv:2307.12966Yufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 202 citations
  21. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
  22. Preference Ranking Optimization for Human AlignmentProceedings of the AAAI Conference on Artificial IntelligenceFeifan Song, Bowen Yu, Minghao Li, et al.2023 · 188 citations
  23. Orca 2: Teaching Small Language Models How to ReasonarXiv:2311.11045Arindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 162 citations
  24. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningarXiv:2308.12032Ming Li, Yong Zhang, Zhitao Li, et al.2023 · 161 citations
  25. LLM-based NLG Evaluation: Current Status and ChallengesComputational LinguisticsMingqi Gao, Xinyu Hu, Xunjian Yin, et al.2025 · 153 citations
  26. Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, et al.2024 · 149 citations
  27. Justice or Prejudice? Quantifying Biases in LLM-as-a-JudgearXiv:2410.02736Jiayi Ye, Yanbo Wang, Yue Huang, et al.2024 · 148 citations
  28. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksarXiv:2406.18403Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024 · 141 citations
  29. SOTOPIA: Interactive Evaluation for Social Intelligence in Language AgentsarXiv:2310.11667Xuhui Zhou, Hao Zhu, Leena Mathur, et al.2023 · 138 citations
  30. Humans or LLMs as the Judge? A Study on Judgement BiasConference on Empirical Methods in Natural Language Processing (EMNLP)Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 133 citations
  31. Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Li, Yuqi Wang, Runxin Xu, et al.2024 · 129 citations
  32. AceGPT, Localizing Large Language Models in ArabicConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Huang Huang, Fei Yu, Jianqing Zhu, et al.2024 · 127 citations
  33. Generative Judge for Evaluating AlignmentarXiv:2310.05470Junlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 125 citations
  34. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
  35. RestGPT: Connecting Large Language Models with Real-World RESTful APIsarXiv:2306.06624Yifan Song, Weimin Xiong, Dawei Zhu, et al.2023 · 108 citations
  36. 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
  37. Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionZhanming Jie, Jierui Li, Wei Lu2022 · 102 citations
  38. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
  39. On Learning to Summarize with Large Language Models as ReferencesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yixin Liu, Kejian Shi, Katherine He, et al.2024 · 94 citations
  40. Universal Self-Consistency for Large Language Model GenerationarXiv:2311.17311Xinyun Chen, Renat Aksitov, Uri Alon, et al.2023 · 92 citations
  41. Large Language Models are Inconsistent and Biased EvaluatorsarXiv:2405.01724Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara2024 · 91 citations
  42. Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Andrea Sottana, Bin Liang, Kai Zou, et al.2023 · 89 citations
  43. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM AssessmentConference on Empirical Methods in Natural Language Processing (EMNLP)Vyas Raina, Adian Liusie, Mark Gales2024 · 86 citations
  44. Style Over Substance: Evaluation Biases for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Minghao Wu, Alham Fikri Aji2025 · 81 citations
  45. Humans or LLMs as the Judge? A Study on Judgement BiasesarXiv:2402.10669Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 78 citations
  46. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model EvaluatorsarXiv:2403.16950Yinhong Liu, Han Zhou, Zhijiang Guo, et al.2024 · 76 citations
  47. Wider and Deeper LLM Networks are Fairer LLM EvaluatorsarXiv:2308.01862Xinghua Zhang, Bowen Yu, Haiyang Yu, et al.2023 · 75 citations
  48. AlignBench: Benchmarking Chinese Alignment of Large Language ModelsarXiv:2311.18743Xiao Liu, Xuanyu Lei, Shengyuan Wang, et al.2023 · 74 citations
  49. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeInternational Joint Conference on Natural Language Processing (IJCNLP)Lin Shi, Chiyu Ma, Wenhua Liang, et al.2025 · 71 citations
  50. Calibrating LLM-Based EvaluatorLanguage Resources and Evaluation Conference (LREC)Yuxuan Liu, Tianchi Yang, Shaohan Huang, et al.2024 · 71 citations
  51. Lion: Adversarial Distillation of Proprietary Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxin Jiang, Chunkit Chan, Mingyang Chen, et al.2023 · 70 citations
  52. Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?arXiv:2309.07462Rishav Hada, Varun Gumma, Adrian de Wynter, et al.2023 · 69 citations
  53. OffsetBias: Leveraging Debiased Data for Tuning EvaluatorsFindings of the Association for Computational LinguisticsJunsoo Park, Seungyeon Jwa, Ren Meiying, et al.2024 · 67 citations
  54. On Context Utilization in Summarization with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mathieu Ravaut, Aixin Sun, Nancy Chen, et al.2024 · 67 citations
  55. Leveraging Large Language Models for NLG Evaluation: Advances and ChallengesConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Li, Xiaohan Xu, Tao Shen, et al.2024 · 63 citations
  56. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788Dongping Chen, Ruoxi Chen, Shilin Zhang, et al.2024 · 60 citations
  57. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
  58. Shepherd: A Critic for Language Model GenerationarXiv:2308.04592Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, et al.2023 · 60 citations
  59. The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitay Calderon, Roi Reichart, Rotem Dror2025 · 52 citations
  60. Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?Language Resources and Evaluation Conference (LREC)Wangyue Li, Liangzhi Li, Tong Xiang, et al.2024 · 47 citations
  61. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  62. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
  63. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language ModelsarXiv:2309.06085Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto, et al.2023 · 33 citations
  64. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, et al.2024 · 28 citations
  65. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningarXiv:2310.02954Jing Xiong, Zixuan Li, Chuanyang Zheng, et al.2023 · 27 citations
  66. LLMs May Perform MCQA by Selecting the Least Incorrect OptionInternational Conference on Computational Linguistics (COLING)Haochun Wang, Sendong Zhao, Zewen Qiang, et al.2025 · 24 citations
  67. Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Jundong Xu, Hao Fei, Meng Luo, et al.2025 · 16 citations
  68. Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference LabelsConference on Neural Information Processing Systems (NeurIPS)Jan-Philipp Franken, Eric Zelikman, Rafael Rafailov, et al.2024 · 16 citations
  69. CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-JudgesAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Qingyao Ai, et al.2025 · 15 citations
  70. JuStRank: Benchmarking LLM Judges for System RankingAnnual Meeting of the Association for Computational Linguistics (ACL)Ariel Gera, Odellia Boni, Yotam Perlitz, et al.2025 · 15 citations
  71. MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nandan Thakur, Suleman Kazi, Ge Luo, et al.2025 · 15 citations
  72. EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error CorrectionProceedings of the AAAI Conference on Artificial IntelligenceJingheng Ye, Shang Qin, Yinghui Li, et al.2024 · 15 citations
  73. Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction TaskarXiv:2307.03972Fanyi Qu, Chenming Tang, Yunfang Wu2023 · 15 citations
  74. Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Srijan Bansal, Yifei Ming, et al.2025 · 14 citations
  75. IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Xinghua Zhang, Haiyang Yu, Cheng Fu, et al.2025 · 14 citations
  76. 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
  77. POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yifei Wang, Feng Xiong, Yong Wang, et al.2025 · 13 citations
  78. 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
  79. Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to ArtifactsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongyu Chen, Seraphina Goldfarb-Tarrant2025 · 13 citations
  80. From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning TasksarXiv:2409.04168Andreas Stephan, Dawei Zhu, Matthias Aßenmacher, et al.2024 · 13 citations
  81. Dolomites: Domain-Specific Long-Form Methodical TasksTransactions of the Association for Computational Linguistics (TACL)Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, et al.2025 · 12 citations
  82. LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaodong Wu, Minhao Wang, Yichen Liu, et al.2025 · 11 citations
  83. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific DiscoveryarXiv:2603.08127Yougang Lyu, Xi Zhang, Xinhao Yi, et al.2026 · 10 citations
  84. Beyond the Surface: Measuring Self-Preference in LLM JudgmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, et al.2025 · 10 citations
  85. RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sunzhu Li, Jiale Zhao, Huimin Ren, et al.2026 · 9 citations
  86. Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical StudyInternational Conference on Computational Linguistics (COLING)Mingyang Song, Mao Zheng, Xuan Luo2025 · 9 citations
  87. NorEval: A Norwegian Language Understanding and Generation Evaluation BenchmarkFindings of the Association for Computational LinguisticsVladislav Mikhailov, Tita Enstad, David Samuel, et al.2025 · 7 citations
  88. Demystifying Multi-Agent Debate: The Role of Confidence and DiversityFindings of the Association for Computational LinguisticsXiaochen Zhu, Caiqi Zhang, Yizhou Chi, et al.2026 · 6 citations
  89. Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias ResultsAnnual Meeting of the Association for Computational Linguistics (ACL)Andrea Santilli, Adam Golinski, Michael Kirchhof, et al.2025 · 6 citations
  90. Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhi Tian, Cunxiang Wang, Zeming Liu, et al.2026 · 5 citations
  91. Learning to Judge: LLMs Designing and Applying Evaluation RubricsFindings of the Association for Computational LinguisticsClemencia Siro, Pourya Aliannejadi, Mohammad Aliannejadi2026 · 5 citations
  92. Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy ParadigmConference on Empirical Methods in Natural Language Processing (EMNLP)Zhuo Li, Yuhao Du, Xiaoqi Jiao, et al.2025 · 5 citations
  93. EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Zou, Xinghua Zhang, Haiyang Yu, et al.2025 · 5 citations
  94. Multi-Session Client-Centered Treatment Outcome Evaluation in PsychotherapyLanguage Resources and Evaluation Conference (LREC)Hongbin Na, Tao Shen, Shumao Yu, et al.2026 · 4 citations
  95. How Long Reasoning Chains Influence LLMs' Judgment of Answer FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Minzhu Tu, Shiyu Ni, Keping Bi2026 · 3 citations
  96. J4R: Learning to Judge with Equivalent Initial State Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.2026 · 3 citations
  97. ClozEx: A Task toward Generation of English Cloze ExplanationFindings of the Association for Computational LinguisticsZizheng Zhang, Masato Mita, Mamoru Komachi2023 · 3 citations
  98. 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
  99. CICL26 at SemEval-2026 Task 4: Narrative Story Similarity and Narrative Representation LearningInternational Workshop on Semantic Evaluation (SemEval)Wanzhao Zhang, Yue Yu2026 · 1 citation
  100. CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Tian, Yuhao Zhou, Man Lan2026 · 1 citation

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