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Who cites «G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment»

1,096 papers of our library cite it (of the 149,439 whose bibliographies we read) · 243 with a page here, the most cited first · page 1 of 3 · 1–100 · ← back to «G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment»

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  1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
  2. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  3. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 987 citations
  4. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondACM Transactions on Knowledge Discovery from DataJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 814 citations
  5. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionarXiv:2310.11511Akari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 677 citations
  6. Instruction-Following Evaluation for Large Language ModelsarXiv:2311.07911Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.2023 · 615 citations
  7. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackConference on Neural Information Processing Systems (NeurIPS)Yann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 456 citations
  8. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebatearXiv:2308.07201Chi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 359 citations
  9. MM-Vet: Evaluating Large Multimodal Models for Integrated CapabilitiesarXiv:2308.02490Weihao Yu, Zhengyuan Yang, Linjie Li, et al.2023 · 344 citations
  10. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
  11. AlignScore: Evaluating Factual Consistency with A Unified Alignment FunctionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Zha, Yichi Yang, Ruichen Li, et al.2023 · 284 citations
  12. Prometheus: Inducing Fine-grained Evaluation Capability in Language ModelsarXiv:2310.08491Seungone Kim, Jamin Shin, Yejin Cho, et al.2023 · 281 citations
  13. DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language ModelsarXiv:2309.03883Yung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.2023 · 269 citations
  14. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsarXiv:2405.01535Seungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 234 citations
  15. ChemCrow: Augmenting large-language models with chemistry toolsarXiv:2304.05376Andres M Bran, Sam Cox, Oliver Schilter, et al.2023 · 211 citations
  16. PersonaLLM: Investigating the Ability of Large Language Models to Express Personality TraitsFindings of the Association for Computational LinguisticsHang Jiang, Xiajie Zhang, Xubo Cao, et al.2023 · 211 citations
  17. LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language ModelsarXiv:2305.13711Yen-Ting Lin, Yun-Nung Chen2023 · 207 citations
  18. Aligning Large Language Models with Human: A SurveyarXiv:2307.12966Yufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 202 citations
  19. SODA: Million-scale Dialogue Distillation with Social Commonsense ContextualizationConference on Empirical Methods in Natural Language Processing (EMNLP)Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.2023 · 202 citations
  20. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
  21. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
  22. Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction TuningarXiv:2306.14565Fuxiao Liu, Kevin Lin, Linjie Li, et al.2023 · 189 citations
  23. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
  24. GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsarXiv:2309.10253Jiahao Yu, Xingwei Lin, Zheng Yu, et al.2023 · 169 citations
  25. Orca 2: Teaching Small Language Models How to ReasonarXiv:2311.11045Arindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 162 citations
  26. 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
  27. The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation EvaluationConference on Machine Translation (WMT)Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.2023 · 158 citations
  28. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningarXiv:2312.01552Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 150 citations
  29. 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
  30. Understanding the Effects of RLHF on LLM Generalisation and DiversityarXiv:2310.06452Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 143 citations
  31. 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
  32. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsFindings of the Association for Computational LinguisticsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 136 citations
  33. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsFindings of the Association for Computational LinguisticsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 136 citations
  34. Human-like Summarization Evaluation with ChatGPTarXiv:2304.02554Mingqi Gao, Jie Ruan, Renliang Sun, et al.2023 · 128 citations
  35. Generative Judge for Evaluating AlignmentarXiv:2310.05470Junlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 125 citations
  36. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
  37. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic FeedbackConference on Empirical Methods in Natural Language Processing (EMNLP)Wenda Xu, Danqing Wang, Liangming Pan, et al.2023 · 123 citations
  38. UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, et al.2023 · 121 citations
  39. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationFindings of the Association for Computational LinguisticsChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.2023 · 119 citations
  40. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationarXiv:2212.07981Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 117 citations
  41. AIR-Bench: Benchmarking Large Audio-Language Models via Generative ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Yang, Jin Xu, Wenrui Liu, et al.2024 · 112 citations
  42. ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsarXiv:2404.07738Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 111 citations
  43. BooookScore: A systematic exploration of book-length summarization in the era of LLMsarXiv:2310.00785Yapei Chang, Kyle Lo, Tanya Goyal, et al.2023 · 108 citations
  44. Benchmarking Foundation Models with Language-Model-as-an-ExaminerConference on Neural Information Processing Systems (NeurIPS)Yushi Bai, Jiahao Ying, Yixin Cao, et al.2023 · 106 citations
  45. 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
  46. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
  47. Hybrid LLM: Cost-Efficient and Quality-Aware Query RoutingarXiv:2404.14618Dujian Ding, Ankur Mallick, Chi Wang, et al.2024 · 98 citations
  48. LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image UnderstandingarXiv:2306.17107Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, et al.2023 · 98 citations
  49. LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive MemoryarXiv:2410.10813Di Wu, Hongwei Wang, Wenhao Yu, et al.2024 · 95 citations
  50. 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
  51. FineSurE: Fine-grained Summarization Evaluation using LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hwanjun Song, Hang Su, Igor Shalyminov, et al.2024 · 92 citations
  52. Universal Self-Consistency for Large Language Model GenerationarXiv:2311.17311Xinyun Chen, Renat Aksitov, Uri Alon, et al.2023 · 92 citations
  53. Large Language Models are Inconsistent and Biased EvaluatorsarXiv:2405.01724Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara2024 · 91 citations
  54. 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
  55. Safety Assessment of Chinese Large Language ModelsarXiv:2304.10436Hao Sun, Zhexin Zhang, Jiawen Deng, et al.2023 · 89 citations
  56. LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Helia Hashemi, Jason Eisner, Corby Rosset, et al.2024 · 88 citations
  57. Pride and Prejudice: LLM Amplifies Self-Bias in Self-RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Wenda Xu, Guanglei Zhu, Xuandong Zhao, et al.2024 · 88 citations
  58. LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Adian Liusie, Potsawee Manakul, Mark Gales2024 · 87 citations
  59. 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
  60. Retrieval-Augmented Generation for Natural Language Processing: A SurveyArtificial Intelligence ReviewShangyu Wu, Ying Xiong, Yufei Cui, et al.2024 · 86 citations
  61. BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language ModelsarXiv:2306.10968Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, et al.2023 · 85 citations
  62. PRD: Peer Rank and Discussion Improve Large Language Model based EvaluationsarXiv:2307.02762Ruosen Li, Teerth Patel, Xinya Du2023 · 83 citations
  63. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
  64. AndroidWorld: A Dynamic Benchmarking Environment for Autonomous AgentsarXiv:2405.14573Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, et al.2024 · 82 citations
  65. 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
  66. Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention MapsConference on Empirical Methods in Natural Language Processing (EMNLP)Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.2024 · 78 citations
  67. 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
  68. Benchmarking Large Language Models on Answering and Explaining Challenging Medical QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanjie Chen, Zhouxiang Fang, Yash Singla, et al.2025 · 75 citations
  69. GPTEval: A Survey on Assessments of ChatGPT and GPT-4Language Resources and Evaluation Conference (LREC)Rui Mao, Guanyi Chen, Xulang Zhang, et al.2024 · 75 citations
  70. Wider and Deeper LLM Networks are Fairer LLM EvaluatorsarXiv:2308.01862Xinghua Zhang, Bowen Yu, Haiyang Yu, et al.2023 · 75 citations
  71. AlignBench: Benchmarking Chinese Alignment of Large Language ModelsarXiv:2311.18743Xiao Liu, Xuanyu Lei, Shengyuan Wang, et al.2023 · 74 citations
  72. ReCEval: Evaluating Reasoning Chains via Correctness and InformativenessConference on Empirical Methods in Natural Language Processing (EMNLP)Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.2023 · 73 citations
  73. Unveiling the Implicit Toxicity in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Wen, Pei Ke, Hao Sun, et al.2023 · 72 citations
  74. Calibrating LLM-Based EvaluatorLanguage Resources and Evaluation Conference (LREC)Yuxuan Liu, Tianchi Yang, Shaohan Huang, et al.2024 · 71 citations
  75. Extrapolating Large Language Models to Non-English by Aligning LanguagesarXiv:2308.04948Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, et al.2023 · 71 citations
  76. 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
  77. CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model GenerationarXiv:2311.18702Pei Ke, Bosi Wen, Zhuoer Feng, et al.2023 · 69 citations
  78. Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationarXiv:2310.15123Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al.2023 · 68 citations
  79. MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.2024 · 67 citations
  80. OffsetBias: Leveraging Debiased Data for Tuning EvaluatorsFindings of the Association for Computational LinguisticsJunsoo Park, Seungyeon Jwa, Ren Meiying, et al.2024 · 67 citations
  81. ARB: Advanced Reasoning Benchmark for Large Language ModelsarXiv:2307.13692Tomohiro Sawada, Daniel Paleka, Alexander Havrilla, et al.2023 · 66 citations
  82. 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
  83. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
  84. Shepherd: A Critic for Language Model GenerationarXiv:2308.04592Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, et al.2023 · 60 citations
  85. Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse PromptsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, et al.2024 · 55 citations
  86. Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI TutorsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova, et al.2025 · 53 citations
  87. Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired SketchingConference on Empirical Methods in Natural Language Processing (EMNLP)Simon A. Aytes, Jinheon Baek, Sung Ju Hwang2025 · 51 citations
  88. CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklistsConference on Empirical Methods in Natural Language Processing (EMNLP)Yukyung Lee, JoongHoon Kim, Jaehee Kim, et al.2025 · 37 citations
  89. DeAL: Decoding-time Alignment for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)James Y. Huang, Sailik Sengupta, Daniele Bonadiman, et al.2025 · 36 citations
  90. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
  91. 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
  92. Benchmarking Linguistic Diversity of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yanzhu Guo, Guokan Shang, Chloé Clavel2025 · 32 citations
  93. Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM EvaluationInternational Conference on Computational Linguistics (COLING)Siyuan Wang, Zhuohan Long, Zhihao Fan, et al.2025 · 30 citations
  94. PPTAgent: Generating and Evaluating Presentations Beyond Text-to-SlidesConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Zheng, Xinyan Guan, Hao Kong, et al.2025 · 30 citations
  95. DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep ResearcharXiv:2511.19399Rulin Shao, Akari Asai, Shannon Zejiang Shen, et al.2025 · 28 citations
  96. LLM-as-a-Judge & Reward Model: What They Can and Cannot DoarXiv:2409.11239Guijin Son, Hyunwoo Ko, Hoyoung Lee, et al.2024 · 27 citations
  97. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
  98. Personalized Generation In Large Model Era: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.2025 · 24 citations
  99. PaniniQA: Enhancing Patient Education Through Interactive Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Pengshan Cai, Zonghai Yao, Fei Liu, et al.2023 · 24 citations
  100. MemInsight: Autonomous Memory Augmentation for LLM AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Rana Salama, Jason Cai, Michelle Yuan, et al.2025 · 22 citations

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