🔗 Who cites «Evaluation of Text Generation: A Survey»

200 papers of our library cite it (of the 149,439 whose bibliographies we read) · 40 with a page here, the most cited first · ← back to «Evaluation of Text Generation: A Survey»

1. CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model CapabilitiesCHI Conference on Human Factors in Computing SystemsMina Lee, Percy Liang, Qian Yang2022 · 423 citations
2. The GEM Benchmark: Natural Language Generation, its Evaluation and MetricsWorkshop on Generation, Evaluation and Metrics (GEM)Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, et al.2021 · 369 citations
3. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebatearXiv:2308.07201Chi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 359 citations
4. MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersarXiv:2102.01454Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.2021 · 251 citations
5. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
6. Hurdles to Progress in Long-form Question AnsweringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kalpesh Krishna, Aurko Roy, Mohit Iyyer2021 · 233 citations
7. Q²: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Or Honovich, Leshem Choshen, Roee Aharoni, et al.2021 · 196 citations
8. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
9. “I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al.2022 · 167 citations
10. ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningarXiv:2212.07919Olga Golovneva, Moya Chen, Spencer Poff, et al.2022 · 155 citations
11. LLM-based NLG Evaluation: Current Status and ChallengesComputational LinguisticsMingqi Gao, Xinyu Hu, Xunjian Yin, et al.2025 · 153 citations
12. Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine TextAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, et al.2022 · 152 citations
13. GO FIGURE: A Meta Evaluation of Factuality in SummarizationFindings of the Association for Computational LinguisticsSaadia Gabriel, Asli Celikyilmaz, Rahul Jha, et al.2021 · 130 citations
14. Learning Compact Metrics for MTConference on Empirical Methods in Natural Language Processing (EMNLP)Amy Pu, Hyung Won Chung, Ankur Parikh, et al.2021 · 130 citations
15. A Critical Evaluation of Evaluations for Long-form Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Fangyuan Xu, Yixiao Song, Mohit Iyyer, et al.2023 · 117 citations
16. How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVENTransactions of the Association for Computational Linguistics (TACL)R. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.2023 · 117 citations
17. LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.2023 · 114 citations
18. WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human PreferencesACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Xiao Liu, Hanyu Lai, Hao Yu, et al.2023 · 95 citations
19. 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
20. 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
21. CREPE: Open-Domain Question Answering with False PresuppositionsXinyan Yu, Sewon Min, Luke Zettlemoyer, et al.2023 · 66 citations
22. 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
23. Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared TaskConference on Machine Translation (WMT)Thibault Sellam, Amy Pu, Hyung Won Chung, et al.2020 · 55 citations
24. TellMeWhy: A Dataset for Answering Why-Questions in NarrativesYash Kumar Lal, Nathanael Chambers, Raymond Mooney, et al.2021 · 53 citations
25. Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story EvaluationTransactions of the Association for Computational Linguistics (TACL)Cyril Chhun, Fabian M. Suchanek, Chloé Clavel2024 · 41 citations
26. Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text ClassificationIEEE AccessDania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman2022 · 35 citations
27. ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Tan, Zhijiang Guo, Zhan Shi, et al.2024 · 30 citations
28. AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Charles Nimo, Tobi Olatunji, Abraham Toluwase Owodunni, et al.2025 · 22 citations
29. Language Model Self-improvement by Reinforcement Learning ContemplationarXiv:2305.14483Jing-Cheng Pang; Pengyuan Wang; Kaiyuan Li; Xiong-Hui Chen; Jiacheng Xu; Zongzhang Zhang;, Yang Yu2023 · 22 citations
30. QUDeval: The Evaluation of Questions Under Discussion Discourse ParsingYating Wu, Ritika Mangla, Greg Durrett, et al.2023 · 22 citations
31. Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under DiscussionWei-Jen Ko, Yating Wu, Cutter Dalton, et al.2023 · 21 citations
32. CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationTransactions of the Association for Computational Linguistics (TACL)Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.2025 · 20 citations
33. Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be BetterAnnual Meeting of the Association for Computational Linguistics (ACL)Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.2024 · 16 citations
34. Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument GenerationInternational Conference on Computational Linguistics (COLING)Zhe Hu, Hou Pong Chan, Jing Li, et al.2025 · 15 citations
35. BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical SciencearXiv:2407.00466Xinna Lin, Siqi Ma, Junjie Shan, et al.2024 · 12 citations
36. ELQA: A Corpus of Metalinguistic Questions and Answers about EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, et al.2023 · 12 citations
37. LEAF: Language Learners' English Essays and Feedback CorpusConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shabnam Behzad, Omid Kashefi, Swapna Somasundaran2024 · 5 citations
38. Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Shen, Ting Ying, Jiajie Lu, et al.2026 · 2 citations
39. AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content AnalysisFindings of the Association for Computational LinguisticsDong She, Xianrong Yao, Liqun Chen, et al.2026
40. Deep-Reporter: Deep Research for Grounded Multimodal Long-Form GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Fangda Ye, Kuicai Dong, Xie Zhifei, et al.2026

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