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# Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 7

2025 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/)

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1. [Semantically-Informed Regressive Encoder Score](https://aclanthology.org/2023.wmt-1.69/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
2. [Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue Evaluation](https://arxiv.org/abs/2308.16797) *— 2023 · arXiv:2308.16797*
3. [SoTaNa: The Open-Source Software Development Assistant](https://arxiv.org/abs/2308.13416) *— 2023 · arXiv:2308.13416*
4. [Socratic Question Generation: A Novel Dataset, Models, and Evaluation](https://aclanthology.org/2023.eacl-main.12/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
5. [Structure-aware Knowledge Graph-to-text Generation with Planning Selection and Similarity Distinction](https://aclanthology.org/2023.emnlp-main.537/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
6. [Style-Aware Contrastive Learning for Multi-Style Image Captioning](https://aclanthology.org/2023.findings-eacl.169/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
7. [Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity](https://arxiv.org/abs/2310.07521) *— 2023 · arXiv:2310.07521*
8. [System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator](https://aclanthology.org/2023.inlg-main.20/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
9. [TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering](https://arxiv.org/abs/2303.11897) *— 2023 · arXiv:2303.11897*
10. [The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents](https://aclanthology.org/2023.eacl-main.206/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
11. [Three Ways of Using Large Language Models to Evaluate Chat](https://aclanthology.org/2023.dstc-1.14/) *— 2023 · Proceedings of the Eleventh Dialog System Technology Challenge*
12. [Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative](https://aclanthology.org/2023.wmt-1.59/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
13. [Towards Explainable Evaluation Metrics for Machine Translation](https://arxiv.org/abs/2306.13041) *— 2023 · arXiv:2306.13041 · Journal of Machine Learning Research (JMLR), 2024, vol. 25, no. 75, p. 1-49*
14. [Towards Multilingual Automatic Open-Domain Dialogue Evaluation](https://aclanthology.org/2023.sigdial-1.11/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
15. [Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level](https://aclanthology.org/2023.wmt-1.96/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
16. [Tree-Based Representation and Generation of Natural and Mathematical Language](https://aclanthology.org/2023.acl-long.205/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [Uniform Complexity for Text Generation](https://aclanthology.org/2023.findings-emnlp.805/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
18. [Unleashing the potential of prompt engineering for large language models](https://arxiv.org/abs/2310.14735) *— 2023 · arXiv:2310.14735 · Patterns 6(6) 101260 (2025)*
19. [Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering](https://arxiv.org/abs/2304.12102) *— 2023 · arXiv:2304.12102*
20. [Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model](https://aclanthology.org/2023.acl-long.281/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [Using In-Context Learning to Improve Dialogue Safety](https://aclanthology.org/2023.findings-emnlp.796/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
22. [Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs](https://aclanthology.org/2023.mmnlg-1.5/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
23. [VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing](https://aclanthology.org/2023.findings-emnlp.690/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
24. [Visual Coherence Loss for Coherent and Visually Grounded Story Generation](https://aclanthology.org/2023.findings-acl.603/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
25. [Visualize Before You Write: Imagination-Guided Open-Ended Text Generation](https://aclanthology.org/2023.findings-eacl.5/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
26. [WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences](https://arxiv.org/abs/2306.07906) *— 2023 · arXiv:2306.07906*
27. [White-Box Multi-Objective Adversarial Attack on Dialogue Generation](https://aclanthology.org/2023.acl-long.100/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model](https://aclanthology.org/2023.emnlp-main.679/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
29. [``What do others think?'''': Task-Oriented Conversational Modeling with Subjective Knowledge](https://aclanthology.org/2023.sigdial-1.28/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
30. [eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings](https://aclanthology.org/2023.wmt-1.61/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
31. [f-Divergence Minimization for Sequence-Level Knowledge Distillation](https://aclanthology.org/2023.acl-long.605/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [$\infty$-former: Infinite Memory Transformer](https://aclanthology.org/2022.acl-long.375/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
33. [A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation](https://aclanthology.org/2022.findings-naacl.172/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
34. [A Feasibility Study of Answer-Agnostic Question Generation for Education](https://aclanthology.org/2022.findings-acl.151/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
35. [A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German–English Machine Translation Output](https://aclanthology.org/2022.lrec-1.99/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
36. [A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques](https://aclanthology.org/2022.emnlp-main.153/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
37. [A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations](https://aclanthology.org/2022.findings-naacl.37/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
38. [A large-scale computational study of content preservation measures for text style transfer and paraphrase generation](https://aclanthology.org/2022.acl-srw.23/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
39. [A new approach to calculating BERTScore for automatic assessment of translation quality](https://arxiv.org/abs/2203.05598) *— 2022 · arXiv:2203.05598*
40. [A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge](https://arxiv.org/abs/2206.01718) *— 2022 · arXiv:2206.01718*
41. [ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models](https://aclanthology.org/2022.findings-emnlp.136/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
42. [Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation](https://aclanthology.org/2022.emnlp-main.664/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
43. [Adversarial Authorship Attribution for Deobfuscation](https://aclanthology.org/2022.acl-long.509/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [An Evaluation Framework for Legal Document Summarization](https://aclanthology.org/2022.lrec-1.508/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
45. [An Overview on Machine Translation Evaluation](https://arxiv.org/abs/2202.11027) *— 2022 · arXiv:2202.11027*
46. [Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods](https://arxiv.org/abs/2209.11016) *— 2022 · arXiv:2209.11016 · Proceedings of the PolEval 2021 Workshop, 2021, 73-78*
47. [Arabic Image Captioning using Pre-training of Deep Bidirectional Transformers](https://aclanthology.org/2022.inlg-main.4/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
48. [Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos](https://aclanthology.org/2022.emnlp-main.468/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
49. [Automating Human Evaluation of Dialogue Systems](https://aclanthology.org/2022.naacl-srw.29/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
50. [BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation](https://aclanthology.org/2022.emnlp-main.245/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
51. [BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning](https://aclanthology.org/2022.coling-1.485/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
52. [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://aclanthology.org/2022.naacl-main.259/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
53. [BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://aclanthology.org/2022.naacl-main.111/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
54. [CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues](https://aclanthology.org/2022.acl-long.344/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [CLIP4IDC: CLIP for Image Difference Captioning](https://aclanthology.org/2022.aacl-short.5/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
56. [CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation](https://aclanthology.org/2022.acl-long.164/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions?](https://aclanthology.org/2022.ecnlp-1.27/) *— 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)*
58. [ChatMatch: Evaluating Chatbots by Autonomous Chat Tournaments](https://aclanthology.org/2022.acl-long.522/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
59. [Clickbait Spoiling via Question Answering and Passage Retrieval](https://aclanthology.org/2022.acl-long.484/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [CoHS-CQG: Context and History Selection for Conversational Question Generation](https://aclanthology.org/2022.coling-1.48/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
61. [CoSe-Co: Text Conditioned Generative CommonSense Contextualizer](https://aclanthology.org/2022.naacl-main.83/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
62. [CodeExp: Explanatory Code Document Generation](https://aclanthology.org/2022.findings-emnlp.174/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
63. [CoditT5: Pretraining for Source Code and Natural Language Editing](https://arxiv.org/abs/2208.05446) *— 2022 · arXiv:2208.05446*
64. [ComFact: A Benchmark for Linking Contextual Commonsense Knowledge](https://aclanthology.org/2022.findings-emnlp.120/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
65. [Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model](https://aclanthology.org/2022.findings-emnlp.98/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
66. [Cross-modal Contrastive Attention Model for Medical Report Generation](https://aclanthology.org/2022.coling-1.210/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
67. [D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat](https://aclanthology.org/2022.emnlp-main.156/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
68. [DEER: Descriptive Knowledge Graph for Explaining Entity Relationships](https://aclanthology.org/2022.emnlp-main.448/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
69. [DEMETR: Diagnosing Evaluation Metrics for Translation](https://aclanthology.org/2022.emnlp-main.649/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
70. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
71. [DialSummEval: Revisiting Summarization Evaluation for Dialogues](https://aclanthology.org/2022.naacl-main.418/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
72. [Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space](https://aclanthology.org/2022.emnlp-main.827/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
73. [Discourse Cohesion Evaluation for Document-Level Neural Machine Translation](https://arxiv.org/abs/2208.09118) *— 2022 · arXiv:2208.09118*
74. [ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls](https://aclanthology.org/2022.lrec-1.378/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
75. [ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation](https://aclanthology.org/2022.emnlp-main.68/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
76. [Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems](https://aclanthology.org/2022.findings-naacl.63/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
77. [End-to-end Dense Video Captioning as Sequence Generation](https://aclanthology.org/2022.coling-1.498/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
78. [Evaluating Agent Interactions Through Episodic Knowledge Graphs](https://aclanthology.org/2022.ccgpk-1.3/) *— 2022 · Proceedings of the 1st Workshop on Customized Chat Grounding Persona and Knowledge*
79. [Evaluating Legal Accuracy of Neural Generators on the Generation of Criminal Court Dockets Description](https://aclanthology.org/2022.inlg-main.7/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
80. [Evaluating MT Systems: A Theoretical Framework](https://arxiv.org/abs/2202.05806) *— 2022 · arXiv:2202.05806*
81. [Evaluating Machine Translation in Cross-lingual E-Commerce Search](https://aclanthology.org/2022.amta-research.25/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
82. [Evaluating the Knowledge Dependency of Questions](https://aclanthology.org/2022.emnlp-main.718/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
83. [Evaluation of Response Generation Models: Shouldn''t It Be Shareable and Replicable?](https://aclanthology.org/2022.gem-1.12/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
84. [ExPUNations: Augmenting Puns with Keywords and Explanations](https://aclanthology.org/2022.emnlp-main.304/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
85. [Examining Large Pre-Trained Language Models for Machine Translation: What You Don''t Know about It](https://aclanthology.org/2022.wmt-1.84/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
86. [Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis](https://aclanthology.org/2022.naacl-main.430/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
87. [Exploring Robustness of Machine Translation Metrics: A Study of Twenty-Two Automatic Metrics in the WMT22 Metric Task](https://aclanthology.org/2022.wmt-1.46/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
88. [FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation](https://aclanthology.org/2022.emnlp-demos.35/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
89. [Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup](https://aclanthology.org/2022.findings-emnlp.255/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
90. [Findings of the WMT 2022 Biomedical Translation Shared Task: Monolingual Clinical Case Reports](https://aclanthology.org/2022.wmt-1.69/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
91. [Fine-Grained Controllable Text Generation Using Non-Residual Prompting](https://aclanthology.org/2022.acl-long.471/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
92. [Fine-grained Image Captioning with CLIP Reward](https://aclanthology.org/2022.findings-naacl.39/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
93. [FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows](https://aclanthology.org/2022.emnlp-main.715/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
94. [FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation](https://aclanthology.org/2022.acl-long.93/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation](https://aclanthology.org/2022.acl-long.121/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation](https://aclanthology.org/2022.coling-1.506/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
97. [GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation](https://aclanthology.org/2022.emnlp-main.787/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
98. [Generative Pretraining for Paraphrase Evaluation](https://aclanthology.org/2022.acl-long.280/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
99. [Grafting Pre-trained Models for Multimodal Headline Generation](https://aclanthology.org/2022.emnlp-industry.25/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track*
100. [Graph Pre-training for AMR Parsing and Generation](https://aclanthology.org/2022.acl-long.415/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

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