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# Who cites «Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics» · page 2

203 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/mathur-2020-tangled-up-bleu-reevaluating-evaluation/)

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1. [NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation](https://aclanthology.org/2022.coling-1.306/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
2. [Non-Autoregressive Machine Translation: It''s Not as Fast as it Seems](https://aclanthology.org/2022.naacl-main.129/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
3. [Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation](https://aclanthology.org/2022.coling-1.509/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
4. [Part Represents Whole: Improving the Evaluation of Machine Translation System Using Entropy Enhanced Metrics](https://aclanthology.org/2022.findings-aacl.28/) *— 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022*
5. [Quality-Aware Decoding for Neural Machine Translation](https://aclanthology.org/2022.naacl-main.100/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
6. [Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics](https://aclanthology.org/2022.naacl-main.442/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
7. [Reproducibility Issues for BERT-based Evaluation Metrics](https://aclanthology.org/2022.emnlp-main.192/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
8. [Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust](https://md.mova.elamur.ai/free/en/docs/papers/freitag-2022-results-wmt22-metrics-shared-task/) *— our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
9. [Searching for COMETINHO: The Little Metric That Could](https://aclanthology.org/2022.eamt-1.9/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
10. [Searching for a Higher Power in the Human Evaluation of MT](https://aclanthology.org/2022.wmt-1.7/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
11. [Spurious Correlations in Reference-Free Evaluation of Text Generation](https://aclanthology.org/2022.acl-long.102/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation](https://aclanthology.org/2022.lrec-1.636/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
13. [UniTE: Unified Translation Evaluation](https://aclanthology.org/2022.acl-long.558/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Why is sentence similarity benchmark not predictive of application-oriented task performance?](https://aclanthology.org/2022.eval4nlp-1.8/) *— 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems*
15. [m$^4$ Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter](https://aclanthology.org/2022.findings-emnlp.315/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
16. [A Fine-Grained Analysis of BERTScore](https://aclanthology.org/2021.wmt-1.59/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
17. [Assessing Reference-Free Peer Evaluation for Machine Translation](https://aclanthology.org/2021.naacl-main.91/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
18. [Automatic Rephrasing of Transcripts-based Action Items](https://aclanthology.org/2021.findings-acl.253/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
19. [BARTScore: Evaluating Generated Text as Text Generation](https://arxiv.org/abs/2106.11520) *— 2021 · arXiv:2106.11520*
20. [Better than Average: Paired Evaluation of NLP systems](https://aclanthology.org/2021.acl-long.179/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
21. [Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation](https://aclanthology.org/2021.emnlp-main.599/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
22. [Difficulty-Aware Machine Translation Evaluation](https://aclanthology.org/2021.acl-short.5/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
23. [Evaluating the Efficacy of Summarization Evaluation across Languages](https://aclanthology.org/2021.findings-acl.71/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
24. [Evaluating the Morphosyntactic Well-formedness of Generated Texts](https://aclanthology.org/2021.emnlp-main.570/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
25. [Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT](https://aclanthology.org/2021.wmt-1.72/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
26. [Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors](https://aclanthology.org/2021.emnlp-main.701/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
27. [Grounding as a Collaborative Process](https://aclanthology.org/2021.eacl-main.41/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
28. [Learning Compact Metrics for MT](https://aclanthology.org/2021.emnlp-main.58/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
29. [Machine Translation into Low-resource Language Varieties](https://aclanthology.org/2021.acl-short.16/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
30. [Macro-Average: Rare Types Are Important Too](https://aclanthology.org/2021.naacl-main.90/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
31. [NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task](https://aclanthology.org/2021.americasnlp-1.25/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
32. [On the Stability of System Rankings at WMT](https://aclanthology.org/2021.wmt-1.56/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
33. [Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort](https://aclanthology.org/2021.acl-long.242/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
34. [OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics](https://aclanthology.org/2021.acl-long.500/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
35. [Perturbation CheckLists for Evaluating NLG Evaluation Metrics](https://aclanthology.org/2021.emnlp-main.575/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
36. [Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain](https://aclanthology.org/2021.wmt-1.73/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
37. [Reward Optimization for Neural Machine Translation with Learned Metrics](https://arxiv.org/abs/2104.07541) *— 2021 · arXiv:2104.07541*
38. [RoBLEURT Submission for WMT2021 Metrics Task](https://aclanthology.org/2021.wmt-1.114/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
39. [Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers](https://aclanthology.org/2021.acl-long.566/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
40. [Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems](https://aclanthology.org/2021.ranlp-1.137/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
41. [Shades of BLEU, Flavours of Success: The Case of MultiWOZ](https://aclanthology.org/2021.gem-1.4/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
42. [The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification](https://aclanthology.org/2021.cl-4.28/) *— 2021 · Computational Linguistics*
43. [The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics](https://aclanthology.org/2021.gem-1.10/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
44. [The LMU Munich System for the WMT 2021 Large-Scale Multilingual Machine Translation Shared Task](https://aclanthology.org/2021.wmt-1.49/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
45. [The statistical advantage of automatic NLG metrics at the system level](https://aclanthology.org/2021.acl-long.533/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
46. [To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation](https://aclanthology.org/2021.wmt-1.57/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
47. [Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR](https://md.mova.elamur.ai/free/en/docs/papers/opitz-2021-decomposable-metric-explainable-evaluation-text/) *— our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
48. [What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers](https://aclanthology.org/2021.emnlp-main.274/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
49. [A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems](https://aclanthology.org/2020.inlg-1.22/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
50. [Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing](https://aclanthology.org/2020.emnlp-main.8/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
51. [Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale](https://aclanthology.org/2020.coling-main.210/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
52. [Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing](https://aclanthology.org/2020.inlg-1.24/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
53. [Evaluation of Text Generation: A Survey](https://arxiv.org/abs/2006.14799) *— 2020 · arXiv:2006.14799*
54. [Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages](https://aclanthology.org/2020.wmt-1.76/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
55. [Gradations of Error Severity in Automatic Image Descriptions](https://aclanthology.org/2020.inlg-1.45/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
56. [KoBE: Knowledge-Based Machine Translation Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/gekhman-2020-kobe-knowledge-based-machine-translation/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
57. [Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task](https://aclanthology.org/2020.wmt-1.102/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
58. [Neural Machine Translation for translating into Croatian and Serbian](https://aclanthology.org/2020.vardial-1.10/) *— 2020 · Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects*
59. [ParBLEU: Augmenting Metrics with Automatic Paraphrases for the WMT''20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.98/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
60. [Results of the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.77/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
61. [Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text](https://aclanthology.org/2020.inlg-1.6/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
62. [Unbabel's Participation in the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.101/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
63. anilkumar-2026-limp-linguistically-informed-multi-strategy
64. arous-2026-reprohum-0033-05-human-evaluation
65. arunkumar-2023-real-time-visual-feedback-guide
66. aufrant-2022-is-nlp-ready-standardization
67. bharati-2026-american-palimpsest-quantifying-south-asian
68. bhavya-2024-long-form-analogy-evaluation-challenge
69. buschbeck-2022-hi-how-can-i-help
70. czehmann-2026-sacred-bird-called-phoenix-auditing
71. deriu-2023-correction-errors-preference-ratings-automated
72. diianni-2025-don-t-sweat-small-stuff
73. donati-2025-do-large-language-models-understand
74. edwards-2026-report-based-recommendations-policy-making
75. harrasse-2026-debate-deliberate-decide-d3-cost
76. huang-2024-self-evaluation-large-language-model
77. kasai-2024-call-clarity-beam-search-how
78. kim-2022-vacillating-human-correlation-sacrebleu-unprotected
79. knowles-2022-test-set-sampling-affects-system
80. knowles-2024-some-tradeoffs-continual-learning-parliamentary
81. koch-2022-pre-trained-language-models-evaluating
82. kumar-2026-pressure-testing-deception-probes-llms
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84. larionov-2023-team-nllg-submission-eval4nlp-2023
85. larkin-2021-like-chalk-cheese-effects-translationese
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