---
title: "Who cites Results of WMT22 Metrics Shared Task: Stop Using…"
description: "The papers of the Elamur Research library that cite «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust»…"
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---
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# Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust» · page 2

251 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/)

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1. [BiVert: Bidirectional Vocabulary Evaluation Using Relations for Machine Translation](https://aclanthology.org/2024.lrec-main.216/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
2. [COMET for Low-Resource Machine Translation Evaluation: A Case Study of English-Maltese and Spanish-Basque](https://aclanthology.org/2024.lrec-main.315/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
3. [Calibrating LLM-Based Evaluator](https://aclanthology.org/2024.lrec-main.237/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
4. [Can Automatic Metrics Assess High-Quality Translations?](https://aclanthology.org/2024.emnlp-main.802/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
5. [CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations](https://aclanthology.org/2024.amta-presentations.9/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations)*
6. [Context-Aware Machine Translation with Source Coreference Explanation](https://aclanthology.org/2024.tacl-1.48/) *— 2024*
7. [Cultural Adaptation of Recipes](https://aclanthology.org/2024.tacl-1.5/) *— 2024 · Transactions of the Association for Computational Linguistics*
8. [Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation](https://aclanthology.org/2024.acl-long.653/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [Efficient Benchmarking (of Language Models)](https://aclanthology.org/2024.naacl-long.139/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
10. [Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models](https://aclanthology.org/2024.findings-acl.520/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
11. [Evaluating Automatic Metrics with Incremental Machine Translation Systems](https://aclanthology.org/2024.findings-emnlp.169/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
12. [Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation](https://aclanthology.org/2024.lrec-main.575/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
13. [Exploring Human-Like Translation Strategy with Large Language Models](https://aclanthology.org/2024.tacl-1.13/) *— 2024 · Transactions of the Association for Computational Linguistics*
14. [Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation](https://aclanthology.org/2024.acl-long.243/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Finding Replicable Human Evaluations via Stable Ranking Probability](https://aclanthology.org/2024.naacl-long.275/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
16. [Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains](https://aclanthology.org/2024.acl-short.45/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
17. [Fixing Rogue Memorization in Many-to-One Multilingual Translators of Extremely-Low-Resource Languages by Rephrasing Training Samples](https://aclanthology.org/2024.naacl-long.253/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
18. [From General LLM to Translation: How We Dramatically Improve Translation Quality Using Human Evaluation Data for LLM Finetuning](https://aclanthology.org/2024.wmt-1.17/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
19. [GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels](https://arxiv.org/abs/2407.03658) *— 2024 · arXiv:2407.03658*
20. [Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!](https://aclanthology.org/2024.acl-long.856/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition](https://aclanthology.org/2024.acl-long.413/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [How Effective Are State Space Models for Machine Translation?](https://aclanthology.org/2024.wmt-1.111/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
23. [Human-Centered Design Recommendations for LLM-as-a-judge](https://aclanthology.org/2024.hucllm-1.2/) *— 2024 · Proceedings of the 1st Human-Centered Large Language Modeling Workshop*
24. [Impacts of Misspelled Queries on Translation and Product Search](https://aclanthology.org/2024.acl-long.750/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model](https://aclanthology.org/2024.naacl-long.451/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
26. [Improving Minimum Bayes Risk Decoding with Multi-Prompt](https://aclanthology.org/2024.emnlp-main.1255/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
27. [Improving NMT from a Low-Resource Source Language: A Use Case from Catalan to Chinese via Spanish](https://aclanthology.org/2024.eamt-1.20/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
28. [Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy](https://aclanthology.org/2024.wmt-1.118/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
29. [Is Context Helpful for Chat Translation Evaluation?](https://arxiv.org/abs/2403.08314) *— 2024 · arXiv:2403.08314*
30. [Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis](https://aclanthology.org/2024.wmt-1.127/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
31. [Iterative Translation Refinement with Large Language Models](https://aclanthology.org/2024.eamt-1.17/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
32. [LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback](https://aclanthology.org/2024.findings-naacl.92/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
33. [LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese](https://aclanthology.org/2024.propor-1.5/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1*
34. [Leveraging Large Language Models for NLG Evaluation: Advances and Challenges](https://aclanthology.org/2024.emnlp-main.896/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
35. [Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation](https://aclanthology.org/2024.findings-acl.211/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
36. [MT-Ranker: Reference-free machine translation evaluation by inter-system ranking](https://arxiv.org/abs/2401.17099) *— 2024 · arXiv:2401.17099*
37. [MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration](https://aclanthology.org/2024.wmt-1.32/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
38. [MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences](https://arxiv.org/abs/2410.02381) *— 2024 · arXiv:2410.02381*
39. [Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean](https://aclanthology.org/2024.lrec-main.1024/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
40. [NAIST-SIC-Aligned: An Aligned English-Japanese Simultaneous Interpretation Corpus](https://aclanthology.org/2024.lrec-main.1053/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
41. [Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies](https://aclanthology.org/2024.acl-long.110/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation](https://aclanthology.org/2024.emnlp-main.374/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
43. [Non-Autoregressive Machine Translation as Constrained HMM](https://aclanthology.org/2024.findings-acl.735/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
44. [Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References](https://aclanthology.org/2024.naacl-long.367/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
45. [POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation](https://aclanthology.org/2024.acl-long.537/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [Pitfalls and Outlooks in Using COMET](https://aclanthology.org/2024.wmt-1.121/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
47. [PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation](https://aclanthology.org/2024.emnlp-main.641/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
48. [Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement](https://aclanthology.org/2024.acl-long.826/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts](https://aclanthology.org/2024.eamt-1.27/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
50. [Quality Estimation with $k$-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation](https://aclanthology.org/2024.eamt-1.14/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
51. [Quality and Quantity of Machine Translation References for Automatic Metrics](https://aclanthology.org/2024.humeval-1.1/) *— 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024*
52. [Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model](https://aclanthology.org/2024.acl-long.836/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [Recent Highlights in Multilingual and Multimodal Speech Translation](https://aclanthology.org/2024.iwslt-1.29/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
54. [Revisiting Meta-evaluation for Grammatical Error Correction](https://aclanthology.org/2024.tacl-1.47/) *— 2024*
55. [Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue](https://aclanthology.org/2024.findings-emnlp.472/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
56. [SCALE: Synergized Collaboration of Asymmetric Language Translation Engines](https://aclanthology.org/2024.findings-acl.941/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
57. [SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window](https://aclanthology.org/2024.naacl-short.18/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
58. [Sign Language Translation with Sentence Embedding Supervision](https://aclanthology.org/2024.acl-short.40/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
59. [Sing it, Narrate it: Quality Musical Lyrics Translation](https://aclanthology.org/2024.findings-emnlp.315/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
60. [Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling](https://arxiv.org/abs/2410.11325) *— 2024 · arXiv:2410.11325*
61. [Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?](https://aclanthology.org/2024.acl-long.789/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation](https://aclanthology.org/2024.lrec-main.1350/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
63. [Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer](https://aclanthology.org/2024.findings-naacl.210/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
64. [The Effects of Pretraining in Video-Guided Machine Translation](https://aclanthology.org/2024.lrec-main.1380/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
65. [The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities](https://aclanthology.org/2024.acl-long.336/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control](https://aclanthology.org/2024.amta-presentations.6/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations)*
67. [Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation](https://aclanthology.org/2024.findings-acl.710/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
68. [Tweak to Trust: Assessing the Reliability of Summarization Metrics in Contact Centers via Perturbed Summaries](https://aclanthology.org/2024.trustnlp-1.14/) *— 2024 · Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)*
69. [What Have We Achieved on Non-autoregressive Translation?](https://aclanthology.org/2024.findings-acl.452/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
70. [chrF-S: Semantics Is All You Need](https://aclanthology.org/2024.wmt-1.33/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
71. [xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics](https://aclanthology.org/2024.emnlp-main.1223/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
72. [xTower: A Multilingual LLM for Explaining and Correcting Translation Errors](https://aclanthology.org/2024.findings-emnlp.892/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
73. [A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography](https://arxiv.org/abs/2311.16865) *— 2023 · arXiv:2311.16865*
74. [A Context-Aware Annotation Framework for Customer Support Live Chat Machine Translation](https://aclanthology.org/2023.mtsummit-research.24/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
75. [A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models](https://arxiv.org/abs/2309.11674) *— 2023 · arXiv:2309.11674*
76. [A Research-Based Guide for the Creation and Deployment of a Low-Resource Machine Translation System](https://aclanthology.org/2023.ranlp-1.88/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
77. [A Study on the Effectiveness of Large Language Models for Translation with Markup](https://aclanthology.org/2023.mtsummit-research.13/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
78. [ACES: Translation Accuracy Challenge Sets at WMT 2023](https://aclanthology.org/2023.wmt-1.57/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
79. [Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment](https://aclanthology.org/2023.eamt-1.30/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
80. [An Empirical Study of Translation Hypothesis Ensembling with Large Language Models](https://aclanthology.org/2023.emnlp-main.733/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
81. [Augmenting Large Language Model Translators via Translation Memories](https://aclanthology.org/2023.findings-acl.653/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
82. [BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models](https://arxiv.org/abs/2309.06085) *— 2023 · arXiv:2309.06085*
83. [Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish](https://aclanthology.org/2023.ijcnlp-main.52/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
84. [Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics](https://aclanthology.org/2023.mtsummit-research.16/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
85. [Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation](https://arxiv.org/abs/2303.15265) *— 2023 · arXiv:2303.15265*
86. [Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation](https://aclanthology.org/2023.tacl-1.92/) *— 2023*
87. [CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation](https://aclanthology.org/2023.findings-emnlp.519/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
88. [Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective](https://aclanthology.org/2023.wmt-1.58/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
89. [Code-Switching with Word Senses for Pretraining in Neural Machine Translation](https://aclanthology.org/2023.findings-emnlp.859/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
90. [CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models](https://aclanthology.org/2023.emnlp-main.180/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
91. [Cometoid: Distilling Strong Reference-based Machine Translation Metrics into Even Stronger Quality Estimation Metrics](https://aclanthology.org/2023.wmt-1.62/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
92. [Data Sampling and (In)stability in Machine Translation Evaluation](https://aclanthology.org/2023.findings-acl.826/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
93. [Dissecting In-Context Learning of Translations in GPT-3](https://aclanthology.org/2023.findings-emnlp.61/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
94. [EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics](https://aclanthology.org/2023.findings-emnlp.7/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
95. [Empowering a Metric with LLM-assisted Named Entity Annotation: HW-TSC”s Submission to the WMT23 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.70/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
96. [Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation](https://aclanthology.org/2023.findings-emnlp.617/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
97. [EvaHan2023: Overview of the First International Ancient Chinese Translation Bakeoff](https://aclanthology.org/2023.alt-1.1/) *— 2023 · Proceedings of ALT2023: Ancient Language Translation Workshop*
98. [Evaluating Optimal Reference Translations](https://arxiv.org/abs/2311.16787) *— 2023 · arXiv:2311.16787*
99. [Evaluating and Improving the Coreference Capabilities of Machine Translation Models](https://aclanthology.org/2023.eacl-main.69/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
100. [Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences](https://aclanthology.org/2023.emnlp-main.690/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*

Pages: [1](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/cited-by/) · **2** · [3](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/cited-by/page/3/)