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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.mova.elamur.ai/free/en/docs/papers/freitag-2022-results-wmt22-metrics-shared-task/)

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

1. [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*
2. [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*
3. [Is Context Helpful for Chat Translation Evaluation?](https://arxiv.org/abs/2403.08314) *— 2024 · arXiv:2403.08314*
4. [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*
5. [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)*
6. [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*
7. [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*
8. [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*
9. [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*
10. [MT-Ranker: Reference-free machine translation evaluation by inter-system ranking](https://arxiv.org/abs/2401.17099) *— 2024 · arXiv:2401.17099*
11. [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*
12. [MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences](https://arxiv.org/abs/2410.02381) *— 2024 · arXiv:2410.02381*
13. [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)*
14. [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)*
15. [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)*
16. [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*
17. [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)*
18. [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)*
19. [Pitfalls and Outlooks in Using COMET](https://aclanthology.org/2024.wmt-1.121/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
20. [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*
21. [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)*
22. [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)*
23. [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)*
24. [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*
25. [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)*
26. [Revisiting Meta-evaluation for Grammatical Error Correction](https://aclanthology.org/2024.tacl-1.47/) *— 2024*
27. [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*
28. [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*
29. [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)*
30. [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)*
31. [Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling](https://arxiv.org/abs/2410.11325) *— 2024 · arXiv:2410.11325*
32. [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)*
33. [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)*
34. [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*
35. [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)*
36. [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)*
37. [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*
38. [chrF-S: Semantics Is All You Need](https://aclanthology.org/2024.wmt-1.33/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
39. [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*
40. [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*
41. [A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography](https://arxiv.org/abs/2311.16865) *— 2023 · arXiv:2311.16865*
42. [A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models](https://arxiv.org/abs/2309.11674) *— 2023 · arXiv:2309.11674*
43. [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*
44. [ACES: Translation Accuracy Challenge Sets at WMT 2023](https://aclanthology.org/2023.wmt-1.57/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
45. [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*
46. [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*
47. [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*
48. [BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models](https://arxiv.org/abs/2309.06085) *— 2023 · arXiv:2309.06085*
49. [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)*
50. [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*
51. [Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation](https://arxiv.org/abs/2303.15265) *— 2023 · arXiv:2303.15265*
52. [Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation](https://aclanthology.org/2023.tacl-1.92/) *— 2023*
53. [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*
54. [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*
55. [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*
56. [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*
57. [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*
58. [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*
59. [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*
60. [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*
61. [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*
62. [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*
63. [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*
64. [Evaluating Optimal Reference Translations](https://arxiv.org/abs/2311.16787) *— 2023 · arXiv:2311.16787*
65. [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*
66. [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*
67. [Exploring Context-Aware Evaluation Metrics for Machine Translation](https://aclanthology.org/2023.findings-emnlp.1021/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
68. [GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation](https://aclanthology.org/2023.emnlp-main.26/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
69. [GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4](https://aclanthology.org/2023.wmt-1.64/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
70. [ICE-Score: Instructing Large Language Models to Evaluate Code](https://arxiv.org/abs/2304.14317) *— 2023 · arXiv:2304.14317*
71. [INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://aclanthology.org/2023.emnlp-main.365/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
72. [Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search](https://aclanthology.org/2023.emnlp-main.764/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
73. [IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages](https://arxiv.org/abs/2305.16307) *— 2023 · arXiv:2305.16307*
74. [JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing](https://aclanthology.org/2023.findings-emnlp.664/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
75. [KG-IQES: An Interpretable Quality Estimation System for Machine Translation Based on Knowledge Graph](https://aclanthology.org/2023.mtsummit-users.15/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
76. [Large Language Models Are State-of-the-Art Evaluators of Translation Quality](https://aclanthology.org/2023.eamt-1.19/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
77. [Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task](https://aclanthology.org/2023.eval4nlp-1.17/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
78. [MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods](https://arxiv.org/abs/2309.10966) *— 2023 · arXiv:2309.10966*
79. [MEE4 and XLsim : IIIT HYD''s Submissions'' for WMT23 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.66/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
80. [MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation](https://aclanthology.org/2023.iwslt-1.12/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
81. [Metric Score Landscape Challenge (MSLC23): Understanding Metrics'' Performance on a Wider Landscape of Translation Quality](https://aclanthology.org/2023.wmt-1.65/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
82. [MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.63/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
83. [Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 2023](https://aclanthology.org/2023.inlg-genchal.19/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges*
84. [PE effort and neural-based automatic MT metrics: do they correlate?](https://aclanthology.org/2023.eamt-1.31/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
85. [PaLM 2 Technical Report](https://arxiv.org/abs/2305.10403) *— 2023 · arXiv:2305.10403*
86. [Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors](https://aclanthology.org/2023.emnlp-main.712/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
87. [Pulling Out All The Full Stops: Punctuation Sensitivity in Neural Machine Translation and Evaluation](https://aclanthology.org/2023.findings-acl.381/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
88. [Quality Estimation Using Minimum Bayes Risk](https://aclanthology.org/2023.wmt-1.67/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
89. [Reference-Free Summarization Evaluation with Large Language Models](https://aclanthology.org/2023.eval4nlp-1.16/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
90. [Reinforced Self-Training (ReST) for Language Modeling](https://arxiv.org/abs/2308.08998) *— 2023 · arXiv:2308.08998*
91. [Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models](https://aclanthology.org/2023.ijcnlp-main.69/) *— 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)*
92. [Semantically-Informed Regressive Encoder Score](https://aclanthology.org/2023.wmt-1.69/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
93. [Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models](https://arxiv.org/abs/2304.01852) *— 2023 · arXiv:2304.01852 · Meta-Radiology (2023)100017*
94. [TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks](https://arxiv.org/abs/2310.00752) *— 2023 · arXiv:2310.00752*
95. [The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation](https://aclanthology.org/2023.wmt-1.100/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
96. [The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics](https://aclanthology.org/2023.eval4nlp-1.10/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
97. [The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics](https://aclanthology.org/2023.acl-short.94/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
98. [The Role of Compounds in Human vs. Machine Translation Quality](https://aclanthology.org/2023.mtsummit-research.21/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
99. [There''s No Data like Better Data: Using QE Metrics for MT Data Filtering](https://aclanthology.org/2023.wmt-1.50/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
100. [Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration](https://aclanthology.org/2023.emnlp-main.798/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*

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