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# Who cites «COMET: A Neural Framework for MT Evaluation» · page 4

1167 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/rei-2020-comet-neural-framework-mt-evaluation/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-3/) · **4** · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-12/)

1. [Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation](https://aclanthology.org/2025.acl-long.606/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [SlangDIT: Benchmarking LLMs in Interpretative Slang Translation](https://arxiv.org/abs/2505.14181) *— 2025 · arXiv:2505.14181*
3. [Specification-Aware Machine Translation and Evaluation for Purpose Alignment](https://aclanthology.org/2025.wmt-1.7/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
4. [TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement](https://aclanthology.org/2025.findings-naacl.218/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
5. [TRANSLATIONCORRECT: A Unified Framework for Machine Translation Post-Editing with Predictive Error Assistance](https://aclanthology.org/2025.acl-demo.53/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
6. [Tagged Span Annotation for Detecting Translation Errors in Reasoning LLMs](https://aclanthology.org/2025.wmt-1.62/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
7. [Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pre-trained Models](https://arxiv.org/abs/2512.03989) *— 2025 · arXiv:2512.03989 · Findings of the Association for Computational Linguistics: EACL 2026, pages 6492-6516*
8. [Terminology-Constrained Translation from Monolingual Data Using GRPO](https://aclanthology.org/2025.wmt-1.111/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
9. [The Devil is in the Details: Assessing the Effects of Machine-Translation on LLM Performance in Domain-Specific Texts](https://aclanthology.org/2025.mtsummit-1.24/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
10. [The Impact of Domain-Specific Terminology on Machine Translation for Finance in European Languages](https://aclanthology.org/2025.naacl-long.140/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
11. [To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation](https://aclanthology.org/2025.coling-main.206/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
12. [Tokenization on Trial: The Case of Kalaallisut–Danish Legal Machine Translation](https://aclanthology.org/2025.nodalida-1.52/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
13. [Towards Automatic Evaluation for Image Transcreation](https://aclanthology.org/2025.naacl-long.359/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
14. [Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models](https://aclanthology.org/2025.naacl-long.366/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
15. [Towards Zero-Shot Multimodal Machine Translation](https://aclanthology.org/2025.findings-naacl.45/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
16. [TransBench: Benchmarking Machine Translation for Industrial-Scale Applications](https://arxiv.org/abs/2505.14244) *— 2025 · arXiv:2505.14244*
17. [Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations](https://aclanthology.org/2025.findings-acl.26/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
18. [Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations](https://aclanthology.org/2025.mtsummit-1.42/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
19. [Translation Entropy: A Statistical Framework for Evaluating Translation Systems](https://arxiv.org/abs/2511.13180) *— 2025 · arXiv:2511.13180*
20. [TriFine: A Large-Scale Dataset of Vision-Audio-Subtitle for Tri-Modal Machine Translation and Benchmark with Fine-Grained Annotated Tags](https://aclanthology.org/2025.coling-main.547/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
21. [Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models](https://aclanthology.org/2025.emnlp-main.1807/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
22. [Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement](https://aclanthology.org/2025.emnlp-main.924/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
23. [What can Large Language Models Capture about Code Functional Equivalence?](https://aclanthology.org/2025.findings-naacl.382/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
24. [Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above](https://aclanthology.org/2025.acl-long.169/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [bytF: How Good Are Byte Level N-Gram F-Scores for Automatic Machine Translation Evaluation?](https://aclanthology.org/2025.mtsummit-1.29/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
26. [藏汉篇章机器翻译研究及语料库构建](https://aclanthology.org/2025.ccl-1.54/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
27. [A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls](https://arxiv.org/abs/2412.01340) *— 2024 · arXiv:2412.01340*
28. [A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content](https://aclanthology.org/2024.wmt-1.113/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
29. [A New Benchmark for Kalaallisut-Danish Neural Machine Translation](https://aclanthology.org/2024.americasnlp-1.7/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
30. [A Novel Paradigm Boosting Translation Capabilities of Large Language Models](https://aclanthology.org/2024.findings-naacl.42/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
31. [Addressing Entity Translation Problem via Translation Difficulty and Context Diversity](https://aclanthology.org/2024.findings-acl.691/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
32. [AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages](https://aclanthology.org/2024.naacl-long.334/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
33. [Aligning Translation-Specific Understanding to General Understanding in Large Language Models](https://aclanthology.org/2024.emnlp-main.289/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
34. [An Analysis of BPE Vocabulary Trimming in Neural Machine Translation](https://aclanthology.org/2024.insights-1.7/) *— 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP*
35. [An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation](https://arxiv.org/abs/2412.18190) *— 2024 · arXiv:2412.18190*
36. [Analysis of the Annotations from a Crowd MT Evaluation Initiative: Case Study for the Spanish-Basque Pair](https://aclanthology.org/2024.eamt-1.44/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
37. [AnyTrans: Translate AnyText in the Image with Large Scale Models](https://aclanthology.org/2024.findings-emnlp.137/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
38. [Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation](https://aclanthology.org/2024.tacl-1.22/) *— 2024 · Transactions of the Association for Computational Linguistics*
39. [Are LLM-based Evaluators Confusing NLG Quality Criteria?](https://aclanthology.org/2024.acl-long.516/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?](https://aclanthology.org/2024.wat-1.4/) *— 2024 · Proceedings of the Eleventh Workshop on Asian Translation (WAT 2024)*
41. [Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?](https://aclanthology.org/2024.tacl-1.69/) *— 2024 · Transactions of the Association for Computational Linguistics*
42. [Automatic Quality Estimation for Data Selection and Curriculum Learning](https://aclanthology.org/2024.conll-babylm.18/) *— 2024 · The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning*
43. [BLASER 2.0: a metric for evaluation and quality estimation of massively multilingual speech and text translation](https://aclanthology.org/2024.findings-emnlp.943/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
44. [BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training](https://aclanthology.org/2024.emnlp-main.925/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
45. [Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels](https://arxiv.org/abs/2411.13775) *— 2024 · arXiv:2411.13775*
46. [Benchmarking Large Language Models on CFLUE - A Chinese Financial Language Understanding Evaluation Dataset](https://aclanthology.org/2024.findings-acl.337/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
47. [Benchmarking Low-Resource Machine Translation Systems](https://aclanthology.org/2024.loresmt-1.18/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
48. [Benchmarking Machine Translation with Cultural Awareness](https://aclanthology.org/2024.findings-emnlp.765/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
49. [Benchmarking Visually-Situated Translation of Text in Natural Images](https://aclanthology.org/2024.wmt-1.115/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
50. [Benchmarking the Performance of Machine Translation Evaluation Metrics with Chinese Multiword Expressions](https://aclanthology.org/2024.lrec-main.198/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
51. [Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics](https://md.mova.elamur.ai/free/en/docs/papers/perrella-2024-beyond-correlation-interpretable-evaluation-machine/) *— our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
52. [Beyond Reference: Evaluating High Quality Translations Better than Human References](https://aclanthology.org/2024.emnlp-main.294/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
53. [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)*
54. [CATER: Leveraging LLM to Pioneer a Multidimensional, Reference-Independent Paradigm in Translation Quality Evaluation](https://arxiv.org/abs/2412.11261) *— 2024 · arXiv:2412.11261*
55. [CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation](https://aclanthology.org/2024.findings-eacl.125/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
56. [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)*
57. [COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation](https://aclanthology.org/2024.acl-long.686/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
58. [Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric](https://aclanthology.org/2024.findings-emnlp.353/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
59. [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)*
60. [Centroid-Based Efficient Minimum Bayes Risk Decoding](https://aclanthology.org/2024.findings-acl.654/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
61. [Chain-of-Dictionary Prompting Elicits Translation in Large Language Models](https://aclanthology.org/2024.emnlp-main.55/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
62. [CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages](https://aclanthology.org/2024.eacl-short.26/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
63. [Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics](https://aclanthology.org/2024.eacl-short.9/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
64. [Charles Locock, Lowcock or Lockhart? Offline Speech Translation: Test Suite for Named Entities](https://aclanthology.org/2024.iwslt-1.35/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
65. [Charles Translator: A Machine Translation System between Ukrainian and Czech](https://aclanthology.org/2024.lrec-main.271/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
66. [Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation](https://aclanthology.org/2024.eamt-1.11/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
67. [Choose the Final Translation from NMT and LLM Hypotheses Using MBR Decoding: HW-TSC''s Submission to the WMT24 General MT Shared Task](https://aclanthology.org/2024.wmt-1.9/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
68. [Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation](https://aclanthology.org/2024.emnlp-main.28/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
69. [Comparative Quality Assessment of Human and Machine Translation with Best-Worst Scaling](https://aclanthology.org/2024.eamt-1.42/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
70. [Conformalizing Machine Translation Evaluation](https://aclanthology.org/2024.tacl-1.80/) *— 2024 · Transactions of the Association for Computational Linguistics*
71. [Context-Aware Machine Translation with Source Coreference Explanation](https://aclanthology.org/2024.tacl-1.48/) *— 2024*
72. [Context-Aware Neural Machine Translation Models Analysis And Evaluation Through Attention](https://aclanthology.org/2023.tal-3.4/) *— 2024*
73. [Correcting FLORES Evaluation Dataset for Four African Languages](https://aclanthology.org/2024.wmt-1.44/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
74. [Creative and Context-Aware Translation of East Asian Idioms with GPT-4](https://aclanthology.org/2024.findings-emnlp.544/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
75. [CycleGN: A Cycle Consistent Approach for Neural Machine Translation](https://aclanthology.org/2024.wmt-1.10/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
76. [DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding](https://aclanthology.org/2024.lrec-main.395/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
77. [DCU-ADAPT-modPB at the GEM''24 Data-to-Text Generation Task: Model Hybridisation for Pipeline Data-to-Text Natural Language Generation](https://aclanthology.org/2024.inlg-genchal.7/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges*
78. [Data-driven Asian Adapted MQM Typology and Automation in Translation Quality Workflows](https://www.jostrans.org/article/view/4713) *— 2024 · The Journal of Specialised Translation (JoSTrans)*
79. [DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators](https://aclanthology.org/2024.emnlp-main.1131/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
80. [DejaVu: Disambiguation evaluation dataset for English-JApanese machine translation on VisUal information](https://aclanthology.org/2024.paclic-1.50/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
81. [Detector–Corrector: Edit-Based Automatic Post Editing for Human Post Editing](https://aclanthology.org/2024.eamt-1.18/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
82. [Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding](https://aclanthology.org/2024.naacl-short.34/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
83. [Document Image Machine Translation with Dynamic Multi-pre-trained Models Assembling](https://aclanthology.org/2024.naacl-long.392/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
84. [Document-level Translation with LLM Reranking: Team-J at WMT 2024 General Translation Task](https://aclanthology.org/2024.wmt-1.14/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
85. [Domain Dynamics: Evaluating Large Language Models in English-Hindi Translation](https://aclanthology.org/2024.wmt-1.27/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
86. [Domain-Aware $k$-Nearest-Neighbor Knowledge Distillation for Machine Translation](https://aclanthology.org/2024.findings-acl.563/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
87. [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)*
88. [Efficient $k$-Nearest-Neighbor Machine Translation with Dynamic Retrieval](https://aclanthology.org/2024.findings-acl.475/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
89. [Empowering Diffusion Models on the Embedding Space for Text Generation](https://aclanthology.org/2024.naacl-long.261/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
90. [Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models](https://aclanthology.org/2024.eamt-1.25/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
91. [Enhancing Scientific Discourse: Machine Translation for the Scientific Domain](https://aclanthology.org/2024.eamt-1.23/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
92. [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*
93. [Estonian-Centric Machine Translation: Data, Models, and Challenges](https://aclanthology.org/2024.eamt-1.55/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
94. [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*
95. [Evaluating WMT 2024 Metrics Shared Task Submissions on AfriMTE (the African Challenge Set)](https://aclanthology.org/2024.wmt-1.36/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
96. [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)*
97. [Evaluating the Translation Performance of Large Language Models Based on Euas-20](https://arxiv.org/abs/2408.03119) *— 2024 · arXiv:2408.03119*
98. [Evaluation and Large-scale Training for Contextual Machine Translation](https://aclanthology.org/2024.wmt-1.112/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
99. [FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes](https://aclanthology.org/2024.eamt-1.16/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
100. [FINDINGS OF THE IWSLT 2024 EVALUATION CAMPAIGN](https://aclanthology.org/2024.iwslt-1.1/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*

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