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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

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  1. Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation — 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 — 2025 · arXiv:2505.14181
  3. Specification-Aware Machine Translation and Evaluation for Purpose Alignment — 2025 · Proceedings of the Tenth Conference on Machine Translation
  4. TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  5. TRANSLATIONCORRECT: A Unified Framework for Machine Translation Post-Editing with Predictive Error Assistance — 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 — 2025 · Proceedings of the Tenth Conference on Machine Translation
  7. Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pre-trained Models — 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 — 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 — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  10. The Impact of Domain-Specific Terminology on Machine Translation for Finance in European Languages — 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 — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  12. Tokenization on Trial: The Case of Kalaallisut–Danish Legal Machine Translation — 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 — 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 — 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 — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  16. TransBench: Benchmarking Machine Translation for Industrial-Scale Applications — 2025 · arXiv:2505.14244
  17. Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  18. Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  19. Translation Entropy: A Statistical Framework for Evaluating Translation Systems — 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 — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  21. Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models — 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 — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  23. What can Large Language Models Capture about Code Functional Equivalence? — 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 — 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? — 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 — 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 — 2024 · arXiv:2412.01340
  28. A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content — 2024 · Proceedings of the Ninth Conference on Machine Translation
  29. A New Benchmark for Kalaallisut-Danish Neural Machine Translation — 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 — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  31. Addressing Entity Translation Problem via Translation Difficulty and Context Diversity — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  32. AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages — 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 — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  34. An Analysis of BPE Vocabulary Trimming in Neural Machine Translation — 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 — 2024 · arXiv:2412.18190
  36. Analysis of the Annotations from a Crowd MT Evaluation Initiative: Case Study for the Spanish-Basque Pair — 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 — 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 — 2024 · Transactions of the Association for Computational Linguistics
  39. Are LLM-based Evaluators Confusing NLG Quality Criteria? — 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? — 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? — 2024 · Transactions of the Association for Computational Linguistics
  42. Automatic Quality Estimation for Data Selection and Curriculum Learning — 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 — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  44. BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training — 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 — 2024 · arXiv:2411.13775
  46. Benchmarking Large Language Models on CFLUE - A Chinese Financial Language Understanding Evaluation Dataset — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  47. Benchmarking Low-Resource Machine Translation Systems — 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
  48. Benchmarking Machine Translation with Cultural Awareness — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  49. Benchmarking Visually-Situated Translation of Text in Natural Images — 2024 · Proceedings of the Ninth Conference on Machine Translation
  50. Benchmarking the Performance of Machine Translation Evaluation Metrics with Chinese Multiword Expressions — 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 — 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 — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  53. BiVert: Bidirectional Vocabulary Evaluation Using Relations for Machine Translation — 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 — 2024 · arXiv:2412.11261
  55. CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation — 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 — 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 — 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 — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  59. CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations — 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 — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  61. Chain-of-Dictionary Prompting Elicits Translation in Large Language Models — 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 — 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 — 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 — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
  65. Charles Translator: A Machine Translation System between Ukrainian and Czech — 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 — 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 — 2024 · Proceedings of the Ninth Conference on Machine Translation
  68. Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation — 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 — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  70. Conformalizing Machine Translation Evaluation — 2024 · Transactions of the Association for Computational Linguistics
  71. Context-Aware Machine Translation with Source Coreference Explanation — 2024
  72. Context-Aware Neural Machine Translation Models Analysis And Evaluation Through Attention — 2024
  73. Correcting FLORES Evaluation Dataset for Four African Languages — 2024 · Proceedings of the Ninth Conference on Machine Translation
  74. Creative and Context-Aware Translation of East Asian Idioms with GPT-4 — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  75. CycleGN: A Cycle Consistent Approach for Neural Machine Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
  76. DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding — 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 — 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 — 2024 · The Journal of Specialised Translation (JoSTrans)
  79. DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators — 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 — 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 — 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 — 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 — 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 — 2024 · Proceedings of the Ninth Conference on Machine Translation
  85. Domain Dynamics: Evaluating Large Language Models in English-Hindi Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
  86. Domain-Aware $k$-Nearest-Neighbor Knowledge Distillation for Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  87. Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation — 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 — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  89. Empowering Diffusion Models on the Embedding Space for Text Generation — 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 — 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 — 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 — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  93. Estonian-Centric Machine Translation: Data, Models, and Challenges — 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 — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  95. Evaluating WMT 2024 Metrics Shared Task Submissions on AfriMTE (the African Challenge Set) — 2024 · Proceedings of the Ninth Conference on Machine Translation
  96. Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation — 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 — 2024 · arXiv:2408.03119
  98. Evaluation and Large-scale Training for Contextual Machine Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
  99. FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
  100. FINDINGS OF THE IWSLT 2024 EVALUATION CAMPAIGN — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)

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