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Who cites «COMET: A Neural Framework for MT Evaluation» · page 5

1167 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. MoVoC: Morphology-Aware Subword Construction for Ge''ez Script Languages — our card · 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  2. MoVoC: Morphology-Aware Subword Construction for Geez Script Languages — 2025 · arXiv:2509.08812
  3. Multi-Agent Cross-Lingual Veracity Assessment for Explainable Fake News Detection — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  4. Multi-Hypothesis Distillation of Multilingual Neural Translation Models for Low-Resource Languages — 2025 · arXiv:2507.21568
  5. Multi-agentMT: Deploying AI Agent in the WMT25 Shared Task — 2025 · Proceedings of the Tenth Conference on Machine Translation
  6. Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. Multilingual Data Filtering using Synthetic Data from Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  8. Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study — 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)
  9. Multilingual Pre-training Meets Supervised Neural Machine Translation: A Reproducible Evaluation on English–French and Finnish Translation — 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
  10. Multimodal Neural Machine Translation: A Survey of the State of the Art — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  11. NAIST Offline Speech Translation System for IWSLT 2025 — 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
  12. No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  13. Nvidia-Nemo's WMT 2025 Metrics Shared Task Submission — 2025 · Proceedings of the Tenth Conference on Machine Translation
  14. On Non-interactive Evaluation of Animal Communication Translators — 2025 · arXiv:2510.15768
  15. Open-domain Arabic Conversational Question Answering with Question Rewriting — 2025 · Proceedings of The Third Arabic Natural Language Processing Conference
  16. OpusDistillery: A Configurable End-to-End Pipeline for Systematic Multilingual Distillation of Open NMT Models — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
  17. PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  18. PATIMT-Bench: A Multi-Scenario Benchmark for Position-Aware Text Image Machine Translation in Large Vision-Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  19. PRIM: Towards Practical In-Image Multilingual Machine Translation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  20. Parallel Corpora for Machine Translation in Low-resource Indic Languages: A Comprehensive Review — 2025 · arXiv:2503.04797
  21. Patient-Centric Multilingual Question Answering and Summary Generation for Head and Neck Cancer and Blood Donation — 2025 · NLP-AI4Health
  22. Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics — 2025 · arXiv:2510.22028
  23. Peut-on faire confiance aux juges ? Validation de méthodes d'évaluation de la factualité par perturbation des réponses — 2025 · Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM)
  24. PrahokBART: A Pre-trained Sequence-to-Sequence Model for Khmer Natural Language Generation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  25. Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  26. Pun2Pun: Benchmarking LLMs on Textual-Visual Chinese-English Pun Translation via Pragmatics Model and Linguistic Reasoning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  27. QE4PE: Word-level Quality Estimation for Human Post-Editing — 2025 · Transactions of the Association for Computational Linguistics
  28. Quality Beyond A Glance: Revealing Large Quality Differences Between Web-Crawled Parallel Corpora — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  29. Quality Estimation Reranking for Document-Level Translation — 2025 · arXiv:2510.08870
  30. Quality Estimation and Post-Editing Using LLMs For Indic Languages: How Good Is It? — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  31. Quality Matters Measuring the Effect of Human-Annotated Translation Quality on English-Slovak Machine Translation — 2025 · Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models
  32. Quality-Informed Segment-Level Error Correction Using Natural Language Explanations from xTower and Large Language Models — 2025 · Proceedings of the Tenth Conference on Machine Translation
  33. RankedCOMET: Elevating a 2022 Baseline to a Top-5 Finish in the WMT 2025 QE Task — 2025 · Proceedings of the Tenth Conference on Machine Translation
  34. Ranking Over Scoring: Towards Reliable and Robust Automated Evaluation of LLM-Generated Medical Explanatory Arguments — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  35. ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  36. Reasoning for Translation: Comparative Analysis of Chain-of-Thought and Tree-of-Thought Prompting for LLM Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  37. Refined Assessment for Translation Evaluation: Rethinking Machine Translation Evaluation in the Era of Human-Level Systems — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  38. Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  39. Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment — 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)
  40. Rethinking Long Context Generation from the Continual Learning Perspective — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  41. SAHA: Samvad AI for Healthcare Assistance — 2025 · NLP-AI4Health
  42. SALT at SemEval-2025 Task 2: A SQL-based Approach for LLM-Free Entity-Aware-Translation — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
  43. SASST: Leveraging Syntax-Aware Chunking and LLMs for Simultaneous Speech Translation — 2025 · arXiv:2508.07781
  44. SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  45. SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages? — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  46. Scaling Low-Resource MT via Synthetic Data Generation with LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  47. Self-Evolution Knowledge Distillation for LLM-based Machine Translation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  48. SemEval-2025 Task 2: Entity-Aware Machine Translation — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
  49. SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  50. SheffieldGATE at SemEval-2025 Task 2: Multi-Stage Reasoning with Knowledge Fusion for Entity Translation — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
  51. Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  52. Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems — 2025 · arXiv:2512.17648
  53. 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)
  54. SlangDIT: Benchmarking LLMs in Interpretative Slang Translation — 2025 · arXiv:2505.14181
  55. Specification-Aware Machine Translation and Evaluation for Purpose Alignment — 2025 · Proceedings of the Tenth Conference on Machine Translation
  56. SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  57. SpeechT: Findings of the First Mentorship in Speech Translation — 2025 · Proceedings of Machine Translation Summit XX: Volume 2
  58. Structure-Conditional Minimum Bayes Risk Decoding — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  59. Structured Document Translation via Format Reinforcement Learning — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  60. Sustainable Italian LLM Evaluation: Community Perspectives and Methodological Guidelines — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
  61. TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  62. THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  63. 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)
  64. Tackling Low-Resource NMT with Instruction-Tuned LLaMA: A Study on Kokborok and Bodo — 2025 · Proceedings of the Tenth Conference on Machine Translation
  65. Tagged Span Annotation for Detecting Translation Errors in Reasoning LLMs — 2025 · Proceedings of the Tenth Conference on Machine Translation
  66. Tailoring Machine Translation for Scientific Literature through Topic Filtering and Fuzzy Match Augmentation — 2025 · Proceedings of the Eleventh Workshop on Patent and Scientific Literature Translation (PSLT 2025)
  67. Targeted Source Text Editing for Machine Translation: Exploiting Quality Estimators and Large Language Models — 2025 · Proceedings of the Tenth Conference on Machine Translation
  68. 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
  69. Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
  70. Terminology-Constrained Translation from Monolingual Data Using GRPO — 2025 · Proceedings of the Tenth Conference on Machine Translation
  71. 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
  72. The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  73. 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)
  74. Theoretical Guarantees for Minimum Bayes Risk Decoding — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  75. To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  76. 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)
  77. Toward Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST) — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  78. 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)
  79. 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)
  80. Towards Zero-Shot Multimodal Machine Translation — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  81. Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  82. Training and Inference Efficiency of Encoder-Decoder Speech Models — 2025 · arXiv:2503.05931
  83. TransBench: Benchmarking Machine Translation for Industrial-Scale Applications — 2025 · arXiv:2505.14244
  84. Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  85. Translating Domain-Specific Terminology in Typologically-Diverse Languages: A Study in Tax and Financial Education — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  86. Translating Movie Subtitles by Large Language Models using Movie-meta Information — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  87. Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  88. Translation Entropy: A Statistical Framework for Evaluating Translation Systems — 2025 · arXiv:2511.13180
  89. 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
  90. Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  91. Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  92. 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
  93. Up to Par? MT Systems Take a Shot at Sports Terminology — 2025 · Proceedings of the Tenth Conference on Machine Translation
  94. Using Translation Techniques to Characterize MT Outputs — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  95. VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  96. ViDove: A Translation Agent System with Multimodal Context and Memory-Augmented Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  97. Vicomtech@WMT 2025: Evolutionary Model Compression for Machine Translation — 2025 · Proceedings of the Tenth Conference on Machine Translation
  98. Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  99. What can Large Language Models Capture about Code Functional Equivalence? — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  100. 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)

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