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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. DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  2. Don't Take it Literally! Idiom-aware Vietnamese Translation via In-context 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
  3. Efficient Speech Translation through Model Compression and Knowledge Distillation — 2025 · arXiv:2505.20237 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
  4. End-to-End Multilingual Automatic Dubbing via Duration-based Translation with Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  5. English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports — 2025 · arXiv:2502.14338
  6. Enriching the Low-Resource Neural Machine Translation with Large Language Model — 2025 · The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  7. Estimating Machine Translation Difficulty — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  8. Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation — 2025 · Proceedings of the Second Workshop on Ancient Language Processing
  9. Evaluating Language Translation Models by Playing Telephone — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  10. Evaluating Machine Translation Models for English-Hindi Language Pairs: A Comparative Analysis — 2025 · arXiv:2505.19604
  11. Evaluating Modern Large Language Models on Low-Resource and Morphologically Rich Languages:A Cross-Lingual Benchmark Across Cantonese, Japanese, and Turkish — 2025 · arXiv:2511.10664
  12. Evaluating WMT 2025 Metrics Shared Task Submissions on the SSA-MTE African Challenge Set — 2025 · Proceedings of the Tenth Conference on Machine Translation
  13. Evaluation of LLM for English to Hindi Legal Domain Machine Translation Systems — 2025 · Proceedings of the Tenth Conference on Machine Translation
  14. Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective — our card · 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages
  15. Exploring Context Strategies in LLMs for Discourse-Aware Machine Translation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  16. Exploring In-Image Machine Translation with Real-World Background — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  17. Extending Automatic Machine Translation Evaluation to Book-Length Documents — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  18. Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editing — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  19. FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
  20. FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages — 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)
  21. Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain — 2025 · Proceedings of the Tenth Conference on Machine Translation
  22. FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity — 2025 · arXiv:2504.15941
  23. Fanar: An Arabic-Centric Multimodal Generative AI Platform — 2025 · arXiv:2501.13944
  24. Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation — 2025 · arXiv:2509.20287
  25. Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation — 2025 · Proceedings of the Tenth Conference on Machine Translation
  26. Findings of the AmericasNLP 2025 Shared Tasks on Machine Translation, Creation of Educational Material, and Translation Metrics for Indigenous Languages of the Americas — 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)
  27. Findings of the IWSLT 2025 Evaluation Campaign — 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
  28. Findings of the JUST-NLP 2025 Shared Task on English-to-Hindi Legal Machine Translation — 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)
  29. Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation — 2025 · Proceedings of the Tenth Conference on Machine Translation
  30. Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
  31. From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation — 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)
  32. From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  33. G2: Guided Generation for Enhanced Output Diversity in LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  34. Going Beyond Your Expectations in Latency Metrics for Simultaneous Speech Translation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  35. HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation — 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
  36. HW-TSC's Submissions to the WMT 2025 Segment-level Quality Score Prediction Task — 2025 · Proceedings of the Tenth Conference on Machine Translation
  37. Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  38. HausaNLP at SemEval-2025 Task 2: Entity-Aware Fine-tuning vs. Prompt Engineering in Entity-Aware Machine Translation — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
  39. HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  40. How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation — 2025 · arXiv:2511.09748
  41. How ``Real'' is Your Real-Time Simultaneous Speech-to-Text Translation System? — 2025 · Transactions of the Association for Computational Linguistics
  42. How to Evaluate Speech Translation with Source-Aware Neural MT Metrics — 2025 · arXiv:2511.03295
  43. How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  44. How to Select Datapoints for Efficient Human Evaluation of NLG Models? — 2025 · Transactions of the Association for Computational Linguistics
  45. ITALERT: Assessing the Quality of LLMs and NMT in Translating Italian Emergency Response Text — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  46. IberoBench: A Benchmark for LLM Evaluation in Iberian Languages — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  47. Ibom NLP: A Step Toward Inclusive Natural Language Processing for Nigeria''s Minority Languages — 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
  48. Image-Text Relation Prediction for Multilingual Tweets — 2025 · Proceedings of the 1st Workshop on Nordic-Baltic Responsible Evaluation and Alignment of Language Models (NB-REAL 2025)
  49. Imagination and Contemplation: A Balanced Framework for Semantic-Augmented Multimodal Machine Translation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  50. Improve Speech Translation Through Text Rewrite — 2025 · Proceedings of the 31st International Conference on Computational Linguistics: Industry Track
  51. Improving LLMs for Machine Translation Using Synthetic Preference Data — 2025 · Proceedings of the 2nd LUHME Workshop
  52. Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation — 2025 · Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)
  53. Improving Low-Resource Japanese Translation with Fine-Tuning and Backtranslation for the WMT 25 General Translation Task — 2025 · Proceedings of the Tenth Conference on Machine Translation
  54. In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  55. InImageTrans: Multimodal LLM-based Text Image Machine Translation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  56. Instability in Downstream Task Performance During LLM Pretraining — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  57. Instruction-tuned Large Language Models for Machine Translation in the Medical Domain — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  58. Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn''t Help with MT Evaluation — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  59. Investigating Length Issues in Document-level Machine Translation — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  60. Investigating Omission as a Latency Reduction Strategy in Simultaneous Speech Translation — 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
  61. IrokoBench: A New Benchmark for African Languages in the Age of Large Language 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)
  62. Iterative Layer Pruning for Efficient Translation Inference — 2025 · Proceedings of the Tenth Conference on Machine Translation
  63. KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  64. LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based Methods — 2025 · arXiv:2505.16129
  65. LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  66. LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  67. Large Language Models for Persian-English Idiom Translation — 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)
  68. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  69. Let''s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  70. Leveraging Loanword Constraints for Improving Machine Translation in a Low-Resource Multilingual Context — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  71. Leveraging Visual Scene Graph to Enhance Translation Quality in Multimodal Machine Translation — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  72. LexiLogic@CALCS 2025: Predicting Preferences in Generated Code-Switched Text — 2025 · Proceedings of the 7th Workshop on Computational Approaches to Linguistic Code-Switching
  73. Liaozhai through the Looking-Glass: On Paratextual Explicitation of Culture-Bound Terms in Machine Translation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  74. Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
  75. Long-context Reference-based MT Quality Estimation — 2025 · Proceedings of the Tenth Conference on Machine Translation
  76. Lost in Translation: Benchmarking Commercial Machine Translation Models for Dyslexic-Style Text — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  77. Low-Resource Interlinear Translation: Morphology-Enhanced Neural Models for Ancient Greek — 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages
  78. Low-Resource Language Expansion and Translation Capacity Enhancement for LLM: A Study on the Uyghur — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  79. Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
  80. M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  81. M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  82. MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation — 2025 · arXiv:2505.14848
  83. MQM-Chat: Multidimensional Quality Metrics for Chat Translation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  84. MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models — 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
  85. MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  86. MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  87. Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets — 2025 · Computational Linguistics
  88. Machine Translation Metrics for Indigenous Languages Using Fine-tuned Semantic Embeddings — 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)
  89. Machine Translation Models are Zero-Shot Detectors of Translation Direction — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  90. Marco Large Translation Model at WMT2025: Transforming Translation Capability in LLMs via Quality-Aware Training and Decoding — 2025 · Proceedings of the Tenth Conference on Machine Translation
  91. MedQwen-PE: Medical Qwen for Parameter-Efficient Multilingual Patient-Centric Summarization, Question Answering and Information Extraction — 2025 · NLP-AI4Health
  92. Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  93. Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation — 2025 · arXiv:2504.18012
  94. Metaphors in Literary Machine Translation: Close but no cigar? — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
  95. MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task — 2025 · Proceedings of the Tenth Conference on Machine Translation
  96. Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding — 2025 · Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)
  97. Mind the Gap: Diverse NMT Models for Resource-Constrained Environments — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
  98. Mind the Style Gap: Meta-Evaluation of Style and Attribute Transfer Metrics — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  99. Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation — 2025 · arXiv:2512.07540
  100. Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization — 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)

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