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[← 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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-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** 1. sawada-2025-train-it-forget-it-merge 2. shahnazaryan-2025-contextual-cues-machine-translation-investigating 3. sharma-2022-mtlens-machine-translation-output-debugging 4. sharma-2025-quality-informed-segment-level-error 5. shen-2025-liaozhai-through-looking-glass-paratextual 6. shi-2025-data-augmentation-low-resource-neural 7. shinde-2025-patient-centric-multilingual-question-answering 8. signoroni-2023-muni-nlp-systems-low-resource 9. sigurdsson-2025-up-par-mt-systems-take 10. song-2025-structured-document-translation-format-reinforcement 11. soni-2024-romantra-optimizing-neural-machine-translation 12. souza-2022-quartz-quality-aware-machine-translation 13. staiano-2025-italert-assessing-quality-llms-nmt 14. staliunaite-2025-dis2dis-explaining-ambiguity-fact-checking 15. stap-2024-fine-tuning-paradox-boosting-translation 16. stap-2025-effect-language-diversity-when-fine 17. tamura-2023-does-masked-language-model-pre 18. tan-2022-doubly-trained-adversarial-data-augmentation 19. tan-2024-uva-mt-s-participation-wmt24 20. [teklehaymanot-2025-movoc-morphology-aware-subword-construction](https://md.mova.elamur.ai/free/en/docs/papers/findings-2025-teklehaymanot-movoc-morphology-aware-subword-construction/) *— our card* 21. tokarchuk-2025-angular-dispersion-accelerates-k-nearest 22. torres-2026-camps-m3kang-evaluating-multilingual-multimodal-mathematical 23. tri-2025-diffusion-directed-acyclic-transformer-non 24. trusca-2025-mimicking-how-humans-interpret-out 25. tsiamas-2023-speech-translation-foundation-models-optimal 26. uguet-2022-comparing-multilingual-nmt-models-pivoting 27. ulli-2025-medqwen-pe-medical-qwen-parameter 28. vajda-2025-improving-llms-machine-translation-synthetic 29. vidal-2025-translation-techniques-characterize-mt-outputs 30. volker-2025-salt-semeval-2025-task-2 31. wada-2023-jaspice-automatic-evaluation-metric-predicate 32. waldendorf-2025-multilingual-data-filtering-synthetic-data 33. wan-2025-speechiq-speech-agentic-intelligence-quotient 34. wang-2025-contrastscore-higher-quality-less-biased 35. wang-2025-marco-large-translation-model-wmt2025 36. wastl-2025-machine-translation-models-are-zero 37. widiaputri-2025-naist-offline-speech-translation-system 38. won-2025-end-end-multilingual-automatic-dubbing 39. wong-2024-humanistic-buddhism-corpus-challenging-domain 40. wu-2025-combining-best-both-worlds-method 41. wu-2025-improve-speech-translation-through-text 42. xia-2025-evaluating-modern-large-language-models 43. xiao-2025-empirical-study-iterative-refinements-non 44. xu-2025-self-distillation-recipe-neural-machine 45. xu-2025-wikidata-driven-entity-aware-translation 46. yan-2024-cmu-s-iwslt-2024-offline 47. yang-2024-language-informed-beam-search-decoding 48. yang-2025-rethinking-long-context-generation-continual 49. yang-2025-sheffieldgate-semeval-2025-task-2 50. yang-2025-tuning-less-prompting-more-context 51. yu-2025-imagination-contemplation-balanced-framework-semantic 52. yue-2024-translating-technical-terminology-translation-workflow 53. yuksel-2022-efficient-machine-translation-corpus-generation 54. yuksel-2023-evolvemt-ensemble-mt-engine-improving 55. zafar-2024-setu-adapt-submissions-wmt-2024 56. zafar-2024-setu-dcu-submissions-iwslt-2024 57. zafeiridou-2022-welocalize-arc-nkua-s-submission 58. zelasko-2025-training-inference-efficiency-encoder-decoder 59. zhang-2024-reinforcement-learning-approach-improve-low 60. zhang-2025-argent-automatic-reference-free-evaluation 61. zhang-2025-d-va-validate-your-demonstration 62. zhao-2024-ctc-gmm-ctc-guided-modality 63. zhong-2024-context-consistency-between-training-inference 64. zhou-2025-kg-trick-unifying-textual-relational 65. zhu-2023-leveraging-highly-accurate-word-alignment 66. zong-2022-gtcom-neural-machine-translation-systems 67. zong-2025-dlut-gtcom-s-large-language 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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-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** - [← previous Who cites «COMET: A Neural Framework for MT Evaluation» · page 11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-11/) - [next → Who cites «COMET: A Neural Framework for MT Evaluation» · page 2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-2/) - [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)