[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2022-results-wmt22-metrics-shared-task-3/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust» · page 3 # Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust» · page 3 251 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/freitag-2022-results-wmt22-metrics-shared-task/) Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2022-results-wmt22-metrics-shared-task/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2022-results-wmt22-metrics-shared-task-2/) · **3** 1. [Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative](https://aclanthology.org/2023.wmt-1.59/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation* 2. [Towards Effective Disambiguation for Machine Translation with Large Language Models](https://aclanthology.org/2023.wmt-1.44/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation* 3. [Towards Explainable Evaluation Metrics for Machine Translation](https://arxiv.org/abs/2306.13041) *— 2023 · arXiv:2306.13041 · Journal of Machine Learning Research (JMLR), 2024, vol. 25, no. 75, p. 1-49* 4. [Towards Formality-Aware Neural Machine Translation by Leveraging Context Information](https://aclanthology.org/2023.findings-emnlp.494/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023* 5. [Towards Making the Most of ChatGPT for Machine Translation](https://aclanthology.org/2023.findings-emnlp.373/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023* 6. [Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level](https://aclanthology.org/2023.wmt-1.96/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation* 7. [Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End](https://aclanthology.org/2023.eval4nlp-1.6/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems* 8. [Which is better? Exploring Prompting Strategy For LLM-based Metrics](https://aclanthology.org/2023.eval4nlp-1.14/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems* 9. [eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings](https://aclanthology.org/2023.wmt-1.61/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation* 10. [COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task](https://aclanthology.org/2022.wmt-1.52/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)* 11. [Robust MT Evaluation with Sentence-level Multilingual Augmentation](https://aclanthology.org/2022.wmt-1.43/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)* 12. anschutz-2025-dis-improved-how-simplified-language 13. baswani-2023-ltrc-iiith-s-2023-submission 14. caswell-2023-separating-wheat-chaff-bread-open 15. cavalin-2024-fixing-rogue-memorization-many-one 16. chen-2024-improving-nmt-low-resource-source 17. cui-2025-crpo-confidence-reward-driven-preference 18. daniken-2024-favi-score-measure-favoritism-automated 19. deviyani-2025-contextual-metric-meta-evaluation-measuring 20. diianni-2025-don-t-sweat-small-stuff 21. eigler-2026-llm-as-meta-judge-synthetic 22. eldifrawi-2025-fingract-framework-fine-grrained-evaluation 23. feng-2026-mt-3-synergistic-multi-task 24. guerra-2026-document-summarization-ai-based-post 25. hanneman-2024-impacts-misspelled-queries-translation-product 26. jinnai-2025-document-level-text-generation-minimum 27. koretaka-2025-targeted-source-text-editing-machine 28. kumar-2026-srcmix-mixing-related-source-languages 29. larionov-2023-team-nllg-submission-eval4nlp-2023 30. li-2024-non-autoregressive-machine-translation-as 31. li-2024-what-have-we-achieved-non 32. liu-2024-calibrating-llm-based-evaluator 33. liu-2024-hd-eval-aligning-large-language 34. liu-2024-recent-highlights-multilingual-multimodal-speech 35. mahmoudi-2023-exploring-prompting-large-language-models 36. menezes-2023-context-aware-annotation-framework-customer 37. nakhle-2023-l-evaluation-de-la-traduction 38. ortega-2023-research-based-guide-creation-deployment 39. patel-2024-tweak-trust-assessing-reliability-summarization 40. pitorro-2024-how-effective-are-state-space 41. scalvini-2025-prompt-engineering-enhances-faroese-mt 42. sia-2024-anti-lm-decoding-zero-shot 43. signoroni-2025-efficient-architectures-low-resource-machine 44. souza-2025-generative-ai-technical-writing-comparing 45. stap-2024-fine-tuning-paradox-boosting-translation 46. wang-2025-contrastscore-higher-quality-less-biased 47. wang-2025-marco-large-translation-model-wmt2025 48. xiao-2025-machine-translation-literacy-how-lay 49. ye-2024-sing-it-narrate-it-quality 50. zhang-2023-hit-mi-t-lab-s 51. zou-2025-do-llms-understand-wine-descriptors Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2022-results-wmt22-metrics-shared-task/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2022-results-wmt22-metrics-shared-task-2/) · **3** - [← previous Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust» · page 2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2022-results-wmt22-metrics-shared-task-2/) - [next → Who cites «Facilitating the Communication of Politeness through Fine-Grained Paraphrasing»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/fu-2020-facilitating-communication-politeness-through-fine/) - [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)