Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust» · page 3
- Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative — 2023 · Proceedings of the Eighth Conference on Machine Translation
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- Towards Explainable Evaluation Metrics for Machine Translation — 2023 · arXiv:2306.13041 · Journal of Machine Learning Research (JMLR), 2024, vol. 25, no. 75, p. 1-49
- Towards Formality-Aware Neural Machine Translation by Leveraging Context Information — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Towards Making the Most of ChatGPT for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End — 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
- Which is better? Exploring Prompting Strategy For LLM-based Metrics — 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
- eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings — 2023 · Proceedings of the Eighth Conference on Machine Translation
- COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
- Robust MT Evaluation with Sentence-level Multilingual Augmentation — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
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