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Difficulty-Aware Machine Translation Evaluation.

, , , and . ACL/IJCNLP (2), page 26-32. Association for Computational Linguistics, (2021)

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Variance-Aware Machine Translation Test Sets., , , and . NeurIPS Datasets and Benchmarks, (2021)Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge., , , , , and . ACL (1), page 15536-15550. Association for Computational Linguistics, (2023)Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation., , , and . AAAI, page 14310-14318. AAAI Press, (2021)A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions., , , , , and . CoRR, (2023)Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization., , , , , and . ACL (1), page 807-820. Association for Computational Linguistics, (2023)Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore., , , , , , and . CoRR, (2024)Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System., , and . EACL (System Demonstrations), page 57-66. Association for Computational Linguistics, (2023)Difficulty-Aware Machine Translation Evaluation., , , and . ACL/IJCNLP (2), page 26-32. Association for Computational Linguistics, (2021)TransGEC: Improving Grammatical Error Correction with Translationese., , , , , , , and . ACL (Findings), page 3614-3633. Association for Computational Linguistics, (2023)Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model., , , , and . CoRR, (2024)