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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)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)Multi-Level Curriculum Learning for Multi-Turn Dialogue Generation., , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)Human-in-the-loop Machine Translation with Large Language Model., , , , and . CoRR, (2023)Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model., , , 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)