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Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation.

, , , , , and . ACL (Findings), page 3546-3562. Association for Computational Linguistics, (2024)

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Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables., , , , , and . EMNLP (Findings), page 4321-4327. Association for Computational Linguistics, (2021)MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?, , , , , , , , , and 9 other author(s). CoRR, (2024)Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation., , , , , and . ACL (Findings), page 3546-3562. Association for Computational Linguistics, (2024)Federated Self-Explaining GNNs with Anti-shortcut Augmentations., , , , , , , and . ICML, OpenReview.net, (2024)Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer., , , , and . EMNLP, page 15592-15608. Association for Computational Linguistics, (2023)Interventional Rationalization., , , , , and . EMNLP, page 11404-11418. Association for Computational Linguistics, (2023)Non-Parametric Domain Adaptation for End-to-End Speech Translation., , , , , , and . EMNLP, page 306-320. Association for Computational Linguistics, (2022)Simple and Scalable Nearest Neighbor Machine Translation., , , , , , and . ICLR, OpenReview.net, (2023)Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement., , , , , and . AAAI, page 10590-10598. AAAI Press, (2022)Inheritance-Guided Hierarchical Assignment for Clinical Automatic Diagnosis., , , , , , , and . DASFAA (3), volume 12683 of Lecture Notes in Computer Science, page 461-477. Springer, (2021)