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Vega-MT: The JD Explore Academy Machine Translation System for WMT22.

, , , , , , , , , , , and . WMT, page 411-422. Association for Computational Linguistics, (2022)

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Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction., , , , and . LREC/COLING, page 15552-15565. ELRA and ICCL, (2024)Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction., , , , and . ICONIP (3), volume 12534 of Lecture Notes in Computer Science, page 63-75. Springer, (2020)Vega-MT: The JD Explore Academy Machine Translation System for WMT22., , , , , , , , , and 2 other author(s). WMT, page 411-422. Association for Computational Linguistics, (2022)Vega-MT: The JD Explore Academy Translation System for WMT22., , , , , , , , , and 2 other author(s). CoRR, (2022)Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE., , , , , , , and . CoRR, (2023)Token-Level Self-Evolution Training for Sequence-to-Sequence Learning., , , , , , and . ACL (2), page 841-850. Association for Computational Linguistics, (2023)Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (4): 2365-2376 (2022)Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer., , , , , , and . CoRR, (2023)Towards Making the Most of ChatGPT for Machine Translation., , , , , , , and . EMNLP (Findings), page 5622-5633. Association for Computational Linguistics, (2023)