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DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders.

, , , , , , , , and . CoRR, (2021)

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Multi-task Learning for Multilingual Neural Machine Translation., , and . CoRR, (2020)FastFormers: Highly Efficient Transformer Models for Natural Language Understanding., and . CoRR, (2020)XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders., , , , , , , , , and 3 other author(s). CoRR, (2020)Do GPTs Produce Less Literal Translations?, , , and . CoRR, (2023)Building Multilingual Machine Translation Systems That Serve Arbitrary X-Y Translations., , , and . CoRR, (2022)Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs., , , , , , and . WMT@EMNLP, page 130-135. Association for Computational Linguistics, (2021)Leveraging GPT-4 for Automatic Translation Post-Editing., , , , and . EMNLP (Findings), page 12009-12024. Association for Computational Linguistics, (2023)Dissecting In-Context Learning of Translations in GPTs., , and . CoRR, (2023)Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU., , , , and . CoRR, (2022)FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs., , , and . CoRR, (2023)