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Do GPTs Produce Less Literal Translations?, , , and . CoRR, (2023)Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs., , , , , , and . WMT@EMNLP, page 130-135. Association for Computational Linguistics, (2021)XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders., , , , , , , , , and 3 other author(s). CoRR, (2020)Leveraging GPT-4 for Automatic Translation Post-Editing., , , , and . EMNLP (Findings), page 12009-12024. Association for Computational Linguistics, (2023)FastFormers: Highly Efficient Transformer Models for Natural Language Understanding., and . CoRR, (2020)Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU., , , , and . CoRR, (2022)Dissecting In-Context Learning of Translations in GPTs., , and . CoRR, (2023)Task-Based MoE for Multitask Multilingual Machine Translation., , , , , and . CoRR, (2023)Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness., , and . CoRR, (2023)DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders., , , , , , , , and . CoRR, (2021)