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Efficient Large Scale Language Modeling with Mixtures of Experts., , , , , , , , , and 14 other author(s). CoRR, (2021)Effective Long-Context Scaling of Foundation Models., , , , , , , , , and 11 other author(s). CoRR, (2023)Llama 2: Open Foundation and Fine-Tuned Chat Models., , , , , , , , , and 58 other author(s). CoRR, (2023)Few-shot Learning with Multilingual Language Models., , , , , , , , , and 11 other author(s). CoRR, (2021)Causes and Cures for Interference in Multilingual Translation., , , , and . CoRR, (2022)Facebook AI's WMT21 News Translation Task Submission., , , , , and . WMT@EMNLP, page 205-215. Association for Computational Linguistics, (2021)Efficient Large Scale Language Modeling with Mixtures of Experts., , , , , , , , , and 14 other author(s). EMNLP, page 11699-11732. Association for Computational Linguistics, (2022)Beyond English-Centric Multilingual Machine Translation., , , , , , , , , and 6 other author(s). J. Mach. Learn. Res., (2021)No Language Left Behind: Scaling Human-Centered Machine Translation., , , , , , , , , and 28 other author(s). CoRR, (2022)Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference., , , , , , , , and . CoRR, (2023)