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Improving language models by retrieving from trillions of tokens., , , , , , , , , and 18 other author(s). CoRR, (2021)Improving Language Models by Retrieving from Trillions of Tokens., , , , , , , , , and 18 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 2206-2240. PMLR, (2022)An empirical analysis of compute-optimal large language model training., , , , , , , , , and 12 other author(s). NeurIPS, (2022)Intra-agent speech permits zero-shot task acquisition., , , , , , , , , and . NeurIPS, (2022)A Distraction Score for Watermarks., and . CoRR, (2019)Unified Scaling Laws for Routed Language Models., , , , , , , , , and 16 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 4057-4086. PMLR, (2022)Unified Scaling Laws for Routed Language Models., , , , , , , , , and 16 other author(s). CoRR, (2022)Training Compute-Optimal Large Language Models., , , , , , , , , and 12 other author(s). CoRR, (2022)Scaling Language Models: Methods, Analysis & Insights from Training Gopher., , , , , , , , , and 70 other author(s). CoRR, (2021)Simple random search provides a competitive approach to reinforcement learning., , and . CoRR, (2018)