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Hierarchical Transformers Are More Efficient Language Models.

, , , , , , and . NAACL-HLT (Findings), page 1559-1571. Association for Computational Linguistics, (2022)

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Monadic Second Order Logic with Measure and Category Quantifiers., , and . CoRR, (2017)On the Strength of Unambiguous Tree Automata., and . Int. J. Found. Comput. Sci., 29 (5): 911-933 (2018)Hierarchical Reinforcement Learning with Parameters., , and . CoRL, volume 78 of Proceedings of Machine Learning Research, page 301-313. PMLR, (2017)Language Model Cascades., , , , , , , , , and 2 other author(s). CoRR, (2022)A Simple, Yet Effective Approach to Finding Biases in Code Generation., , and . CoRR, (2022)Structured Packing in LLM Training Improves Long Context Utilization., , , , , and . CoRR, (2023)Language Model Cascades, , , , , , , , , and 2 other author(s). (2022)cite arxiv:2207.10342Comment: Presented as spotlight at the Beyond Bases workshop at ICML 2022 (https://beyond-bayes.github.io).Off-Policy Correction For Multi-Agent Reinforcement Learning., , , and . AAMAS, page 1774-1776. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Multi-Game Decision Transformers., , , , , , , , , and 1 other author(s). NeurIPS, (2022)Solving Quantitative Reasoning Problems with Language Models., , , , , , , , , and 4 other author(s). NeurIPS, (2022)