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*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task., , , , , and . CoRR, (2020)Least-to-Most Prompting Enables Complex Reasoning in Large Language Models., , , , , , , , , and 1 other author(s). ICLR, OpenReview.net, (2023)*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task., , , , , and . AAAI, page 9949-9957. AAAI Press, (2021)Compositional Semantic Parsing with Large Language Models., , , , , , , and . CoRR, (2022)Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them., , , , , , , , , and 1 other author(s). CoRR, (2022)Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them., , , , , , , , , and 1 other author(s). ACL (Findings), page 13003-13051. Association for Computational Linguistics, (2023)Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures., , , and . CoRR, (2020)Measuring Compositional Generalization: A Comprehensive Method on Realistic Data., , , , , , , , , and 4 other author(s). CoRR, (2019)Least-to-Most Prompting Enables Complex Reasoning in Large Language Models., , , , , , , , , and . CoRR, (2022)Compositional Semantic Parsing with Large Language Models., , , , , , , and . ICLR, OpenReview.net, (2023)