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Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks.

, , , , and . CoRR, (2022)

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LARC: Language annotated Abstraction and Reasoning Corpus., , , , , and . CogSci, cognitivesciencesociety.org, (2021)Identifying concept libraries from language about object structure., , , , , , , and . CogSci, cognitivesciencesociety.org, (2022)Core knowledge objects in reasoning and language use for highly abstract inductive tasks., , , , , and . CogSci, cognitivesciencesociety.org, (2021)Communicating Natural Programs to Humans and Machines., , , , , , , , and . NeurIPS, (2022)Transfer Automatic Machine Learning, , , and . (2018)cite arxiv:1803.02780.Challenges for Digital Literacy in English Curriculum., and . Teach4DH@GSCL, volume 1918 of CEUR Workshop Proceedings, page 32-36. CEUR-WS.org, (2017)Leveraging Language to Learn Program Abstractions and Search Heuristics., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 11193-11204. PMLR, (2021)Modeling Expertise with Neurally-Guided Bayesian Program Induction., , , and . CogSci, page 3114. cognitivesciencesociety.org, (2019)Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks., , , , and . CoRR, (2022)Transfer Learning with Neural AutoML., , , and . NeurIPS, page 8366-8375. (2018)