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Learning as Programming: Modeling Efficient Search in Human Concept Learning., , and . CogSci, cognitivesciencesociety.org, (2022)Latent Predicate Networks: Concept Learning with Probabilistic Context-Sensitive Grammars., , and . AAAI Spring Symposia, AAAI Press, (2015)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.Representing and Learning a Large System of Number Concepts with Latent Predicate Networks., , and . CogSci, cognitivesciencesociety.org, (2015)Relation Alignment for Textual Entailment Recognition., , , , , , , , , and 3 other author(s). TAC, NIST, (2009)Learning a novel rule-based conceptual system., , and . CogSci, page 3348. cognitivesciencesociety.org, (2019)Learning list concepts through program induction., , , and . CogSci, cognitivesciencesociety.org, (2018)Leveraging Prior Concept Learning Improves Generalization From Few Examples in Computational Models of Human Object Recognition., and . Frontiers Comput. Neurosci., (2020)