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

14 citations · 22 across the 3 of their papers we have counts for

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cs.LG2021★ 2 cited

Leveraging Language to Learn Program Abstractions and Search Heuristics

Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum +1

Inductive program synthesis, or inferring programs from examples of desired behavior, offers a general paradigm for building interpretable, robust, and generalizable machine learni…