14 citations · 22 across the 3 of their papers we have counts for
4 papers
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks
Katherine M. Collins, Catherine Wong, Jiahai Feng +2
Human language offers a powerful window into our thoughts -- we tell stories, give explanations, and express our beliefs and goals through words. Abundant evidence also suggests th…
Identifying concept libraries from language about object structure
Catherine Wong, William P. McCarthy, Gabriel Grand +5
Our understanding of the visual world goes beyond naming objects, encompassing our ability to parse objects into meaningful parts, attributes, and relations. In this work, we lever…
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…
Communicating Natural Programs to Humans and Machines
Samuel Acquaviva, Yewen Pu, Marta Kryven +6
The Abstraction and Reasoning Corpus (ARC) is a set of procedural tasks that tests an agent's ability to flexibly solve novel problems. While most ARC tasks are easy for humans, th…