Catherine Wong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
3
Active years
2019–2022
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | CogSci | 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, Megan Wei, Josh Tenenbaum |
| 2022 | CogSci | Identifying concept libraries from language about object structure. | Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan |
| 2021 | CogSci | LARC: Language annotated Abstraction and Reasoning Corpus. | Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum |
| 2021 | CogSci | Core knowledge objects in reasoning and language use for highly abstract inductive tasks. | Gabrielle E. Ecanow, Catherine Wong, Samuel Acquaviva, Yewen Pu, Marta Kryven, Josh Tenenbaum |
| 2021 | CogSci | Language as a bootstrap for compositional visual reasoning. | Catherine Wong, Yoni Friedman, Jacob Andreas, Josh Tenenbaum |
| 2021 | ICML | Leveraging Language to Learn Program Abstractions and Search Heuristics. | Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas |
| 2021 | PLDI | DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. | Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sabl-Meyer, Lucas Morales, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum |
| 2019 | CogSci | Modeling Expertise with Neurally-Guided Bayesian Program Induction. | Catherine Wong, Kevin Ellis, Mathias Sabl-Meyer, Josh Tenenbaum |