Wong, Lionel

DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning

Ellis, K., Wong, L., Nye, M., Sablé-Meyer, M., Cary, L., Anaya Pozo, L., Hewitt, L., Solar-Lezama, A., & Tenenbaum, J. B. (2023) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 125

From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Wong, L., Grand, G., Lew, A. K., Goodman, N. D., Mansinghka, V. K., Andreas, J., & Tenenbaum, J. B. (2023) · arXiv

Logic, Reasoning, and KnowledgeNatural Language Processing Techniques

Cited by 36

Top-Down Synthesis for Library Learning

Bowers, M., Olausson, T. X., Wong, L., Grand, G., Tenenbaum, J. B., Ellis, K., & Solar-Lezama, A. (2023) · Proceedings of the ACM on Programming Languages

Logic, programming, and type systemsEvolutionary Algorithms and Applications

Cited by 33

Retrieval-augmented systems can be dangerous medical communicators

Wong, L., Ali, A., Xiong, R., Shen, S. Z., Kim, Y., & Agrawal, M. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationHealth Literacy and Information Accessibility

Cited by 5

LILO: Learning Interpretable Libraries by Compressing and Documenting Code

Grand, G., Wong, L., Bowers, M., Olausson, T. X., Liu, M., Tenenbaum, J. B., & Andreas, J. (2023) · arXiv

Software Engineering ResearchEvolutionary Algorithms and Applications

Cited by 2