Lionel Wong

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 15

Top Topics

Dempster Shafer

Contextual Constraints

Learning Process

Top Venues

Proc. ACM Program. Lang.

Publications

Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum
Grounding Language about Belief in a Bayesian Theory-of-Mind. CoRR (2024)
Guangyuan Jiang, Matthias Hofer, Jiayuan Mao, Lionel Wong, Joshua B. Tenenbaum, Roger P. Levy
Finding structure in logographic writing with library learning. CoRR (2024)
Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas
LILO: Learning Interpretable Libraries by Compressing and Documenting Code. ICLR (2024)
Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas
Learning Grounded Action Abstractions from Language. ICLR (2024)
Cedegao E. Zhang, Katherine M. Collins, Lionel Wong, Adrian Weller, Joshua B. Tenenbaum
People use fast, goal-directed simulation to reason about novel games. CoRR (2024)
Matthew Bowers, Theo X. Olausson, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama
Top-Down Synthesis for Library Learning. Proc. ACM Program. Lang. 7 (POPL) (2023)
Katherine M. Collins, Albert Q. Jiang, Simon Frieder, Lionel Wong, Miri Zilka, Umang Bhatt, Thomas Lukasiewicz, Yuhuai Wu, Joshua B. Tenenbaum, William Hart, Timothy Gowers, Wenda Li, Adrian Weller, Mateja Jamnik
Evaluating Language Models for Mathematics through Interactions. CoRR (2023)
Lance Ying, Katherine M. Collins, Megan Wei, Cedegao E. Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B. Tenenbaum, Lionel Wong
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs. CoRR (2023)
Marcelo Gomes Mattar, Judith E. Fan, Wai Keen Vong, Lionel Wong
How does the mind discover useful abstractions? CogSci (2023)
Benjamin Lipkin, Lionel Wong, Gabriel Grand, Josh Tenenbaum
Evaluating statistical language models as pragmatic reasoners. CogSci (2023)
Benjamin Lipkin, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum
Evaluating statistical language models as pragmatic reasoners. CoRR (2023)
Lionel Wong, Gabriel Grand, Alexander K. Lew, Noah D. Goodman, Vikash K. Mansinghka, Jacob Andreas, Joshua B. Tenenbaum
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought. CoRR (2023)
Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas
LILO: Learning Interpretable Libraries by Compressing and Documenting Code. CoRR (2023)
Cedegao Zhang, Lionel Wong, Gabriel Grand, Josh Tenenbaum
Grounded physical language understanding with probabilistic programs and simulated worlds. CogSci (2023)
Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas
Learning adaptive planning representations with natural language guidance. CoRR (2023)