Papers
(* indicates equal contribution)
Building machines that learn and think with people
K.M. Collins*, I. Sucholutsky*, U. Bhatt*, K. Chandra*, L. Wong*, M. Lee, C.E., Zhang, T. Zhi-Xuan, M. Ho, V. Mansinghka, A. Weller, J.B. Tenenbaum, T.L. Griffiths
Nature Human Behavior
Conditional and modal reasoning in large language models
W.H. Holliday, M. Mandelkern, and C.E. Zhang
EMNLP 2024
People use fast, goal-directed simulations to reason about novel games
C.E. Zhang*, K.M. Collins*, L. Wong*, A. Weller, and J.B. Tenenbaum
arXiv (Presented at CogSci 2024)
AI for mathematics: A cognitive science perspective
C.E. Zhang*, K.M. Collins*, A. Weller, and J.B. Tenenbaum
MATH-AI Workshop at NeurIPS 2023
LINC: A neurosymbolic approach for logical reasoning by combining language models with first-order logic provers
T.X. Olausson*, A. Gu*, B. Lipkin*, C.E. Zhang*, A. Solar-Lezama, J.B. Tenenbaum, and R. Levy
EMNLP 2023 (Outstanding paper award)
The neuro-symbolic inverse planning engine (NIPE): modeling probabilistic social inferences from linguistic inputs
L. Ying, K.M. Collins, M. Wei, C.E. Zhang, T. Zhi-Xuan, A. Weller, J.B. Tenenbaum, and L. Wong
ToM Workshop at ICML 2023
Towards a model of confidence judgements in concept learning
T.E. Mills*, T. Chen*, C.E. Zhang*, and J.B. Tenenbaum
CogSci 2023
Grounded physical language understanding with probabilistic programs and simulated worlds
C.E. Zhang, L. Wong, G. Grand, and J.B. Tenenbaum
CogSci 2023
Does Amy know Ben knows you know your cards? A computational model of higher-order epistemic reasoning
C. Zhang*, H. Ham*, and W.H. Holliday
CogSci 2021
A model of temporal connective acquisition
M. Gorenstein*, C. Zhang*, and S.T. Piantadosi
CogSci 2020
When do introspection axioms matter for multi-agent epistemic reasoning?
Y. Ding, W.H. Holliday, and C. Zhang
TARK 2019