Papers

(* indicates equal contribution; 𝛼 indicates alphabetical author list)

On the same wavelength? Evaluating pragmatic reasoning in language models across broad concepts
L. Qiu*, C.E. Zhang*, J.B. Tenenbaum, Y. Kim, and R.P. Levy
EMNLP 2025

Language-informed synthesis of rational agent models for grounded Theory-of-Mind reasoning on-the-fly
L. Ying, R. Truong, K.M. Collins, C.E. Zhang, M. Wei, T. Brooke-Wilson, T. Zhi-Xuan, L. Wong, and J.B. Tenenbaum,
EMNLP 2025 Findings

Modeling open-world cognition as on-demand synthesis of probabilistic models
L. Wong*, K.M. Collins*, L. Ying, C.E. Zhang, A. Weller, T. Gersternberg, T. O'Donnell, A.K. Lew, J.D. Andreas, J.B. Tenenbaum, and T. Brooke-Wilson
CogSci 2025 (Talk)

Scaling up the think-aloud method
D. Wurgaft*, B. Prystawski*, K. Gandhi, C.E. Zhang, J.B. Tenenbaum, and N.D. Goodman
CogSci 2025 (Talk)

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, and T.L. Griffiths
Nature Human Behavior

Conditional and modal reasoning in large language models
W.H. Holliday, M. Mandelkern, and C.E. Zhang𝛼
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
CogSci 2024 (Talk)

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
C.E. Zhang*, T.X. Olausson*, A. Gu*, B. Lipkin*, 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 (Talk)

When do introspection axioms matter for multi-agent epistemic reasoning?
Y. Ding, W.H. Holliday, and C. Zhang𝛼
TARK 2019