When Do Introspection Axioms Matter for Multi-Agent Epistemic Reasoning? - Yifeng Ding; Wesley H. Holliday; Cedegao Zhang (TARK, 2019)

A Model of Temporal Connective Acquisition. - Mark Gorenstein; Cedegao Zhang; Steven T. Piantadosi (CogSci, 2020)

Does Amy Know Ben Knows You Know Your Cards? A Computational Model of Higher-Order Epistemic Reasoning. - Cedegao Zhang; Ham Huang; Wesley H. Holliday (CogSci, 2021)

Towards a model of confidence judgements in concept learning. - Tracey Mills; Cedegao Zhang; Tony Chen 003; Josh Tenenbaum 001 (CogSci, 2023)

Grounded physical language understanding with probabilistic programs and simulated worlds. - Cedegao Zhang; Lionel Wong; Gabriel Grand; Josh Tenenbaum 001 (CogSci, 2023)

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers. - Theo Olausson; Alex Gu; Benjamin Lipkin; Cedegao E. Zhang; Armando Solar-Lezama; Joshua B. Tenenbaum; Roger Levy (EMNLP, 2023)

The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs. - Lance Ying; Katherine M. Collins; Megan Wei; Cedegao E. Zhang; Tan Zhi-Xuan; Adrian Weller; Joshua B. Tenenbaum; Lionel Wong (CoRR, 2023)

AI for Mathematics: A Cognitive Science Perspective. - Cedegao E. Zhang; Katherine M. Collins; Adrian Weller; Joshua B. Tenenbaum (CoRR, 2023)

Conditional and Modal Reasoning in Large Language Models. - Wesley H. Holliday; Matthew Mandelkern; Cedegao Zhang (EMNLP, 2024)

People use fast, goal-directed simulation to reason about novel games. - Cedegao E. Zhang; Katherine M. Collins; Lionel Wong; Adrian Weller; Joshua B. Tenenbaum (CoRR, 2024)

Building Machines that Learn and Think with People. - Katherine M. Collins; Ilia Sucholutsky; Umang Bhatt; Kartik Chandra; Lionel Wong; Mina Lee 002; Cedegao E. Zhang; Tan Zhi-Xuan; Mark K. Ho; Vikash Mansinghka 001; Adrian Weller; Joshua B. Tenenbaum; et al. (CoRR, 2024)

Scaling up the think-aloud method. - Daniel Wurgaft; Ben Prystawski; Kanishk Gandhi; Cedegao E. Zhang; Joshua B. Tenenbaum; Noah D. Goodman (CoRR, 2025)

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly. - Lance Ying; Ryan Truong; Katherine M. Collins; Cedegao E. Zhang; Megan Wei; Tyler Brooke-Wilson; Tan Zhi-Xuan; Lionel Wong; Joshua B. Tenenbaum (CoRR, 2025)

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models. - Lionel Wong; Katherine M. Collins; Lance Ying; Cedegao E. Zhang; Adrian Weller; Tobias Gerstenberg; Timothy O'Donnell; Alexander K. Lew; Jacob Andreas; Joshua B. Tenenbaum; Tyler Brooke-Wilson (CoRR, 2025)