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DMRL Elga, A. , Zhu, J. Q. , & Griffiths, T. L. (2025). People make suboptimal decision about existential risks. Cognition, 265 , 106216. (pdf)
F Ku, A. , Campbell, D. , Bai, X. , Geng, J. , Liu, R. , Marjieh, R. , McCoy, R. T. , Nam, A. , Sucholutsky, I. , Veselovsky, V. , Zhang, L. , Zhu, J. Q. , & Griffiths, T. L. (2025). Using the tools of cognitive science to understand large language models at different levels of analysis. (preprint)
SML Xie, H. , Zhu, J. , Xiong, H. , Wilson, R. , & Griffiths, T. (2025). Reasoning Across Minds and Machines. Proceedings of the Annual Meeting of the Cognitive Science Society, 47. (pdf)
F PR Zhu, J. Q. , & Griffiths, T. L. (2025). Computation-limited Bayesian updating: A resource-rational analysis of approximate Bayeian inference. Psychological Review. (pdf)
DMRL Zhu, J. Q. , Peterson, J. C. , Enke, B. , & Griffiths, T. L. (2025). Capturing the complexity of human strategic decision-making with machine learning. Nature Human Behaviour. (pdf)
SML Zhu, J. Q. , Yan, H. , & Griffths, T. L. (2025). Steering risk preferences in large language models by aligning behavioral and neural representations. (preprint)
PR SML Zhu, J. Q. , Yan, H. , & Griffiths, T. L. (2025). Recovering event probabilities from large language model embeddings via axiomatic constraints. (preprint)
DMRL SML Zhu, J. Q. , Xie, H. , Arumugam, D. , Wilson, R. C. , & Griffiths, T. L. (2025). Using reinforcement learning to train large language models to explain human decisions. (preprint)
F PR Griffiths, T. L. , Zhu, J. Q. , Grant, E. , & McCoy, R. T. (2024). Bayes in the age of intelligent machines. Current Directions in Psychological Science, 33(5) , 283-291. (pdf)
PR SML Zhu, J. Q. , & Griffiths, T. L. (2024). Incoherent probability judgments in large language models. 46th Annual Meeting of the Cognitive Science Society. (pdf)
PR SML Zhu, J. Q. , & Griffiths, T. L. (2024). Eliciting the priors of large language models using iterated in-context learning. (preprint)
IB S&C Zhu, J. Q. , Yan, H. , & Griffiths, T. (2024). Recovering mental representations from large language models with Markov chain Monte Carlo. 46th Annual Meeting of the Cognitive Science Society. (pdf)
DMRL SML Zhu, J. Q. , Yan, H. , & Griffiths, T. L. (2024). Language models trained to do arithmetic predict human risky and intertemporal choice. (preprint)
DMRL Xia, F. , Zhu, J. , & Griffiths, T. (2023). Comparing human predictions from expert advice to on-line optimization algorithms. 45th Annual Meeting of the Cognitive Science Society. (pdf)
RPM Zhu, J. Q. , Sanborn, A. , Chater, N. , & Griffiths, T. (2023). Computation-limited Bayesian updating. 45th Annual Meeting of the Cognitive Science Society. (pdf)