Elga, A., Zhu, J. Q., & Griffiths, T. L. (2025). People Make Suboptimal Decisions about Existential Risks. Cognition.
Zhang, L., Li, M. Y., McCoy, R. T., Sumers, T., Zhu, J. Q., & Griffiths, T. L. (2025). What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions. Transactions on Machine Learning Research. Featured Certification
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.
Zhu, J. Q., & Griffiths, T. L. (2025). Computation-Limited Bayesian Updating: A Resource-Rational Analysis of Approximate Bayesian Inference. Psychological Review.
Zhu, J. Q. & Griffiths, T. L. (2025). Eliciting the Priors of Large Language Models using Iterated In-Context Learning. Proceedings of the 47th Annual Conference of the Cognitive Science Society.
Sanborn, A. N., Zhu, J. Q., Spicer, J., Leon-Villagra, P., Castillo, L., Falben, J. K., Li, Y- X, Tee, A., & Chater, N. (2025). Noise in Cognition: Bug or Feature? Perspectives on Psychological Science.
Zhu, J. Q., Yan, H., & Griffiths, T. L. (2025). Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice. Proceedings of the 13th International Conference on Learning Representations.
Griffiths, T. L., Zhu, J. Q., Grant, E., & McCoy, R. T. (2024). Bayes in the Age of Intelligent Machines. Current Directions in Psychological Science.
Spicer, J., Zhu, J. Q., Chater, N., & Sanborn, A. N. (2024). How Do People Predict a Random Walk? Lessons for Models of Cognition. Psychological Review.
Zhu, J. Q., Spicer, J., Sanborn, A. N., & Chater, N. (2024). The Statistics of Cognitive Variability: Explaining Common Patterns in Individuals, Groups and Financial Markets. Cognition.
Zhu, J. Q., & Griffiths, T. L. (2024). Incoherent Probability Judgments in Large Language Models. Proceedings of the 46th Annual Conference of the Cognitive Science Society. Oral
Zhu, J. Q., Yan, H., & Griffiths, T. L. (2024). Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo. Proceedings of the 46th Annual Conference of the Cognitive Science Society. Oral
Li, Y-X., Falben, J., Castillo, L., Spicer, J., Zhu, J. Q., Chater, N., & Sanborn, A. N. (2024). Probability, but not utility, influences repeated mental simulations of risky events. Proceedings of the 46th Annual Conference of the Cognitive Science Society.
Zhu, J. Q., Chater, N., Leon-Villagra, P., Spicer, J., Sundh, J., & Sanborn, A. N. (2024). An Introduction to Psychologically Plausible Sampling Schemes for Approximating Bayesian Inference. In K. Fielder, P. Juslin, & J. Denrell (Eds.), Sampling in Judgment and Decision Making, Cambridge University Press, UK.
Sundh, J., Sanborn, A. N., Zhu, J. Q., Spicer, J., Leon-Villagra, P., & Chater, N. (2024). Approximating Bayesian Inference through Internal Sampling. In K. Fielder, P. Juslin, & J. Denrell (Eds.), Sampling in Judgment and Decision Making, Cambridge University Press, UK.
Zhu, J. Q., Sundh, J., Spicer, J., Chater, N., & Sanborn, A. N. (2023). The Autocorrelated Bayesian Sampler: A Rational Process for Probability Judgments, Estimates, Confidence Intervals, Choices, Confidence Judgments, and Response Times. Psychological Review.
Sundh, J., Zhu, J. Q., Chater, N., & Sanborn A. N. (2023). A Unified Explanation of Variability and Bias in Human Probability Judgments: How Computational Noise Explains the Mean-Variance Signature. Journal of Experimental Psychology: General.
Xia. F., Zhu, J. Q., & Griffiths, T. L. (2023). Comparing Human Predictions from Expert Advice to On-line Optimization Algorithms. Proceedings of the 45th Annual Conference of the Cognitive Science Society.
Zhu, J. Q., Sanborn, A. N., Chater, N., & Griffiths, T. L. (2023). Computation-Limited Bayesian Updating. Proceedings of the 45th Annual Conference of the Cognitive Science Society.
Newall, P. W. S. & Zhu, J. Q. (2023). Skilled Poker Players Provide More Accurate Responses than Amateur Poker Players to the Gambling Fallacies Measure. Journal of Gambling Issues.