Computational Cognitive Science Lab

Home | Research | People | Publications | Resources

By Zhu, J.
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)
DMRL	Zhu, J. Q., Peterson, J. C., Enke, B., & Griffiths, T. L. (2024) Capturing the complexity of human strategic decision-making with machine learning. (preprint)
PR 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)
SML DMRL	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)