Publications
View By Topic:
All Topics CI Causal Induction CD Cognitive Development CEIL Cultural Evolution and Iterated Learning DMRL Decision Making and Reinforcement Learning E Education F Foundations IB Inductive Biases NBM Nonparametric Bayesian Models P Perception PR Probabilistic Reasoning RPM Rational Process Models S&C Similarity and Categorization SC Social Cognition SML Statistical Models of Language
(Click on an author's name to view all papers by that author.)
Filter publications
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)
IB SML Zhang, L. , Veselovsky, V. , McCoy, R. T. , & Griffiths, T. L. (2025). Identifying and mitigating the influence of the prior distribution in large language models. (preprint)
IB P Marjieh, R. , Kumar, S. , Campbell, D. , Zhang, L. , Bencomo, G. , Snell, J. , & Griffiths, T. L. (2024). Using contrastive learning with generative similarity to learn spaces that capture human inductive biases. (preprint)
IB S&C Zhang, L. , Nelson, L. , & Griffiths, T. L. (2024). Analyzing the benefits of prototypes for semi-supervised category learning. 46th Annual Meeting of the Cognitive Science Society. (pdf)
SML Zhang, L. , Li, M. Y. , & Griffiths, T. L. (2024) What should embeddings embed? Autoregressive models represent latent generating distributions. (preprint)