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SML 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. (2026). Levels of analysis for large language models. Philosophical Transactions of the Royal Society A , 384 (2320). (pdf)
S&C Marjieh, R. , Kumar, S. , Campbell, D. , Zhang, L. , Snell, J. , Griffiths, T. L. (2026). Generative similarity, generalization, and abstraction. (preprint)
PR SML Zhang, L. , Jagadish, A. K. , Lake, B. M. , & Griffiths, T. L. (2026). Using probabilistic programs to train inductive reasoning in large language models. (preprint)
SML Zhang, L. , Snell, J. C. , & Griffiths, T. L. (2025). Amoritzed bayesian meta-learning for low-rank adaptation of large language models. Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (pdf)
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)