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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
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By Veselovsky, V. | 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)
| CEIL
SML
| Veselovsky, V., Argin, B., Stroebl, B., Wendler, C., West, R., Evans, J., Griffiths, T. L., & Narayanan, A. (2026). Localized cultural knowledge is conserved and controllable in large language models. Findings of the Association for Computational Linguistics, 43152–43178. (pdf)
| S&C
SML
| Marjieh, R., Veselovsky, V., Griffiths, T. L., & Sucholutsky, I. (2025). What is a number, that a large language model may know it? (preprint)
| DMRL
SML
| Veselovsky, V., Stroebl, B., Bencomo, G., Arumugam, D., Schut, L., Narayanan, A., & Griffiths, T. L. (2025). Hindsight Merging: Diverse Data Generation with Language Models. Proceedings of the 41st Conference on Uncertainty in Artificial Intelligence. (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)
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