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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 Lake, B.
S&C
SML
Lima Braga, D., Marjieh, R., Jagadish, A. K., Sucholutsky, I., Jacoby, N., Lake, B., & Griffiths, T. L. (2026). Automated discovery of psychological representations using language model agents. Proceedings of the Annual Meeting of the Cognitive Science Society, 48. (pdf)
S&C
SML
Rane, S., Lake, B. M., & Griffiths, T. L. (2026). Investigating concept alignment using implausible category members. (preprint)
SML
Zeng, P., Griffiths, T. L., & Lake, B. M. (2026). Nothing from something: Can a language model discover 0?. Proceedings of the 9th Conference on Cognitive Computational Neuroscience. (pdf)
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)
IB
SML
Kumar, S., Marjieh, R., Zhang, B., Campbell, D., Hu, M. Y., Bhatt, U., Lake, B. M., & Griffiths, T. L. (2024). Comparing abstraction in humans and large language models using multimodal serial reproduction. 46th Annual Meeting of the Cognitive Science Society. (pdf)

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