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CI Causal Induction
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CEIL Cultural Evolution and Iterated Learning
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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 Geng, J. | 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)
| PR
SML
| Geng, J., Chen, H., Arumugam, D., & Griffiths, T. L. (2025). Are large language models reliable AI scientists? Assessing reverse-engineering of black-box systems. (preprint)
| SML
| Geng, J., Chen, H., Liu, R., Ribeiro, M. H., Willer, R., Neubig, G., & Griffiths, T. L. (2025). Accumulating context changes the beliefs of language models. (preprint)
| SC
SML
| Liu, R., Geng, J., Peterson, J. C., Sucholutsky, I., & Griffiths, T. L. (2025). Large language models assume people are more rational than we really are. Proceedings of the 13th International Conference on Learning Representations (ICLR).(pdf)
| PR
SML
| Liu, R., Geng, J., Wu, A. J., Sucholutsky, I., Lombrozo, T., & Griffiths, T. L. (2025). Mind your step (by step): Chain-of-thought can reduce performance on tasks where thinking makes humans worse. Proceedings of the 42nd International Conference on Machine Learning (ICML).(pdf)
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