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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 Ku, A. | 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)
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IB
| Ku, A., Griffiths, T. L., & Chan, S. (2025). Predictability shapes adaptation: An evolutionary perspective on modes of learning in transformers. (preprint)
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P
| Campbell, D., Rane, S., Giallanza, T., De Sabbata, N., Ghods, K., Joshi, A., Ku, A., Frankland, S. M., Griffiths, T. L., & Cohen, J. D., & Webb, T. W. (2024). Understanding the limits of vision language models through the lens of the binding problem. Advances in Neural Information Processing Systems 38. (pdf)
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| Rane, S., Ku, A., Baldridge, J., Tenney, I., Griffiths, T. L., & Kim, B. (2024). Can generative multimodal models count to ten? 46th Annual Meeting of the Cognitive Science Society. (pdf)
| PR
| Wang, Z., Ku, A., Baldridge, J., Griffiths, T. L., & Kim, B. (2023). Gaussian Process Probes (GPP) for uncertainty-aware probing. Advances in Neural Information Processing Systems 37. (pdf)
| S&C
| Peterson, J. C., Suchow, J. W., Aghi, K., Ku, A. Y., & Griffiths, T. L. (2018). Capturing human category representations by sampling in deep feature spaces. Proceedings of the 40th Annual Conference of the Cognitive Science Society. (pdf)
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