Computational Cognitive Science Lab

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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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Social Cognition
SC SML	Liang, K., Hu, H., Liu, R., Griffiths, T. L., & Fisac, J. F. (2025). RLHS: Mitigating misalignment in RLHF with hindsight simulation. (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)
CEIL SC	Mieczkowski, E., Mon-Williams, R., Bramley, N., Lucas, C. G., Velez, N., & Griffiths, T. L. (2025). Predicting multi-agent specialization via task parallelizability. (preprint)
DMRL SC	Bai, X., Griffiths, T. L., & Fiske, S. T. (2024). Costly exploration produces stereotypes with dimensions of warmth and competence. Journal of Experimental Psychology: General. (pdf)
SC SML	Bai, X., Wang, A., Sucholutsky, I., & Griffiths, T. L. (2024). Measuring implicit bias in explicitly unbiased large language models. (preprint)
CEIL SC	Barretto, D., Marjieh, R., & Griffiths, T. L. (2024). Reaching consensus through theory of mind in social networks with locally distributed interactions. 46th Annual Meeting of the Cognitive Science Society. (pdf)
F SC	Collins, K. M., Sucholutsky, I., Bhatt, U., Chandra, K., Wong, L., Lee, M., Zhang, C. E., Zhi-Xuan, T., Ho, M., Mansinghka, V., Weller, A., Tenenbaum, J. B., & Griffiths, T. L. (2024). Building machines that learn and think with people. Nature Human Behaviour, 8(10), 1851-1863. (pdf)
SC SML	Guo, X., Huang, K., Liu, J., Fan, W., Vélez, N., Wu, Q., Wang, H., & Griffiths, T. L. (2024). Embodied LLM agents learn to cooperate in organized teams. (preprint)
DMRL SC	Kuperwajs, I., van Opheusden, B., Russek, E., & Griffiths, T. L. (2024). Learning from rewards and social information in naturalistic strategic behavior. (preprint)
SC SML	Liu, R., Sumers, T. R., Dasgupta, I., & Griffiths, T. L. (2024). How do large language models navigate conflicts between honesty and helpfulness? Proceedings of the 41st International Conference on Machine Learning (ICML). (pdf)
DMRL SC	Marjieh, R., Gokhale, A., Bullo, F. and Griffiths, T. L., (2024). Task allocation in teams as a multi-armed bandit. In Proceedings of Collective Intelligence 2024. (pdf)
DMRL SC	Mieczkowski, E., Turner, C. R., Vélez, N., & Griffiths, T. (2024). Many hands don't always make light work: Explaining social loafing via multiprocessing efficiency. 46th Annual Meeting of the Cognitive Science Society. (pdf)
DMRL SC	Mieczkowski, E., Turner, C. R., Vélez, N., & Griffiths, T. (2024). People evaluate idle collaborators based on their impact on task efficiency. (preprint)
DMRL SC	Oktar, K., Lombrozo, T., & Griffiths, T. L. (2024). Learning from aggregated opinion. Psychological Science, 35(9), 1010–1024. (pdf)
DMRL SC	Oktar, K., Sucholutsky, I., Lombrozo, T., & Griffiths, T. L. (2024). Dimensions of disagreement: Unpacking divergence and misalignment in cognitive science and artificial intelligence. Decision, 11(4), 511–522. (pdf)
PR SC	Oktar, K., Sumers, T., & Griffiths, T. L. (2024). A rational model of vigilance in motivated communication. 46th Annual Meeting of the Cognitive Science Society. (pdf)
S&C SC	Sucholutsky, I., Collins, K. M., Malaviya, M., Jacoby, N., Liu, W., Sumers, T. R., Korakakis, M., Bhatt, U., Ho, M., Tenenbaum, J. B., Love, B., Pardos, Z. A., Weller, A., & Griffiths, T. L. (2024). Representational alignment supports effective machine teaching. (preprint)
P SC	Urano, Y., Marjieh, R., Griffiths, T. L., & Jacoby, N. (2024). The influence of social information and presentation interface on aesthetic evaluations. 46th Annual Meeting of the Cognitive Science Society. (pdf)
CEIL SC	Hawkins, R. D., Franke, M., Frank, M. C., Goldberg, A. E., Smith, K., Griffiths, T. L., & Goodman, N. D. (2023). From partners to populations: A hierarchical Bayesian account of coordination and convention. Psychological Review, 130(4), 977–1016. (pdf)
SC SML	Liu, R., Yen, H., Marjieh, R., Griffiths, T. L., & Krishna, R. (2023). Improving interpersonal communication by simulating audiences with language models. 45th Annual Meeting of the Cognitive Science Society. (pdf)
DMRL SC	Bai, X., Fiske, S. T., & Griffiths, T. L. (2022). Globally inaccurate stereotypes can result from locally adaptive exploration. Psychological Science, 33(5) 671–684. (pdf)
P SC	Murthy, S. K., Hawkins, R. D., & Griffiths, T. L. (2022). Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task. Cognition, 225, 105152. (pdf)
CEIL SC	Thompson, B., van Opheusden, B., Sumers, T., & Griffiths, T. L. (2022). Complex cognitive algorithms preserved by selective social learning in experimental populations. Science, 376(6588), 95-98. (pdf)