Publications
View By Topic:
All Topics 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
(Click on an author's name to view all papers by that author.)
Filter publications
DMRL SC Mankewitz, J. , Collins, K. M. , Tenenbaum, J. , Griffiths, T. L. , & Hawkins, R. D. (2026). Balancing Competing Goals when Coordinating over Rule Construction. Proceedings of the Annual Meeting of the Cognitive Science Society , 48 . (pdf)
SML Yamakoshi, T. , Griffiths, T. L. , McCoy, R. T. , & Hawkins, R. D. (2025). Evaluating distillation methods for data-efficient syntax learning. Findings of the Association for Computational Linguistics: EMNLP 2025. (pdf)
SML Kumar, S. , Sumers, T. R. , Yamakoshi, T. , Goldstein, A. , Hasson, U. , Norman, K. A. , Griffiths, T. L. , Hawkins, R. D. , & Nastase, S. A. (2024). Shared functional specialization in transformer-based language models and the human brain. Nature Communications, 15(1) , 5523. (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)
DMRL SML Sumers, T. R. , Ho, M. K. , Griffiths, T. L. , & Hawkins, R. D. (2023). Reconciling truthfulness and relevance as epistemic and decision-theoretic utility. Psychological Review 131 (1), 194. (pdf)
E SML Sumers, T. R. , Ho, M. K. , Hawkins, R. D. , & Griffiths, T. L. (2023). Show or tell? Exploring when (and why) teaching with language outperforms demonstration. Cognition, 232, 105326. (pdf)
IB SML Kumar, S. , Correa, C. G. , Dasgupta, I. , Marjieh, R. , Hu, M. Y. , Hawkins, R.D. , Daw, N. D. , Cohen, J. D. , Narasimhan, K. R. , & Griffiths, T. L. (2022). Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. Advances in Neural Information Processing Systems 36. (preprint)
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)
DMRL E Sumers, T. R. , Hawkins, R. D. , Ho, M. K. , Griffiths, T. L. , & Hadfield-Menell, D. (2022). How to talk so AI will learn: Instructions, descriptions, and autonomy. Advances in Neural Information Processing Systems 36. (pdf)
IB SML Yamakoshi, T. , Griffiths, T.L. , Hawkins, R.D. (2022) Probing BERT's priors with serial reproduction chains. Findings of the Association for Computational Linguistics (ACL). (pdf)
PR SML Barnett, S. A. , Griffiths, T. L. , Hawkins, R. D. (2022). A pragmatic account of the weak evidence effect. Open Mind, 6 , 169-182. (pdf)
PR SC Hawkins, R. D. , Liu, I. , Goldberg, A. E. , Griffiths, T. L. (2021). Respect the code: Speakers expect novel conventions to generalize within but not across social group boundaries. Proceedings of the 43rd Annual Conference of the Cognitive Science Society. (pdf)
DMRL SML Sumers, T. R. , Hawkins, R. D. , Ho, M. K. , & Griffiths, T. L. (2021). Extending rational models of communication from beliefs to actions. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. (pdf)
DMRL SML Sumers, T. R. , Ho, M. K. , Hawkins, R. D. , Narasimhan, K. R. , & Griffiths, T. L. (2021). Learning rewards from linguistic feedback. Proceedings of the 35th AAAI Conference on Artificial Intelligence . (pdf)
IB SML Hawkins, R. D.* , Yamakoshi, T.* , Griffiths, T. L. , & Goldberg, A. E. (2020). Investigating representations of verb bias in neural language models. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . (pdf)
CEIL SML Hawkins, R. D. , Goodman, N. D. , Goldberg, A. E. , & Griffiths, T. L. (2020). Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks. Proceedings of the 42nd Annual Conference of the Cognitive Science Society . (pdf)