Publications

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F Foundations
P Perception
E Education
CI Causal Induction
CD Cognitive Development
PR Probabilistic Reasoning
RPM Rational Process Models
S&C Similarity and Categorization
SML Statistical Models of Language
NBM Nonparametric Bayesian Models
CEIL Cultural Evolution and Iterated Learning
DMRL Decision Making and Reinforcement Learning

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By Hawkins, R.
SML
Barnett, S. A., Griffiths, T. L., Hawkins, R. D. (preprint). A pragmatic account of the weak evidence effect. (link)
SML
DMRL
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. (preprint). Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. (link)
SML
Kumar, S., Sumers, T. R., Yamakoshi, T., Goldstein, A., Hasson, U., Norman, K. A., Griffiths, T. L., Hawkins, R. D., Nastase, S. A. (preprint). Reconstructing the cascade of language processing in the brain using the internal computations of a transformer-based language model. (link)
SML
Sumers, T., Ho, M., Hawkins, R. D., Griffiths, T. L. (preprint). Show or tell? Teaching with language outperforms demonstration but only when context is shared. (link)
SML
Hawkins, R. D., Franke, M., Frank, M. C., Goldberg, A. E., Smith, K., Griffiths, T. L., & Goodman, N. D. (2022). From partners to populations: A hierarchical Bayesian account of coordination and convention. Psychological Review. (pdf)
SML
DMRL
Kumar, S., Dasgupta, I., Hu, M., Marjieh, R., Hawkins, R. D., Daw, N., Cohen, J., Narasimhan, K. R., & Griffiths, T. L. (2022). Using Natural Language to Guide Meta-Learning Agents towards Human-like Inductive Biases. BACL 1st Workshop on Learning with Natural Language Supervision. (pdf)
P
SML
Murthy, S. K., Hawkins, R. D., & Griffiths, T. L. (2022). Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task. (pdf)
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)
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)
SML
DMRL
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)
SML
DMRL
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)
SML
CEIL
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)
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)

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