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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 Sumers, T.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)
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 Mancoridis, M. , Sumers, T. , & Griffiths, T. (2024). Publish or perish: Simulating the impact of publication policies on science. 46th Annual Meeting of the Cognitive Science Society. (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)
DMRL SML Peng, A. , Sucholutsky, I. , Li, B. Z. , Sumers, T. R. , Griffiths, T. L. , Andreas, J. , & Shah, J. A. (2024). Learning with language-guided state abstractions. Proceedings of the 12th International Conference on Learning Representations (ICLR). (pdf)
DMRL SML Peng, A. , Bobu, A. , Li, B. Z. , Sumers, T. R. , Sucholutsky, I. , Kumar, N. , & Griffiths, T. L. (2024). Preference-conditioned language-guided abstraction. Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. (pdf)
DMRL SML De Sabbata, C. N. , Sumers, T. R. , & Griffiths, T. L. (2024). Rational metareasoning for large language models. (preprint)
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)
S&C Marjieh, R. , Van Rijn, P. , Sucholutsky, I. , Sumers, T. , Lee, H. , Griffiths, T. L. , & Jacoby, N. (2023) Words are all you need? Language as an approximation for human similarity judgments. Proceedings of the 11th International Conference on Learning Representations (ICLR). (preprint)
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)
F SML Sumers, T. R. , Yao, S. , Narasimhan, K. , & Griffiths, T. L. (2023). Cognitive architectures for language agents. Transactions on Machine Learning Research 2024 (preprint)
S&C SML Marjieh, R. , Sucholutsky, I. , Sumers, T. R. , Jacoby, N. , & Griffiths, T. L. (2022). Predicting Human Similarity Judgments Using Large Language Models. Proceedings of the 44th Annual Conference of the Cognitive Science Society. (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)
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)
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)
DMRL P Sumers, T. R. , Ho, M. K. , & Griffiths, T. L. (2020). Show or tell? Demonstration is more robust to changes in shared perception than explanation. Proceedings of the 42nd Annual Conference of the Cognitive Science Society . (pdf)