Thomas Griffiths

First name

Thomas

Last name

Griffiths

Liu, Ryan, Jiayi Geng, Addison Wu, Ilia Sucholutsky, Tania Lombrozo, and Thomas Griffiths. 2025. “Mind Your Step (by Step): Chain-of-Thought Can Reduce Performance on Tasks Where Thinking Makes Humans Worse.”. Proceedings of the 42nd International Conference on Machine Learning. https://arxiv.org/pdf/2410.21333: Mind your step (by step): Chain-of-thought can reduce performance on tasks where thinking makes humans worse.

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Oktar, Kerem, Tania Lombrozo, and Thomas Griffiths. 2024. “Learning From Aggregated Opinion”. Psychological Science 35 (9): 1010–1024.

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Oktar, Kerem, Ilia Sucholutsky, Tania Lombrozo, and Thomas Griffiths. 2024. “Dimensions of Disagreement: Divergence and Misalignment in Cognitive Science and Artificial Intelligence”. Decision 11 (4): 511-12. https://doi.org/10.1037/dec0000244: Dimensions of Disagreement: Divergence and Misalignment in Cognitive Science and Artificial Intelligence.

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Dubey, Rachit, Thomas Griffiths, and Tania Lombrozo. 2022. “If It’s Important, Then I’m Curious: Increasing Perceived Usefulness Stimulates Curiosity”. Cognition 226: 105193. https://doi.org/10.1016/j.cognition.2022.105193: If it’s important, then I’m curious: Increasing perceived usefulness stimulates curiosity.

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Dubey, Rachit, Thomas Griffiths, and Tania Lombrozo. 2019. “If It’s Important, Then I Am Curious: A Value Intervention to Induce Curiosity”. Proceedings of the 41st Annual Conference of the Cognitive Science Society. Montreal, QC: Cognitive Science Society.

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Ruggeri, Azzurra, Tania Lombrozo, Thomas Griffiths, and Fei Xu. 2016. “Sources of Developmental Change in the Efficiency of Information Search”. Developmental Psychology 52 (12): 2159-73. http://dx.doi.org/10.1037/dev0000240: Sources of developmental change in the efficiency of information search.

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Ruggeri, Azzurra, Tania Lombrozo, Thomas Griffiths, and Fei Xu. 2015. “Children Search for Information As Efficiently As Adults, But Seek Additional Confirmatory Evidence”. Proceedings of the 37th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

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Pacer, M, Joseph Jay Williams, Chen Xi, Tania Lombrozo, and Thomas Griffiths. 2013. “Evaluating Computational Models of Explanation Using Human Judgments”. Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence. https://doi.org/10.48550/arXiv.1309.6855: Evaluating computational models of explanation using human judgments.

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