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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
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F SML McCoy, R. T. , Yao, S. , Friedman, D. , Hardy, M. D. , & Griffiths, T. L. (2024). Embers of autoregression show how large language models are shaped by the problem they are trained to solve. Proceedings of the National Academy of Sciences, 121 (41), e2322420121. (pdf)
F SML McCoy, R. T. , Yao, S. , Friedman, D. , Hardy, M. D. , & Griffiths, T. L. (2024). When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1. (preprint)
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)
DMRL SML Yao, S. , Yu, D. , Zhao, J. , Shafran, I. , Griffiths, T. L. , Cao, Y. , & Narasimhan, K. (2023). Tree of thoughts: Deliberate problem solving with large language models. Advances in Neural Information Processing Systems 37. (pdf)