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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 Wilson, R.DMRL SML Zhu, J.Q. , Xie, H. , Arumugam, D. , Wilson, R. C. , & Griffiths, T. L. (2026). Using reinforcement learning to train large language models to explain human decisions. Proceedings of the 14th International Conference on Learning Representations (ICLR) . (pdf)
F SML Binz, M. , Akata, E. , Bethge, M. , Brändle, F. , Callaway, F. , Coda-Forno, J. , Dayan, P. , Demircan, C. , Eckstein, M. K. , Éltető, N. , Griffiths, T. L. , Haridi, S. , Jagadish, A. K. , Ji-An, L. , Kipnis, A. , Kumar, S. , Ludwig, T. , Mathony, M. , Mattar, M. , Modirshanechi, A. , Nath, S. S. , Peterson, J. C. , Rmus, M. , Russek, E. M. , Saanum, T. , Scharfenberg, N. , Schubert, J. A. , Schulze Buschoff, L. M. , Singhi, N. , Sui, X. , Thalmann, M. , Theis, F. , Truong, V. , Udandarao, V. , Voudouris, K. , Wilson, R. , Witte, K. , Wu, S. , Wulff, D. , Xiong, H. , & Schulz, E. (2025). A foundation model to predict and capture human cognition. Nature. (pdf)