Publications
View By Topic:
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
(Click on an author's name to view all papers by that author.)
Filter publications
SML Cekinmez, J. , Wu, A. , & Griffiths, T. L. (2026). Query timing produces opposite positional biases between LLMs and humans. Empirical Methods in Natural Language Processing . (pdf)
DMRL SC SML Wu, A. J. , Liu, R. , Bai, X. , & Griffiths, T. L. (2025). Large language models develop novel social biases through adaptive exploration. Proceedings of the Fourty-third International Conference on Machine Learning (ICML) . (pdf)
SC SML Wu, A. J. , Liu, R. , Li, S. S. , Tsvetkov, Y. , & Griffiths, T. L. (2026). Ads in AI chatbots? An analysis of how large language models navigate conflicts of interest. Third Conference on Language Modeling . (preprint)
PR SML Liu, R. , Geng, J. , Wu, A. J. , Sucholutsky, I. , Lombrozo, T. , & Griffiths, T. L. (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 (ICML). (pdf)
PR SC SML Wu, A. J. , Liu, R. , Oktar, K. , Sumers, T. R. , & Griffiths, T. L. (2025). Are large language models sensitive to the motives behind communication? Advances in Neural Information Processing Systems 39. (pdf)