Publications
View By Topic:
All Topics F Foundations P Perception E Education CI Causal Induction CD Cognitive Development PR Probabilistic Reasoning RPM Rational Process Models S&C Similarity and Categorization SML Statistical Models of Language NBM Nonparametric Bayesian Models CEIL Cultural Evolution and Iterated Learning DMRL Decision Making and Reinforcement Learning
(Click on an author's name to view all papers by that author.)
Filter publications
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)
SML Liu, R. , Geng, J. , Peterson, J. C. , Sucholutsky, I. , & Griffiths, T. L. (2024). How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? (preprint)
SML DMRL Liu, R. , Geng, J. , Peterson, J. C. , Sucholutsky, I. , & Griffiths, T. L. (2024). Large language models assume people are more rational than we really are. (preprint)
PR SML Liu, R. , Geng, J. , Wu, A. J. , Sucholutsky, I. , Lombrozo, T. , & Griffiths, T. L. (2024). Mind your step (by step): Chain-of-thought can reduce performance on tasks where thinking makes humans worse. (preprint)
SML Liu, R. , Yen, H. , Marjieh, R. , Griffiths, T. L. , & Krishna, R. (2023). Improving interpersonal communication by simulating audiences with language models. (preprint)