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SML Collins, K. M. , Zhang, C. E. , Todd, G. , Ying, L. , Barba da Costa, M. , Liu, R. , Sharma, P. , Weller, A. , Kuperwajs, I. , Wong, L. , Tenenbaum, J. B. , & Griffiths, T. L. (2026). Evaluating Language Models' Evaluations of Games. Proceedings of the 14th International Conference on Learning Representations (ICLR). (pdf)
Ku, A. , Campbell, D. , Bai, X. , Geng, J. , Liu, R. , Marjieh, R. , McCoy, R. T. , Nam, A. , Sucholutsky, I. , Veselovsky, V. , Zhang, L. , Zhu, J. Q. , & Griffiths, T. L. (2026). Levels of analysis for large language models. Philosophical Transactions of the Royal Society A , 384 (2320). (pdf)
SML Liang, K. , Hu, H. , Liu, R. , Griffiths, T. L. , & Fisac, J. F. (2026). RLHS: Mitigating misalignment in RLHF with hindsight simulation. Findings of the Association for Computational Linguistics: ACL 2026 , 11457-11483. (pdf)
F SML Liu, R. , Arumugam, D. , Zhang, C. E. , Escola, S. , Pitkow, X. , & Griffiths, T. L. (2026). Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents. (preprint)
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. Second Conference on Language Modeling . (preprint)
SML Geng, J. , Chen, H. , Liu, R. , Ribeiro, M. H. , Willer, R. , Neubig, G. , & Griffiths, T. L. (2025). Accumulating Context Changes the Beliefs of Language Models. (preprint)
SC SML Liu, R. , Geng, J. , Peterson, J. C. , Sucholutsky, I. , & Griffiths, T. L. (2025). Large language models assume people are more rational than we really are. Proceedings of the 13th International Conference on Learning Representations (ICLR). (pdf)
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)
F Ying, L. , Collins, K. M. , Wong, L. , Sucholutsky, I. , Liu, R. , Weller, A. , Shu, T. , Griffiths, T. L. , & Tenenbaum, J. B. (2025). On benchmarking human-like intelligence in machines. (preprint)
SC 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)
SC SML Liu, R. , Yen, H. , Marjieh, R. , Griffiths, T. L. , & Krishna, R. (2023). Improving interpersonal communication by simulating audiences with language models. 45th Annual Meeting of the Cognitive Science Society. (pdf)