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By Campbell, D.F P Budny, N. , Ghods, K. , Campbell, D. , Marjieh, R. , Joshi, A. , Kumar, S. , Cohen, J. D. , Webb, T. W. , & Griffiths, T. L. (2026). Visual serial processing deficits explain divergences in human and VLM reasoning. (preprint)
F P Gupta, M. , Campbell, D. I. , & Griffiths, T. L. (2026). Meta-Learning Captures Human-Like Geometric Sensitivity. Proceedings of the Annual Meeting of the Cognitive Science Society , 48(1), 1-10. (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)
S&C Marjieh, R. , Kumar, S. , Campbell, D. , Zhang, L. , Snell, J. , Griffiths, T. L. (2026). Generative Similarity, Generalization, and Abstraction. (preprint)
F Nam, A. J. , Campbell, D. I. , Griffiths, T. L. , Cohen, J. D. , & Leslie, S. J. (2026). Understanding Task Representations in Neural Networks via Bayesian Ablation. Proceedings of the Fifth Conference on Causal Learning and Reasoning, in Proceedings of Machine Learning Research 323:196-221. (pdf)
IB P Campbell, D. , Kumar, S. , Giallanza, T. , Griffiths, T. L. , & Cohen, J. D. (2024). Human-like geometric abstraction in large pre-trained neural networks. 46th Annual Meeting of the Cognitive Science Society. (pdf)
F P Campbell, D. , Rane, S. , Giallanza, T. , De Sabbata, N. , Ghods, K. , Joshi, A. , Ku, A. , Frankland, S. M. , Griffiths, T. L. , & Cohen, J. D. , & Webb, T. W. (2024). Understanding the limits of vision language models through the lens of the binding problem. Advances in Neural Information Processing Systems 38. (pdf)
IB SML Kumar, S. , Marjieh, R. , Zhang, B. , Campbell, D. , Hu, M. Y. , Bhatt, U. , Lake, B. M. , & Griffiths, T. L. (2024). Comparing abstraction in humans and large language models using multimodal serial reproduction. 46th Annual Meeting of the Cognitive Science Society. (pdf)
IB P Marjieh, R. , Kumar, S. , Campbell, D. , Zhang, L. , Bencomo, G. , Snell, J. , & Griffiths, T. L. (2024). Using contrastive learning with generative similarity to learn spaces that capture human inductive biases. (preprint)
IB P Campbell, D. , Kumar, S. , Giallanza, T. , Cohen, J. D. , & Griffiths, T. L. (2023). Relational constraints on neural networks reproduce human biases towards abstract geometric regularity. (preprint)