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CI Causal Induction
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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 Collins, K. | 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)
| PR
| Collins, K. M., Zhang, C. E., Wong, L., Barba da Costa, M., Todd, G., Weller, A., Cheyette, S. J., Griffiths, T. L., & Tenenbaum, J. B. (2026). People use fast and flat simulation to reason about new games. Nature, 655(8123), 598-607. (pdf)
| SC
SML
| Hu, H., Marjieh, R., Collins, K. M., Li, C., Griffiths, T. L., Sucholutsky, I., & Jacoby, N. (2026). Why human guidance matters in collaborative vibe coding. (preprint)
| DMRL
SC
| Mankewitz, J., Collins, K. M., Tenenbaum, J., Griffiths, T. L., & Hawkins, R. D. (2026). Balancing competing goals when coordinating over rule construction. Proceedings of the Annual Meeting of the Cognitive Science Society, 48. (pdf)
| SML
| Mieczkowski, E., Collins, K. M., Sucholutsky, I., Velez, N., & Griffiths, T. L. (2026). Language model teams as distributed systems. (preprint)
| SML
| Mieczkowski, E., Ku, A., Eisape, T., Arumugam, D., Matters, J., Collins, K., Sucholutsky, I., & Griffiths, T.L. (2026). Improving the efficiency of language agent teams with adaptive task graphs. (preprint)
| SML
| Ying, L., Truong, R., Sharma, P., Zhao, K. I., Cloos, N., Allen, K. R., Griffiths, T. L., Collins, K. M., Hernandez-Orallo, J., Isola, P., Gershman, S. J., & Tenenbaum, J. B. (2026). AI GameStore: Scalable, open-ended evaluation of machine general intelligence with human games. (preprint)
| RPM
| Collins, K. M, Todd, G., Zhang, C. E, Weller, A., Togelius, J., Chu, J., Wong, L., Griffiths, T. L., & Tenenbaum, J. B. (2025). Generation and evaluation in the human invention process through the lens of game design. Proceedings of the Annual Meeting of the Cognitive Science Society, 47. (pdf)
| DMRL
RPM
| Collins, K. M., Zhang, C. E., Wong, L., da Costa, M. B., Todd, G., Weller, A., Cheyette, S. J., Griffiths, T. L., & Tenenbaum, J. B. (2025). People use fast, flat goal-directed simulation to reason about novel problems. (preprint)
| S&C
SC
| Sucholutsky, I., Collins, K. M., Malaviya, M., Jacoby, N., Liu, W., Sumers, T. R., Korakakis, M., Bhatt, U., Ho, M., Tenenbaum, J. B., Love, B., Pardos, Z. A., Weller, A., & Griffiths, T. L. (2025). Representational alignment supports effective teaching. ICLR 2025 Workshop on Bidirectional Human-AI Alignment (pdf)
| DMRL
RPM
| Wong, L., Mills, T., Kuperwajs, I., Collins, K. M., & Griffiths, T. L. (2025). Meta-reasoning: Deciding which game to play, which problem to solve, and when to quit. Proceedings of the 47th Annual Conference of the Cognitive Science Society (pdf)
| RPM
| Ying, L., Collins, K. M., Sharma, P., Colas, C., Zhao, K. I., Weller, A., Tavares, Z., Isola, P., Gershman, S. J., Andreas, J. D., Griffiths, T. L., Chollet, F., Allen, K. R., & Tenenbaum, J. B. (2025). Assessing adaptive world models in machines with novel games. (preprint)
| 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)
| F
SC
| Collins, K. M., Sucholutsky, I., Bhatt, U., Chandra, K., Wong, L., Lee, M., Zhang, C. E., Zhi-Xuan, T., Ho, M., Mansinghka, V., Weller, A., Tenenbaum, J. B., & Griffiths, T. L. (2024). Building machines that learn and think with people. Nature Human Behaviour, 8(10), 1851-1863. (pdf)
| S&C
| Sucholutsky, I., Battleday, R., Collins, K., Marjieh, R., Peterson, J. C., Singh, P., Bhatt, U., Jacoby, N., Weller, A., & Griffiths, T. L. (2023). On the informativeness of supervision signals. Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence. (pdf)
| F
| Sucholutsky, I., Muttenthaler, L., Weller, A., Peng, A., Bobu, A., Kim, B., Love, B. C., Grant, E., Achterberg, J., Tenenbaum, J. B., Collins, K. M., Hermann, K. L., Oktar, K., Greff, K., Hebart, M. N., Jacoby, N., Marjieh, R., Geirhos, R., Chen, S., Kornblith, S., Rane, S., Konkle, T., O'Connell, T. P., Unterthiner, T., Lampinen, A. K., Müller, K.-R., Toneva, M., & Griffiths, T. L. (2023). Getting aligned on representational alignment. (preprint)
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