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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

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By Marjieh, R.
CEIL
Barretto, D., Marjieh, R., & Griffiths, T. L. (2024). Reaching Consensus through Theory of Mind in Social Networks with Locally Distributed Interactions. 46th Annual Meeting of the Cognitive Science Society. (pdf)
P
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)
DMRL
Marjieh, R., Gokhale, A., Bullo, F. and Griffiths, T. L., (2024). Task Allocation in Teams as a Multi-Armed Bandit. In Proceedings of Collective Intelligence.(pdf)
P
S&C
Marjieh, R., Jacoby, N., Peterson, J. C., & Griffiths, T. L. (2024). The Universal Law of Generalization holds for naturalistic stimuli. Journal of Experimental Psychology: General, 153(3), 573–589. (pdf)
P
PR
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)
P
Marjieh, R., van Rijn, P., Sucholutsky, I., Lee, H., Griffiths, T. L., & Jacoby, N. (2024). A Rational Analysis of the Speech-to-Song Illusion. 46th Annual Meeting of the Cognitive Science Society. (pdf)
P
SML
Marjieh, R., van Rijn, P., Sucholutsky, I., Lee, H., Jacoby, N., & Griffiths, T. L. (2024). Characterizing the large-scale structure of grounded semantic networks. (preprint)
S&C
SML
Marjieh, R., Sucholutsky, I., van Rijn, P., Jacoby, N., & Griffiths, T. L. (2024). Large language models predict human sensory judgments across six modalities. Scientific Reports, 14(1), 21445.(pdf)
P
Niedermann, J. P., Sucholutsky, I., Marjieh, R., Çelen, E., Griffiths, T., Jacoby, N., & van Rijn, P. (2024) Studying the Effect of Globalization on Color Perception using Multilingual Online Recruitment and Large Language Models. 46th Annual Meeting of the Cognitive Science Society. (pdf)
SML
Tian, Y., Ravichander, A., Qin, L., Bras, R. L., Marjieh, R., Peng, N., Choi, Y., Griffiths, T. L., & Brahman, F. (2024). MacGyver: Are large language models creative problem solvers? NAACL 2024 (pdf)
P
Urano, Y., Marjieh, R., Griffiths, T. L., & Jacoby, N. (2024). The Influence of Social Information and Presentation Interface on Aesthetic Evaluations. 46th Annual Meeting of the Cognitive Science Society. (pdf)
SML
Liu, R., Yen, H., Marjieh, R., Griffiths, T. L., & Krishna, R. (2023). Improving interpersonal communication by simulating audiences with language models. (preprint)
P
S&C
Marjieh, R., Griffiths, T. L., & Jacoby, N. (2023). Musical pitch has multiple psychological geometries. (preprint)
S&C
Marjieh, R., Van Rijn, P., Sucholutsky, I., Sumers, T., Lee, H., Griffiths, T. L., & Jacoby, N. (2023) Words are all you need? Language as an approximation for human similarity judgments. Proceedings of the 11th International Conference on Learning Representations (ICLR). (preprint)
P
PR
Marjieh, R., Sucholutsky, I., Langlois, T. A., Jacoby, N., & Griffiths, T. L. (2023) Analyzing Diffusion as Serial Reproduction. Proceedings of the 40th International Conference on Machine Learning (ICML), 202 24005-24019. (preprint)
P
SML
Marjieh, R., Sucholutsky, I., van Rijn, P., Jacoby, N., & Griffiths, T. L. (2023). What language reveals about perception: Distilling psychophysical knowledge from large language models. 45th Annual Meeting of the Cognitive Science Society. (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)
DMRL
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)
SML
DMRL
Kumar, S., Correa, C. G., Dasgupta, I., Marjieh, R., Hu, M. Y., Hawkins, R.D., Daw, N. D., Cohen, J. D., Narasimhan, K. R., & Griffiths, T. L. (2022). Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. Advances in Neural Information Processing Systems, 36. (preprint)
S&C
SML
Marjieh, R., Sucholutsky, I., Sumers, T. R., Jacoby, N., & Griffiths, T. L. (2022). Predicting Human Similarity Judgments Using Large Language Models. Proceedings of the 44th Annual Conference of the Cognitive Science Society. (pdf)

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