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Alison Gopnik AI Papers |
To obtain a copy, click colored title
Large Models Are cultural and social technologies
H. Farrell, A. Gopnik, C. Shalizi, & J. Evans (co first authors) (2025). Large AI Models are cultural and social technologies. Science, Policy Forum, 14 Mar 2025, Vol 387, Issue 6739, 1153-1156.
E, Yiu, M. Qraitem, A. N. Mahji, C. Wong, Y. Bai, S. Ginosar, A. Gopnik, & K. Saenko (2025). KiVA: Kid-inspired visual analogies for testing large multimodal models. Presented at ICLR 2025, Singapore.
Exploration by exploitation: Curriculum learning for reinforcement learning agents
T. E. Lee, N. R. Ke, S. Patil, A. Dahmani, E. Yiu, E. Saleh, A. Gopnik, O. Kroemer, & Glen Berseth (2025). Exploration by Exploitation: Curriculum Learning for Reinforcement Learning Agents through Competence-Based Curriculum Policy Search. First Exploration in AI Today Workshop at ICML (EXAIT at ICML 2025).
What children can do that LLMs cannot (yet)
E. Yiu, E. Kosoy, & A. Gopnik (2023). Transmission Versus Truth, Imitation Versus Innovation: What Children Can Do That Large Language and Language-and-Vision Models Cannot (Yet). Perspectives on Psychological Science, Oct, 10.1177/17456916231201401, 2023). https://doi.org/10.1177/17456916231201401.
Empowerment and Causal Learning
A. Dahmani, A. Lidayan, & A. Gopnik (2024). Tiny Paper on Empowerment and Causal Learning. IMOL Workshop at Neurips 2024.
What Can AI Learn from Human Exploration?
Y. Du, E. Kosoy, A. L. Dayan, M. R, P. Abbeel, & A. Gopnik (2023). What can AI Learn from Human Exploration? Intrinsically-Motivated Humans and Agents in Open-World Exploration. IMOL Workshop at Neurips 2023.
Children Prioritize Purely Exploratory Actions
E. Yiu, K. Sandbrink, E. Liu, & A. Gopnik (2023). Children prioritize purely exploratory actions in observe or bet tasks. IMOL Workshop at Neurips 2023.
Learning Causal Overhypotheses through Exploration in Children and Computational Models
E. Kosoy, A. Liu, J. L. Collins, D. Chan, J. Hamrick, N. Ke, S. Huang, B. Kaufmann, J. Canny, & A. Gopnik (2022). Learning Causal Overhypotheses through Exploration in Children and Computational Models. In Conference on Causal Learning and Reasoning (pp. 390-406). Proceedings of Machine Learning Research.
Leveraging Causal Graphical Models For Robotics
K. Stocking, A. Gopnik, & C. Tomalin (2022). From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics. In Conference on Robot Learning (pp. 1776-1781). Proceedings of Machine Learning Research.