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ORCIDEliza Kosoy
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2020 – today
- 2024
[i6]Eliza Kosoy, Soojin Jeong, Anoop K. Sinha, Alison Gopnik, Tanya Kraljic:
Children's Mental Models of Generative Visual and Text Based AI Models. CoRR abs/2405.13081 (2024)- 2023
- [c10]Eliza Kosoy, David M. Chan, Adrian Liu, Jasmine Collins, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Emily Rose Reagan, John F. Canny, Alison Gopnik:
Towards Understanding How Machines Can Learn Causal Overhypotheses. CogSci 2023 - [i5]Eunice Yiu, Eliza Kosoy, Alison Gopnik:
Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)? CoRR abs/2305.07666 (2023) - [i4]Eliza Kosoy, Emily Rose Reagan, Leslie Lai, Alison Gopnik, Danielle Krettek Cobb:
Comparing Machines and Children: Using Developmental Psychology Experiments to Assess the Strengths and Weaknesses of LaMDA Responses. CoRR abs/2305.11243 (2023) - 2022
- [c9]Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CLeaR 2022: 390-406 - [c8]Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Bryanna Kaufmann, Alison Gopnik:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CogSci 2022 - [i3]Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CoRR abs/2202.10430 (2022) - [i2]Eliza Kosoy, David M. Chan, Adrian Liu, Jasmine Collins, Bryanna Kaufmann, Sandy Han Huang, Jessica B. Hamrick, John F. Canny, Nan Rosemary Ke, Alison Gopnik:
Towards Understanding How Machines Can Learn Causal Overhypotheses. CoRR abs/2206.08353 (2022) - 2021
- [c7]Eliza Kosoy, Masha Belyi, Charlie Snell, Brenden M. Lake, Josh Tenenbaum, Alison Gopnik:
The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification? CogSci 2021 - 2020
- [c6]Kevin Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Josh Tenenbaum, Tomer D. Ullman:
The Origins of Common Sense in Humans and Machines. CogSci 2020 - [c5]Yuval Hart, Eliza Kosoy, Emily Liquin, Julia A. Leonard, Allyson Mackey, Alison Gopnik:
The Development of Creative Search Strategies. CogSci 2020 - [c4]Eliza Kosoy, Jasmine Collins, David M. Chan, Deepak Pathak, Pulkit Agrawal, Alison Gopnik:
Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments. CogSci 2020 - [i1]Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny:
Exploring Exploration: Comparing Children with RL Agents in Unified Environments. CoRR abs/2005.02880 (2020)
2010 – 2019
- 2019
- [c3]Tomer D. Ullman, Eliza Kosoy, Ilker Yildirim, Amir Arsalan Soltani, Max H. Siegel, Josh Tenenbaum, Elizabeth S. Spelke:
Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects. CogSci 2019: 3008-3014 - [c2]Eliza Kosoy, Deepak Pathak, Pulkit Agrawal, Alison Gopnik:
Curiouser and Curiouser: Children's intrinsic exploration of mazes and its effects on reaching a goal. CogSci 2019: 3496 - 2017
- [c1]Eliza Kosoy, Brenden M. Lake, Josh Tenenbaum:
One-shot Learning and Classification in Children. CogSci 2017
Coauthor Index
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