One-shot Learning and Classification in Children. - Eliza Kosoy; Brenden M. Lake; Josh Tenenbaum 001 (CogSci, 2017)

Curiouser and Curiouser: Children's intrinsic exploration of mazes and its effects on reaching a goal. - Eliza Kosoy; Deepak Pathak; Pulkit Agrawal 001; Alison Gopnik (CogSci, 2019)

Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects. - Tomer D. Ullman; Eliza Kosoy; Ilker Yildirim; Amir Arsalan Soltani; Max H. Siegel; Josh Tenenbaum 001; Elizabeth S. Spelke (CogSci, 2019)

The Origins of Common Sense in Humans and Machines. - Kevin Smith 003; Eliza Kosoy; Alison Gopnik; Deepak Pathak; Alan Fern; Josh Tenenbaum 001; Tomer D. Ullman (CogSci, 2020)

The Development of Creative Search Strategies. - Yuval Hart; Eliza Kosoy; Emily Liquin; Julia A. Leonard; Allyson Mackey; Alison Gopnik (CogSci, 2020)

Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments. - Eliza Kosoy; Jasmine Collins; David M. Chan; Deepak Pathak; Pulkit Agrawal 001; Alison Gopnik (CogSci, 2020)

Exploring Exploration: Comparing Children with RL Agents in Unified Environments. - Eliza Kosoy; Jasmine Collins; David M. Chan; Jessica B. Hamrick; Sandy H. Huang; Alison Gopnik; John F. Canny (CoRR, 2020)

The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification? - Eliza Kosoy; Masha Belyi; Charlie Snell; Brenden M. Lake; Josh Tenenbaum 001; Alison Gopnik (CogSci, 2021)

Learning Causal Overhypotheses through Exploration in Children and Computational Models. - 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 (CLeaR, 2022)

Learning Causal Overhypotheses through Exploration in Children and Computational Models. - Eliza Kosoy; Adrian Liu; Jasmine Collins; David M. Chan; Jessica B. Hamrick; Sandy Han Huang; Nan Rosemary Ke; Bryanna Kaufmann; Alison Gopnik (CogSci, 2022)

Towards Understanding How Machines Can Learn Causal Overhypotheses. - 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 (CoRR, 2022)

Towards Understanding How Machines Can Learn Causal Overhypotheses. - 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 (CogSci, 2023)

Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)? - Eunice Yiu; Eliza Kosoy; Alison Gopnik (CoRR, 2023)

Comparing Machines and Children: Using Developmental Psychology Experiments to Assess the Strengths and Weaknesses of LaMDA Responses. - Eliza Kosoy; Emily Rose Reagan; Leslie Lai; Alison Gopnik; Danielle Krettek Cobb (CoRR, 2023)

Children's Mental Models of Generative Visual and Text Based AI Models. - Eliza Kosoy; Soojin Jeong; Anoop K. Sinha; Alison Gopnik; Tanya Kraljic (CoRR, 2024)

Adventures in AI Wonderland: How Children Are Shaping the Future of AI. - Eliza Kosoy; Emily Rose Reagan; Soojin Jeong (Interactions, 2024)

The in-context inductive biases of vision-language models differ across modalities. - Kelsey Allen; Ishita Dasgupta 001; Eliza Kosoy; Andrew K. Lampinen (CoRR, 2025)

Decoupling the components of geometric understanding in Vision Language Models. - Eliza Kosoy; Annya Dahmani; Andrew K. Lampinen; Iulia M. Comsa; Soojin Jeong; Ishita Dasgupta 001; Kelsey Allen (CoRR, 2025)

Intrinsically-Motivated Humans and Agents in Open-World Exploration. - Aly Lidayan; Yuqing Du; Eliza Kosoy; Maria Rufova; Pieter Abbeel; Alison Gopnik (CoRR, 2025)