11 citations · 32 across the 8 of their papers we have counts for
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cs.CL2025
On the robustness of modeling grounded word learning through a child's egocentric input
Wai Keen Vong, Brenden M. Lake
What insights can machine learning bring to understanding human language acquisition? Large language and multimodal models have achieved remarkable capabilities, but their reliance…
cs.CL2022
Abstract Visual Reasoning with Tangram Shapes
Anya Ji, Noriyuki Kojima, Noah Rush +4
We introduce KiloGram, a resource for studying abstract visual reasoning in humans and machines. Drawing on the history of tangram puzzles as stimuli in cognitive science, we build…
cs.CL2020★ 5 cited
Learning word-referent mappings and concepts from raw inputs
Wai Keen Vong, Brenden M. Lake
How do children learn correspondences between the language and the world from noisy, ambiguous, naturalistic input? One hypothesis is via cross-situational learning: tracking words…