most citedHuman-Like Geometric Abstraction in Large Pre-trained Neural Networks

3 citations · 4 across the 4 of their papers we have counts for

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cs.AI2024★ 3 cited

Human-Like Geometric Abstraction in Large Pre-trained Neural Networks

Declan Campbell, Sreejan Kumar, Tyler Giallanza +2

Humans possess a remarkable capacity to recognize and manipulate abstract structure, which is especially apparent in the domain of geometry. Recent research in cognitive science su…

cs.AI2024

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction

Sreejan Kumar, Raja Marjieh, Byron Zhang +5

Humans extract useful abstractions of the world from noisy sensory data. Serial reproduction allows us to study how people construe the world through a paradigm similar to the game…