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cs.AI2024★ 1 cited
Can Large Language Models generalize analogy solving like children can?
Claire E. Stevenson, Alexandra Pafford, Han L. J. van der Maas +1
In people, the ability to solve analogies such as "body : feet :: table : ?" emerges in childhood, and appears to transfer easily to other domains, such as the visual domain "( : )…
cs.CL2024
Do Large Language Models Solve ARC Visual Analogies Like People Do?
Gustaw Opiełka, Hannes Rosenbusch, Veerle Vijverberg +1
The Abstraction Reasoning Corpus (ARC) is a visual analogical reasoning test designed for humans and machines (Chollet, 2019). We compared human and large language model (LLM) perf…