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Found 3 papers, 1 papers with code
Do Large Language Models Solve ARC Visual Analogies Like People Do?
The Abstraction Reasoning Corpus (ARC) is a visual analogical reasoning test designed for humans and machines (Chollet, 2019).
Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method
This project focuses on visual analogical reasoning and applies the initial generalized mechanism used to solve verbal analogies to the visual realm.
Do large language models solve verbal analogies like children do?
We conclude that the LLMs we tested indeed tend to solve verbal analogies by association with C like children do.
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