2 citations · 4 across the 5 of their papers we have counts for
3 papers · 1 filter
Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of Abstraction
Gustaw Opiełka, Hannes Rosenbusch, Claire E. Stevenson
Analogical reasoning relies on conceptual abstractions, but it is unclear whether Large Language Models (LLMs) harbor such internal representations. We explore distilled representa…
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…
Do large language models solve verbal analogies like children do?
Claire E. Stevenson, Mathilde ter Veen, Rochelle Choenni +2
Analogy-making lies at the heart of human cognition. Adults solve analogies such as \textit{Horse belongs to stable like chicken belongs to ...?} by mapping relations (\textit{kept…