4 citations · 7 across the 3 of their papers we have counts for
3 papers
Characterising the Creative Process in Humans and Large Language Models
Surabhi S. Nath, Peter Dayan, Claire Stevenson
Large language models appear quite creative, often performing on par with the average human on creative tasks. However, research on LLM creativity has focused solely on \textit{pro…
Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method
Luca H. Thoms, Karel A. Veldkamp, Hannes Rosenbusch +1
Analogical reasoning derives information from known relations and generalizes this information to similar yet unfamiliar situations. One of the first generalized ways in which deep…
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…