3 papers
cs.AI2025
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 "( : )…
q-bio.NC2025
Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
Christopher Pinier, Sonia Acuña Vargas, Mariia Steeghs-Turchina +3
This study investigates whether large language models (LLMs) mirror human neurocognition during abstract reasoning. We compared the performance and neural representations of human…
cs.CL2025
Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of Abstraction
Gustaw OpieÅka, 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…