Return
LLMs as models for analogical reasoning
DOI:10.1016/j.jml.2025.104676.png)
Abstract
En 中文
• Certain LLMs match humans in some variations of a novel analogical reasoning task. • However, humans and LLMs respond differently to certain task variations. • LLMs approach human-level, but not necessarily human-like, reasoning in these tasks.
Keywords:
Language models
Analogical reasoning
Cognitive science
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3
Papers:
125
Citations:
9.9K

