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LLMs as models for analogical reasoning

delete2025-07-31
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OA
AI
S
Sam Musker *
A
Alex Duchnowski
R
Raphaël Millière
E
Ellie Pavlick
DOI:10.1016/j.jml.2025.104676delete
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Abstract

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
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Journal

Journal of Memory and Language cover
Journal of Memory and Language
IF:
3
Papers:
125
Citations:
9.9K

Organization

B
Brown University
Scholars:
2.4W
Papers: 2.2W
Citations: 3.2W
M
Macquarie University
Scholars:
1.2W
Papers: 1.5W
Citations: 2.2W