Language models show human-like content effects on reasoning tasks

Reasoning is a key ability for an intelligent system. Large language models (LMs) achieve above-chance performance on abstract reasoning tasks, but exhibit many imperfections. However, human abstract reasoning is also imperfect. For example, human reasoning is affected by our real-world knowledge an...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	Dasgupta, Ishita, Lampinen, Andrew K, Chan, Stephanie C Y, Sheahan, Hannah R, Creswell, Antonia, Kumaran, Dharshan, McClelland, James L, Hill, Felix
Format:	Artikel
Sprache:	eng
Schlagworte:	Cognition & reasoning Language Reasoning
Online-Zugang:	Volltext
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