The cost of thinking is similar between large reasoning models and humans

Abstract excerpt

<p>Do neural network models capture the cognitive demands of human reasoning? Across four reasoning domains, we show that the length of the chain-of-thought generated by a large reasoning model predicts human reaction times both within tasks—tracking item-level difficulty—and across tasks—capturing broader differences in cognitive demands. This model-to-human alignment shows that reasoning models mirror core featu...

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• Autism Spectrum Disorder Research
• Autistic Disorder
• Brain
• Genome, Human
• Phenotype
• Polymorphism, Genetic
• Schizophrenia
• Social Behavior

Identifiers and source

Literature Corpus work

f2e7ccfe-2444-5eea-a6b9-0ab9804b975a

DOI

10.31234/osf.io/m2cu5_v1