Article

What have we learned about human reasoning from large reasoning models? Response to de Varda et al.

2026-07-21

Abstract excerpt

<p>de Varda et al (2025) reported that human response times and the number of tokens generated by a range of large reasoning models (LRMs) are correlated across 7 different tasks. The authors took the findings to reflect a “strong alignment” between reasoning effort in LRMs and humans. In response to a critique of Vankov et al. (2026), de Varda et al (2026a) carried out a new series of simulation studies taken to...

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Literature Corpus work: 89f5f64d-d304-5350-b360-ae89985f5e29
DOI: 10.31234/osf.io/3ef2x_v1

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