Only the largest tested LLMs (about 70 billion parameters) match human accuracy on an abstract reasoning task, and the internal geometry of their best layers correlates moderately with human frontal EEG activity.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.NC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
Only the largest tested LLMs (about 70 billion parameters) match human accuracy on an abstract reasoning task, and the internal geometry of their best layers correlates moderately with human frontal EEG activity.