Author

E. Barenholtz

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#artificial intelligence Preprint Mar 2026

World Properties without World Models: Distributional Associations and the Interpretation of Decoding Results from Language Models

It is shown that static word embeddings of the same or matched stimuli of the same or matched stimuli support much of the same decoding, indicating that decodability alone cannot distinguish a representation of a property from information already available in fixed distributional associations.

E. Barenholtz · 0 citations

Preprint Jul 2026

A scaling law of contextual persistence in human language

Human language exhibits lawful structure at the level of words (frequency, vocabulary growth) and word pairs (co-occurrence across distance). Here we show that the arrangement of words in sequence -- a central determinant of meaning -- obeys a comparable law. Using large language models as probabilistic probes, we meas...

E. Barenholtz · 0 citations