{"ID":2824454,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.23659","arxiv_id":"2512.23659","title":"Less is more: Probabilistic reduction is best explained by small-scale predictability measures","abstract":"The primary research questions of this paper center on defining the amount of context that is necessary and/or appropriate when investigating the relationship between language model probabilities and cognitive phenomena. We investigate whether whole utterances are necessary to observe probabilistic reduction and demonstrate that n-gram representations suffice as cognitive units of planning.","short_abstract":"The primary research questions of this paper center on defining the amount of context that is necessary and/or appropriate when investigating the relationship between language model probabilities and cognitive phenomena. We investigate whether whole utterances are necessary to observe probabilistic reduction and demons...","url_abs":"https://arxiv.org/abs/2512.23659","url_pdf":"https://arxiv.org/pdf/2512.23659v2","authors":"[\"Cassandra L. Jacobs\",\"Andrés Buxó-Lugo\",\"Anna K. Taylor\",\"Marie Leopold-Hooke\"]","published":"2025-12-29T18:12:37Z","proceeding":"cs.CL","tasks":"[\"cs.CL\"]","methods":"[\"Language Model\"]","has_code":false}