Less is more: Probabilistic reduction is best explained by small-scale predictability measures
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866915709513105408 |
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| author | Jacobs, Cassandra L. Buxó-Lugo, Andrés Taylor, Anna K. Leopold-Hooke, Marie |
| author_facet | Jacobs, Cassandra L. Buxó-Lugo, Andrés Taylor, Anna K. Leopold-Hooke, Marie |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_23659 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Less is more: Probabilistic reduction is best explained by small-scale predictability measures Jacobs, Cassandra L. Buxó-Lugo, Andrés Taylor, Anna K. Leopold-Hooke, Marie Computation and Language 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. |
| title | Less is more: Probabilistic reduction is best explained by small-scale predictability measures |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2512.23659 |