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S. Vallisa

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#natural language process... Preprint Sep 2026

Psychosis involves a deficit of information compression in connected speech

Large language models (LLMs) with human-like performance on linguistic tasks have transformed the study of language in neurodiverse conditions. LLMs provide representations of linguistic input in the form of high-dimensional vectors (embeddings), and next-token predictions computed from these embeddings. Previous cross...

S. Vallisa, C. Palominos, Rui He et al. · 0 citations
Preprint Aug 2026

The Changing Geometry of Grammar: Dimensionality and Neighborhood Reorganization across Transformer Layers

This work investigates the layer-wise evolution of ID, and shows that closed-class items expand earlier and collapse sooner than open-class ones, and recovers a token's grammatical role, and uses them to interpret how the semantic content of each PoS evolves across layers in a downstream classification task.

S. Vallisa, Federico Ravenda, C. Palominos et al. · 0 citations

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