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Lucia C. Passaro

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#natural language process... Preprint Sep 2026

Likelihood Ranking doesn't Scale Like Prompting in LLMs

LLM evaluation is commonly performed either by prompting models to produce answers or by scoring candidate outputs with likelihood-based metrics. In multiple-choice QA, however, standard likelihood-based scoring is still conditioned on the question and answer set, and can therefore leverage the same task-conditioned an...

Alessandro Bondielli, Lucia C. Passaro, D. Bacciu et al. · 0 citations
#natural language process... Preprint Sep 2026

Parts-of-Speech as Emergent Categories in SAE Latent Space

Sparse AutoEncoders (SAEs) offer a promising way to inspect language model representations, but it is still unclear what kind of linguistic structure their latents expose. We use part-of-speech (PoS) categories as a controlled test case to study whether morpho-syntactic information is encoded by individual latents or b...

Alessandro Bondielli, Lucia C. Passaro, Serena Auriemma et al. · 0 citations

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