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Likelihood Ranking doesn't Scale Like Prompting in LLMs
Alessandro Bondielli, Lucia Passaro, Davide Bacciu +1
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, st…
Parts-of-Speech as Emergent Categories in SAE Latent Space
Alessandro Bondielli, Lucia Passaro, Serena Auriemma +1
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 p…
An Experimental Comparison of the Most Popular Approaches to Fake News Detection
Pietro Dell'Oglio, Alessandro Bondielli, Francesco Marcelloni +1
In recent years, fake news detection has received increasing attention in public debate and scientific research. Despite advances in detection techniques, the production and spread…
Enhancing Debunking Effectiveness through LLM-based Personality Adaptation
Pietro Dell'Oglio, Alessandro Bondielli, Francesco Marcelloni +1
This study proposes a novel methodology for generating personalized fake news debunking messages by prompting Large Language Models (LLMs) with persona-based inputs aligned to the…