Papers by Samuele D’Avenia

    1 papers
    Quantifying the Influence of Irrelevant Contexts on Political Opinions Produced by LLMs (2025.acl-srw)

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    Challenge: Recent studies have examined the generation of large language models (LLMs) on subjective topics such as political opinions and attitudinal questionnaires.
    Approach: They use a Political Compass Test questionnaire to quantify how irrelevant information can systematically bias model opinions in specific directions.
    Outcome: The results show that even seemingly unrelated contexts alter model responses in predictable ways.

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