Papers by Marco Patella

    1 papers
    Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards? (2026.acl-long)

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    Challenge: Recent advances have seen large language models (LLMs) achieve remarkable performance across high-stakes specialized domains.
    Approach: They propose a diagnostic framework that evaluates legal reasoning against medical baselines along four axes (knowledge recall, grounding, confidence, and robustness) they uncover a sharp domain asymmetry when applied to a benchmark that encodes temporal validity and normative relationships.
    Outcome: The proposed framework evaluates legal reasoning against medical baselines along four axes (knowledge recall, grounding, confidence, and robustness) it shows that legal LLMs struggle to assess when retrieved citations are useful or misleading, exhibiting overconfidence in perturbed contexts and sensitivity to superficial formatting cues.

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