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Francesca Toni

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#artificial intelligence Preprint Aug 2026

Embedding Models for Stance-Aware Argument Retrieval

This paper introduces diagnostic word-ablation metrics to quantify this phenomenon and proposes a data-centric solution that can alleviate the observed overcorrection in stance-aware argument retrieval and demonstrates that, for sufficiently powerful models, this approach can alleviate the observed overcorrection.

Angelo Sparacino, Francesca Toni, Adam Dejl · 0 citations
#artificial intelligence Preprint Aug 2026

A Theory of Post-hoc Debate Judgement

This study develops and test a novel theory of debate judgement applicable to all settings where agents engage in debates by providing pros and cons for their opinions therein and indicates argumentation semantics as an ideal candidate for principled judges in debate-driven AI.

Xiang Yin, Adam Dejl, Antonio Rago et al. · 0 citations