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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