papersSEP 12 04:00 UTC
Warrant Method Locates and Controls Metric-Facing Attention Contributions
A new arXiv paper introduces Warrant, a unified approach for identifying which parts of a model's attention directly influence a given metric and for steering those contributions. The work argues that relevance and permission are distinct concepts, since an attended item may not actually support the resulting prediction. It offers a way to localize and adjust attention behavior without relying solely on relevance scores.