Francesca Toni

New strategies improve reasoning in complex argument frameworks for AI applications.

A new method guarantees the validity of counterfactual explanations despite model changes.

This article presents a new method for enhancing reasoning in language models.

New models enhance accuracy in predicting urban land use and improve planning.

PB-AA-CBR merges user preferences with case-based reasoning for tailored decision-making.

Examining how explanation styles impact user understanding and trust in AI tools.

PeerArg enhances transparency and reliability in the peer review process.