collaborators

6 papers

cs.AI2026

Splitting Argumentation Frameworks with Collective Attacks and Supports

Matti Berthold, Lydia Blümel, Giovanni Buraglio +1

This work proposes novel splitting techniques for argumentation formalisms that incorporate supports between defeasible elements. We base our studies on bipolar set-based argumenta…

cs.AI2025

Argumentative Debates for Transparent Bias Detection [Technical Report]

Hamed Ayoobi, Nico Potyka, Anna Rapberger +1

As the use of AI in society grows, addressing emerging biases is essential to prevent systematic discrimination. Several bias detection methods have been proposed, but, with few ex…

cs.AI2025

Heterogeneous Graph Neural Networks for Assumption-Based Argumentation

Preesha Gehlot, Anna Rapberger, Fabrizio Russo +1

Assumption-Based Argumentation (ABA) is a powerful structured argumentation formalism, but exact computation of extensions under stable semantics is intractable for large framework…

cs.AI2025

On Strong and Weak Admissibility in Non-Flat Assumption-Based Argumentation

Matti Berthold, Lydia Blümel, Anna Rapberger

In this work, we broaden the investigation of admissibility notions in the context of assumption-based argumentation (ABA). More specifically, we study two prominent alternatives t…

cs.AI2025

On Gradual Semantics for Assumption-Based Argumentation

Anna Rapberger, Fabrizio Russo, Antonio Rago +1

In computational argumentation, gradual semantics are fine-grained alternatives to extension-based and labelling-based semantics . They ascribe a dialectical strength to (component…

cs.AI2025

PeerArg: Argumentative Peer Review with LLMs

Purin Sukpanichnant, Anna Rapberger, Francesca Toni

Peer review is an essential process to determine the quality of papers submitted to scientific conferences or journals. However, it is subjective and prone to biases. Several studi…