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20212026
most citedContestable AI needs Computational Argumentation

6 citations · 9 across the 12 of their papers we have counts for

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cs.HC2024

Visualizing Extensions of Argumentation Frameworks as Layered Graphs

Martin Nöllenburg, Christian Pirker, Anna Rapberger +2

The visualization of argumentation frameworks (AFs) is crucial for enabling a wide applicability of argumentative tools. However, their visualization is often considered only as an…

cs.AI2024

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…

cs.AI2024

Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation

Tuomo Lehtonen, Anna Rapberger, Francesca Toni +2

Most existing computational tools for assumption-based argumentation (ABA) focus on so-called flat frameworks, disregarding the more general case. In this paper, we study an instan…

cs.AI2024

Argumentative Causal Discovery

Fabrizio Russo, Anna Rapberger, Francesca Toni

Causal discovery amounts to unearthing causal relationships amongst features in data. It is a crucial companion to causal inference, necessary to build scientific knowledge without…

cs.AI2024★ 6 cited

Contestable AI needs Computational Argumentation

Francesco Leofante, Hamed Ayoobi, Adam Dejl +10

AI has become pervasive in recent years, but state-of-the-art approaches predominantly neglect the need for AI systems to be contestable. Instead, contestability is advocated by AI…

cs.AI2024

On the Correspondence of Non-flat Assumption-based Argumentation and Logic Programming with Negation as Failure in the Head

Anna Rapberger, Markus Ulbricht, Francesca Toni

The relation between (a fragment of) assumption-based argumentation (ABA) and logic programs (LPs) under stable model semantics is well-studied. However, for obtaining this relatio…