3 citations · 3 across the 7 of their papers we have counts for
7 papers
Argumentatively Coherent Judgmental Forecasting
Deniz Gorur, Antonio Rago, Francesca Toni
Judgmental forecasting employs human opinions to make predictions about future events, rather than exclusively historical data as in quantitative forecasting. When these opinions f…
MArgE: Meshing Argumentative Evidence from Multiple Large Language Models for Justifiable Claim Verification
Ming Pok Ng, Junqi Jiang, Gabriel Freedman +2
Leveraging outputs from multiple large language models (LLMs) is emerging as a method for harnessing their power across a wide range of tasks while mitigating their capacity for ma…
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…
How Do People Revise Inconsistent Beliefs? Examining Belief Revision in Humans with User Studies
Stylianos Loukas Vasileiou, Antonio Rago, Maria Vanina Martinez +1
Understanding how humans revise their beliefs in light of new information is crucial for developing AI systems which can effectively model, and thus align with, human reasoning. Wh…
Argumentation and Machine Learning
Antonio Rago, Kristijonas Čyras, Jack Mumford +1
This chapter provides an overview of research works that present approaches with some degree of cross-fertilisation between Computational Argumentation and Machine Learning. Our re…
Advancing Interactive Explainable AI via Belief Change Theory
Antonio Rago, Maria Vanina Martinez
As AI models become ever more complex and intertwined in humans' daily lives, greater levels of interactivity of explainable AI (XAI) methods are needed. In this paper, we propose…