4 citations · 6 across the 9 of their papers we have counts for
5 papers · 1 filter
Diversified and Perceptible Counterfactual Examples Leveraging Expert Knowledge
Akram Bensalem, Fahima Djelil, Marie-Jeanne Lesot +1
CounterFactual Examples (CFEs) are a cornerstone of eXplainable Artificial Intelligence (XAI), offering local, post hoc, and model-agnostic explanations by identifying minimal inpu…
Aggregative Semantics for Quantitative Bipolar Argumentation Frameworks
Yann Munro, Isabelle Bloch, Marie-Jeanne Lesot
Formal argumentation is being used increasingly in artificial intelligence as an effective and understandable way to model potentially conflicting pieces of information, called arg…
Metric assessment protocol in the context of answer fluctuation on MCQ tasks
Ekaterina Goliakova, Xavier Renard, Marie-Jeanne Lesot +3
Using multiple-choice questions (MCQs) has become a standard for assessing LLM capabilities efficiently. A variety of metrics can be employed for this task. However, previous resea…
An action language-based formalisation of an abstract argumentation framework
Yann Munro, Camilo Sarmiento, Isabelle Bloch +3
An abstract argumentation framework is a commonly used formalism to provide a static representation of a dialogue. However, the order of enunciation of the arguments in an argument…
Integrating Temporality and Causality into Acyclic Argumentation Frameworks using a Transition System
Y. Munro, C. Sarmiento, I. Bloch +2
In the context of abstract argumentation, we present the benefits of considering temporality, i.e. the order in which arguments are enunciated, as well as causality. We propose a f…