Francesca Toni

Adapting the DF-QuAD algorithm to bipolar argumentation

2016 · Spiral (Imperial College London)

We define a quantitative semantics for evaluating the strength of arguments in Bipolar Argumentation frameworks (BAFs) by adapting the Discontinuity-Free QuAD (DF-QuAD) algorithm previously used for evaluating the strength of arguments in Quantitative Argumentation Debates …

Argumentation for explainable reasoning with conflicting medical recommendations

2018 · Spiral (Imperial College London)

Designing a treatment path for a patient suffering from multiple conditions involves merging and applying multiple clinical guidelines and is recognised as a difficult task. This is especially relevant in the treatment of patients with …

Aggregating Bipolar Opinions (With Appendix)

2021 · arXiv (Cornell University)

We introduce a novel method to aggregate Bipolar Argumentation (BA) Frameworks expressing opinions by different parties in debates. We use Bipolar Assumption-based Argumentation (ABA) as an all-encompassing formalism for BA under different semantics. By leveraging …

Learning Assumption-based Argumentation Frameworks

2023 · arXiv (Cornell University)

We propose a novel approach to logic-based learning which generates assumption-based argumentation (ABA) frameworks from positive and negative examples, using a given background knowledge. These ABA frameworks can be mapped onto logic programs with negation …

Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation

2023 · arXiv (Cornell University)

Counterfactual Explanations (CEs) have received increasing interest as a major methodology for explaining neural network classifiers. Usually, CEs for an input-output pair are defined as data points with minimum distance to the input that are …

Aggregating bipolar opinions through bipolar assumption-based argumentation

2024 · Autonomous Agents and Multi-Agent Systems

Abstract We introduce a novel method to aggregate bipolar argumentation frameworks expressing opinions of different parties in debates. We use Bipolar Assumption-based Argumentation (ABA) as an all-encompassing formalism for bipolar argumentation under different semantics. By …

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models

2025 · ArXiv.org

Research in uncertainty quantification (UQ) for large language models (LLMs) is increasingly important towards guaranteeing the reliability of this groundbreaking technology. We explore the integration of LLM UQ methods in argumentative LLMs (ArgLLMs), an explainable …

Retrieval- and Argumentation-Enhanced Multi-Agent LLMs for Judgmental Forecasting

2025 · Research Portal (King's College London)

Judgmental forecasting is the task of making predictions about future events based on human judgment.This task can be seen as a form of claim verification, where the claim corresponds to a future event and the …