Francesca Toni

Argumentative Debates for Transparent Bias Detection AAAI 2026 Heterogeneous Graph Neural Networks for Assumption-Based Argumentation AAAI 2026 Argumentative Large Language Models for Explainable and Contestable Claim Verification AAAI 2025 Can Large Language Models perform Relation-based Argument Mining? COLING 2025 Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation IJCAI 2025 Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models EMNLP 2025 Identifiable Object Representations under Spatial Ambiguities ICML 2025 Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts AAAI 2025 On Independence and SCC-Recursiveness in Assumption-Based Argumentation IJCAI 2025 ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation AAAI 2025 Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework CLeaR 2025 Detecting Scientific Fraud Using Argument Mining ACL 2024 Explaining Arguments’ Strength: Unveiling the Role of Attacks and Supports IJCAI 2024 Grounded Object-Centric Learning ICLR 2024 Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention NeurIPS 2024 Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation IJCAI 2024 Non-flat ABA Is an Instance of Bipolar Argumentation AAAI 2024 Robust Counterfactual Explanations in Machine Learning: A Survey IJCAI 2024 Targeted Activation Penalties Help CNNs Ignore Spurious Signals AAAI 2024 Towards a Framework for Evaluating Explanations in Automated Fact Verification COLING 2024 Explaining Random Forests Using Bipolar Argumentation and Markov Networks AAAI 2023 Formalising the Robustness of Counterfactual Explanations for Neural Networks AAAI 2023 Honesty Is the Best Policy: Defining and Mitigating AI Deception NeurIPS 2023 Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation ACML 2023 Logically Consistent Adversarial Attacks for Soft Theorem Provers IJCAI 2022 Argumentative XAI: A Survey IJCAI 2021 Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification EMNLP 2021 HILDIF: Interactive Debugging of NLI Models Using Influence Functions ACL 2021 Explainable Automated Fact-Checking: A Survey COLING 2020 Explainable Automated Fact-Checking for Public Health Claims EMNLP 2020 FIND: Human-in-the-Loop Debugging Deep Text Classifiers EMNLP 2020 Relation-Based Counterfactual Explanations for Bayesian Network Classifiers IJCAI 2020 Argumentation for Explainable Scheduling AAAI 2019 Gradual Argumentation Evaluation for Stance Aggregation in Automated Fake News Detection ACL 2019 Human-grounded Evaluations of Explanation Methods for Text Classification EMNLP 2019 On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract) IJCAI 2019 Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them IJCAI 2018 Identifying attack and support argumentative relations using deep learning EMNLP 2017 Potential Based Reward Shaping for Hierarchical Reinforcement Learning IJCAI 2015