Francesca Toni

41 papers · 2015–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🏃 Academic Marathon (10) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (11) 🗺️ Taxonomy Completionist (52) 🏆 Keyword Champion (2) 🤝 Dynamic Duo (10) 🧬 Topic Evolution 🔬 Deep Specialist (15) 🏆 Grand Slam 🗃️ Keyword Collector (150) 📈 Trend Setter 💎 Century Club (39) 🔥 Unstoppable (9) ❓ The Questioner ⚡ Prolific Year (5) 🚀 Conference Pioneer

Conferences

IJCAI (11) AAAI (10) EMNLP (6) ACL (3) COLING (3) IJCNLP (2) NIPS (2) ACML (1) CLEAR (1) ICLR (1) ICML (1)

Top co-authors

Antonio Rago (10) Nico Potyka (5) Anna Rapberger (5) Piyawat Lertvittayakumjorn (5) Neema Kotonya (5) Francesco Leofante (4) Avinash Kori (3) Gabriel Freedman (3) Xiang Yin (3) Ben Glocker (3)

Research topics

Keywords

explainable ai (6) argumentation framework (6) text classification (5) counterfactual explanation (5) argument mining (4) assumption-based argumentation (4) explainable artificial intelligence (4) abstract argumentation (4) natural language inference (3) convolutional neural network (3) bipolar argumentation (3) explanation generation (3) large language model (3) veracity prediction (3) claim verification (3) influence function (2) language model (2) bias detection (2) deep learning (2) computational argumentation (2)

Papers

Heterogeneous Graph Neural Networks for Assumption-Based Argumentation AAAI 2026

Argumentative Debates for Transparent Bias Detection AAAI 2026

Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework CLEAR 2025

Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation IJCAI 2025

On Independence and SCC-Recursiveness in Assumption-Based Argumentation IJCAI 2025

Can Large Language Models perform Relation-based Argument Mining? COLING 2025

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation AAAI 2025

Argumentative Large Language Models for Explainable and Contestable Claim Verification AAAI 2025

Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts AAAI 2025

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models EMNLP 2025

Identifiable Object Representations under Spatial Ambiguities ICML 2025

Explaining Arguments’ Strength: Unveiling the Role of Attacks and Supports IJCAI 2024

Grounded Object-Centric Learning ICLR 2024

Non-flat ABA Is an Instance of Bipolar Argumentation AAAI 2024

Targeted Activation Penalties Help CNNs Ignore Spurious Signals AAAI 2024

Detecting Scientific Fraud Using Argument Mining ACL 2024

Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention NIPS 2024

Towards a Framework for Evaluating Explanations in Automated Fact Verification COLING 2024

Robust Counterfactual Explanations in Machine Learning: A Survey IJCAI 2024

Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation IJCAI 2024

Honesty Is the Best Policy: Defining and Mitigating AI Deception NIPS 2023

Explaining Random Forests Using Bipolar Argumentation and Markov Networks AAAI 2023

Formalising the Robustness of Counterfactual Explanations for Neural Networks AAAI 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

HILDIF: Interactive Debugging of NLI Models Using Influence Functions IJCNLP 2021

Argumentative XAI: A Survey IJCAI 2021

HILDIF: Interactive Debugging of NLI Models Using Influence Functions ACL 2021

Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification EMNLP 2021

FIND: Human-in-the-Loop Debugging Deep Text Classifiers EMNLP 2020

Explainable Automated Fact-Checking for Public Health Claims EMNLP 2020

Relation-Based Counterfactual Explanations for Bayesian Network Classifiers IJCAI 2020

Explainable Automated Fact-Checking: A Survey COLING 2020

On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract) IJCAI 2019

Human-grounded Evaluations of Explanation Methods for Text Classification IJCNLP 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

Argumentation for Explainable Scheduling AAAI 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