Francesca Toni
41 papers · 2015–2026 · 11 conferences · across top CS/AI conferences
Achievements
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(52)
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(10)
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(15)
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(150)
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(39)
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(9)
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β‘
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(5)
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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
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 Argumentsβ 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