| 2026 | ACL | TinyAttack: Exploring Stylistic Vulnerabilities in Large Language Models. | Mamta Mamta, Bogdan Octavian Grecu, Oana Cocarascu |
| 2025 | ACL | Can Large Language Models Understand Argument Schemes? | Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil |
| 2025 | ECAI | Individual Consistency eXplorer (ICX): An Interactive Dashboard for the Exploration of Individual Fairness. | Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu |
| 2025 | EMNLP | I-GUARD: Interpretability-Guided Parameter Optimization for Adversarial Defense. | Mamta Mamta, Oana Cocarascu |
| 2025 | NAACL | FactEval: Evaluating the Robustness of Fact Verification Systems in the Era of Large Language Models. | Mamta Mamta, Oana Cocarascu |
| 2024 | AAAI | Identifying Reasons for Bias: An Argumentation-Based Approach. | Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu |
| 2024 | ACL | ChartCheck: Explainable Fact-Checking over Real-World Chart Images. | Mubashara Akhtar, Nikesh Subedi, Vivek Gupta, Sahar Tahmasebi, Oana Cocarascu, Elena Simperl |
| 2024 | ECAI | EthiX: A Dataset for Argument Scheme Classification in Ethical Debates. | Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil |
| 2023 | EACL | Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking. | Mubashara Akhtar, Oana Cocarascu, Elena Simperl |
| 2023 | EMNLP | Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data. | Mubashara Akhtar, Abhilash Reddy Shankarampeta, Vivek Gupta, Arpit Patil, Oana Cocarascu, Elena Simperl |
| 2023 | EMNLP | Multimodal Automated Fact-Checking: A Survey. | Mubashara Akhtar, Michael Sejr Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos |
| 2022 | COMMA | Towards an Argument Scheme Classification for Ethical Reasoning. | Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil |
| 2022 | NAACL | PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking. | Mubashara Akhtar, Oana Cocarascu, Elena Simperl |
| 2020 | COMMA | Dataset Independent Baselines for Relation Prediction in Argument Mining. | Oana Cocarascu, Elena Cabrio, Serena Villata, Francesca Toni |
| 2020 | ECAI | Data-Empowered Argumentation for Dialectically Explainable Predictions. | Oana Cocarascu, Andria Stylianou, Kristijonas Cyras, Francesca Toni |
| 2020 | KR | Argumentation as a Framework for Interactive Explanations for Recommendations. | Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, Francesca Toni |
| 2018 | EMNLP | The Fact Extraction and VERification (FEVER) Shared Task. | James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal |
| 2018 | IJCAI | Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them. | Antonio Rago, Oana Cocarascu, Francesca Toni |
| 2017 | EMNLP | Identifying attack and support argumentative relations using deep learning. | Oana Cocarascu, Francesca Toni |
| 2017 | ICAIL | Mining Bipolar Argumentation Frameworks from Natural Language Text. | Oana Cocarascu, Francesca Toni |
| 2016 | COMMA | Argumentation for Machine Learning: A Survey. | Oana Cocarascu, Francesca Toni |
| 2016 | COMMA | A System for Supporting the Detection of Deceptive Reviews Using Argument Mining. | Oana Cocarascu, Francesca Toni |
| 2016 | ECAI | Detecting deceptive reviews using Argumentation. | Oana Cocarascu, Francesca Toni |