| 2026 | ACL | Explaining Sources of Uncertainty in Automated Fact-Checking. | Jingyi Sun, Greta Warren, Irina Shklovski, Isabelle Augenstein |
| 2025 | ACL | Can Community Notes Replace Professional Fact-Checkers? | Nadav Borenstein, Greta Warren, Desmond Elliott, Isabelle Augenstein |
| 2025 | CHI | Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking. | Greta Warren, Irina Shklovski, Isabelle Augenstein |
| 2024 | ICCBR | Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI. | Greta Warren, Eoin Delaney, Christophe Guret, Mark T. Keane |
| 2023 | IUI | Categorical and Continuous Features in Counterfactual Explanations of AI Systems. | Greta Warren, Ruth M. J. Byrne, Mark T. Keane |
| 2022 | ICCBR | Counterfactual Explanations for eXplainable AI (XAI). | Greta Warren |
| 2022 | ICCBR | "Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI). | Greta Warren, Barry Smyth, Mark T. Keane |
| 2022 | IJCAI | Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI. | Greta Warren, Mark T. Keane, Ruth M. J. Byrne |
| 2021 | CogSci | Explanation in Human Thinking. | Jrg Cassens, Lorenz Habenicht, Julian Blohm, Rebekah Wegener, Joanna Korman, Sangeet Khemlani, Giorgio Gronchi, Ruth M. J. Byrne, Greta Warren, Molly S. Quinn, Mark T. Keane |