Edmund Dervakos — accepted AI-conference papers

2023

Choose your Data Wisely: A Framework for Semantic Counterfactuals

Edmund Dervakos, Konstantinos Thomas, Giorgos Filandrianos, Giorgos Stamou

IJCAI 2023poster

Counterfactual explanations have been argued to be one of the most intuitive forms of explanation. They are typically defined as a minimal set of edits on a given data sample that, when applied, changes the output of a model on that sample. However, a minimal set of edits is not always clear and und…

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2023

Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors

George Filandrianos, Edmund Dervakos, Orfeas Menis Mastromichalakis, Chrysoula Zerva, Giorgos Stamou

ACL 2023findings

In the wake of responsible AI, interpretability methods, which attempt to provide an explanation for the predictions of neural models have seen rapid progress. In this work, we are concerned with explanations that are applicable to natural language processing (NLP) models and tasks, and we focus spe…

Cited by 15 Source ↗PDF ↗code ↗Scholar ↗