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DiCoFlex: Model-agnostic diverse counterfactuals with flexible control

arXiv — cs.LG•Thursday, November 6, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

DiCoFlex: Model-agnostic diverse counterfactuals with flexible control

The recent introduction of DiCoFlex marks a significant advancement in the field of explainable artificial intelligence (XAI). This model-agnostic approach to generating diverse counterfactuals allows for more intuitive and flexible explanations of machine learning decisions. Unlike traditional methods that require constant access to predictive models and are often computationally intensive, DiCoFlex offers a more efficient solution that can adapt to user-defined parameters. This innovation not only enhances the interpretability of AI systems but also empowers users to better understand and trust the decisions made by these technologies.
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