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Daniel Gilo

2 accepted papers

2024

A General Search-Based Framework for Generating Textual Counterfactual Explanations

AAAI 2024technical

One of the prominent methods for explaining the decision of a machine-learning classifier is by a counterfactual example. Most current algorithms for generating such examples in the textual domain are based on generative language models. Generative models, however, are trained to minimize a specifi…

Cited by 2SourcePDFScholar