A cosine-similarity metric on SHAP feature attributions is proposed to quantify explanation stability for same-label inputs under perturbations in transformer-based sentiment classifiers.
In: Proceedings of the AAAI Conference on Artificial Intelligence
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Empirical Characterization of Rationale Stability Under Controlled Perturbations for Explainable Pattern Recognition
A cosine-similarity metric on SHAP feature attributions is proposed to quantify explanation stability for same-label inputs under perturbations in transformer-based sentiment classifiers.