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U-CECE: A Universal Multi-Resolution Framework for Conceptual Counterfactual Explanations
As AI models grow more complex, explainability is essential for building trust, yet concept-based counterfactual methods still face a trade-off between expressivity and efficiency. Representing underlying concepts as atomic sets is fast but misses relational context, whereas full graph representatio
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