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ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
Evaluating whether explanations faithfully reflect a model's reasoning remains an open problem. Existing benchmarks use single interventions without statistical testing, making it impossible to distinguish genuine faithfulness from chance-level performance. We show that faithfulness is not a fixed p
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