CAREF: Calibration-Aware Regularization for Explanation Faithfulness Without Rationale Supervision 事件

CAREF: Calibration-Aware Regularization for Explanation Faithfulness Without Rationale Supervision arXiv:2605.27835v1 Announce Type: cross Abstract: We introduce CAREF, a parameter-efficient fine-tuning framework that jointly optimizes predictive accuracy and explanation faithfulness via calibration-aware regularization. At its core, CAREF couples entropy-based calibration with token-level sparsity control through a single unified loss, the Calibration-Aware Regularization for Explanation Faith