FALCON-Discover ranks predictions by discrepancy signals to locate false-confidence regions for calibration

arXiv:2607.18278v1 Announce Type: new Abstract: Calibration is usually evaluated in aggregate, but the most dangerous failures are often local: predictions that remain highly confident despite being wrong. We study...