Closing the Confidence-Faithfulness Gap in Large Language Models

Closing the Confidence-Faithfulness Gap in Large Language Models explores A novel two-stage adaptive steering pipeline significantly improves LLM calibration by aligning verbalized confidence with actual accuracy, addressing the 'Reasoning Contamination Effect'.. Commercial viability score: 7/10 in LLM Calibration.