Retrieval-Augmented Linguistic Calibration

In three linesNew RALC method to calibrate linguistic confidence expressions in LLMs. Models confidence as distribution of perceived probabilities, introduces Faithfulness Divergence (FD) metric, and uses retrieval-augmented rewriting. Improves faithfulness up to 66% and calibration up to 58% across three QA benchmarks and five LLM families.

Summary generated by Claude — human-verified