2026
Calibrating Verbalized Confidence with Self-Generated Distractors
ICLR 2026poster
Calibrated confidence estimates are necessary for large language model (LLM) outputs to be trusted by human users. While LLMs can express their confidence in human-interpretable ways, verbalized LLM-generated confidence scores have empirically been found to be miscalibrated, reporting high confidenc…