Truth in Contrast: Calibrated Factual Evidence from Language Model Likelihoods.

arXiv:2610.23527v1 Announce Type: cross Abstract: Large Language Models (LLMs) encode substantial factual knowledge. Yet, estimating confidence in factual claims reliably remains challenging. We study likelihood-based factual confidence from the complementary