From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty

Azza Jenane, Nassim Walha, Lukas Kuhn +1

Large Language Models (LLMs) that can express interpretable and calibrated uncertainty are crucial in high-stakes domains. While methods to compute uncertainty post-hoc exist, they…