Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models.

arXiv:2604.00445v2 Announce Type: replace Abstract: Uncertainty estimation (UE) aims to quantify uncertainty in large language model (LLM) outputs to flag potential hallucinations and support reliable deployment. However, UE metrics often exhibit unstable perf