Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models 事件

Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models arXiv:2606.03846v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate remarkable performance across diverse tasks, but they often generate responses that appear plausible while being factually incorrect. This problem is compounded by the lack of explicit uncertainty estimates, which makes it difficult for users to judge the reliability of model outputs. Existing un