Improving uncertainty quantification in LLMs, this method combines epistemic and aleatoric uncertainty, leading to better ...

Conformal prediction offers a robust, distribution-free framework that transforms point estimates into prediction sets or intervals by leveraging the concept of exchangeability. This framework helps ...

NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

This conference is being held in cooperation with the American Statistical Association (ASA) and GAMM Activity Group on Uncertainty Quantification (GAMM AG UQ). Uncertainty quantification (UQ) is ...