Tech Xplore on MSN
A better method for identifying overconfident large language models
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 ...
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 ...
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 ...
Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
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 ...
The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as ...
The Uncertainty Quantification Module, an add-on to the COMSOL Multiphysics® software, is designed to address the limitations of deterministic simulations by incorporating the inherent uncertainties ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results