Uncertainty quantification (UQ) is increasingly critical for modelling complex systems in which input parameters or environmental conditions vary unpredictably. Polynomial chaos methods offer a ...
Improving uncertainty quantification in LLMs, this method combines epistemic and aleatoric uncertainty, leading to better ...
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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 ...
Abstract: The increasing power of computing platforms and the recent advances in data science techniques have fostered the development of data-driven computational models of engineering systems with ...
In Chapter 1, verification is defined as the process of determining how accurately a computer program (“code”) correctly solves the equations of a mathematical model. This includes code verification ...
Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
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