2 papers
cs.CL2025
Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
Christian Hobelsberger, Theresa Winner, Andreas Nawroth +2
Large language models (LLMs) produce outputs with varying levels of uncertainty, and, just as often, varying levels of correctness; making their practical reliability far from guar…
quant-ph2023
A performance characterization of quantum generative models
Carlos A. Riofrío, Oliver Mitevski, Caitlin Jones +6
Quantum generative modeling is a growing area of interest for industry-relevant applications. With the field still in its infancy, there are many competing techniques. This work is…