11 citations · 13 across the 10 of their papers we have counts for
3 papers · 1 filter
Melanoma Detection with Uncertainty Quantification
SangHyuk Kim, Edward Gaibor, Brian Matejek +1
Early detection of melanoma is crucial for improving survival rates. Current detection tools often utilize data-driven machine learning methods but often overlook the full integrat…
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
Ramneet Kaur, Colin Samplawski, Adam D. Cobb +8
In this paper, we present a dynamic semantic clustering approach inspired by the Chinese Restaurant Process, aimed at addressing uncertainty in the inference of Large Language Mode…
Resource-Constrained Heuristic for Max-SAT
Brian Matejek, Daniel Elenius, Cale Gentry +2
We propose a resource-constrained heuristic for instances of Max-SAT that iteratively decomposes a larger problem into smaller subcomponents that can be solved by optimized solvers…