2 papers
cs.CL2024
Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries
Adam Yang, Chen Chen, Konstantinos Pitas
State-of-the-art large language models are sometimes distributed as open-source software but are also increasingly provided as a closed-source service. These closed-source large-la…
cs.CV2024
Just rotate it! Uncertainty estimation in closed-source models via multiple queries
Konstantinos Pitas, Julyan Arbel
We propose a simple and effective method to estimate the uncertainty of closed-source deep neural network image classification models. Given a base image, our method creates multip…