2 papers
cs.CL2026
HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model
Noam Kayzer, Dan Revital, Ori Bar Joseph +10
We present Hebatron, a Hebrew-specialized open-weight large language model built on the NVIDIA Nemotron-3 sparse Mixture-of-Experts architecture. Training employs a three-phase eas…
cs.CV2018
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease
Danielle F. Pace, Adrian V. Dalca, Tom Brosch +5
We propose a new iterative segmentation model which can be accurately learned from a small dataset. A common approach is to train a model to directly segment an image, requiring a…