2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CE2026
A Survey of AI Methods for Geometry Preparation and Mesh Generation in Engineering Simulation
Steven Owen, Nathan Brown, Nikos Chrisochoides +8
Artificial intelligence is beginning to reduce the manual effort in the CAD-to-mesh pipeline. Written for meshing and geometry practitioners with limited AI background, this survey…
cs.CL2024
Pula: Training Large Language Models for Setswana
Nathan Brown, Vukosi Marivate
In this work we present Pula, a suite of bilingual language models proficient in both Setswana and English. Leveraging recent advancements in data availability and efficient fine-t…
cs.CL2023★ 2 cited
Efficient Transformer Knowledge Distillation: A Performance Review
Nathan Brown, Ashton Williamson, Tahj Anderson +1
As pretrained transformer language models continue to achieve state-of-the-art performance, the Natural Language Processing community has pushed for advances in model compression a…