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Published in N/A, 2019
Developed a novel method to estimate the circumference of an ellipse and π by exactly calculating the perimeter of stretched regular polygons.
Published in N/A, 2022
Fine-tuned embeddings and BERT-style models for tasks such as text clustering, sentiment analysis, and named entity recognition on hospital reports.
Published in N/A, 2023
Trained a multi-head attention vision architecture to improve performance on the classification of FAST ultrasound exams given limited training data.
Published in Empirical Methods in Natural Language Processing (EMNLP), 2023
This paper discusses the distillation of long-context, efficient attention BERT-based models to yield models that are smaller, faster, and cheaper to deploy.
Recommended citation: Brown, Nathan and Williamson, Ashton and Anderson, Tahj and Lawrence, Logan. (2023). "Efficient Transformer Knowledge Distillation: A Performance Review" Empirical Methods in Natural Language Processing. https://arxiv.org/pdf/2311.13657.pdf
Published in arXiv, 2024
Developed in partnership with the University of Pretoria's DSFSI, this paper discusses the development of the Bilingual Open Tswana Suite of Langauge Models (BOTS-LM), a suite of LLMs trained for Setswana and English.
Recommended citation: Brown, Nathan and Marivate, Vukosi (2024). "BOTS-LM: Training Large Language Models for Setswana" arXiv https://arxiv.org/abs/2408.02239
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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