German H. Alferez, Ph.D.

Date of Award

Spring 4-12-2024

Degree Type


Degree Name

Master of Science (MS)


Computer Science

First Advisor

German H. Alferez, Ph.D.

Second Advisor

Robert Ordonez, MSc.

Third Advisor

Brent Hamstra, Ph.D.


Since the introduction of transformers, large language models have proven capable in many natural language processing fields. However, existing systems still face challenges in generating high-quality extractive questions. Base models and public chatbots fall short if the question source or quantity are critical. Our contribution is a question and answer generator for generating comprehensive, extractive questions and answers. This approach includes fine-tuning a LLaMA 2 base model for answer extraction (AE) and question generation (QG). We evaluate the resulting system using common automated metrics and a manual evaluation. We find that our system is comparable to the latest research and meets our objectives.