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Bibliographic Details
Main Authors:	Agarwal, Arav, Mittal, Karthik, Doyle, Aidan, Sridhar, Pragnya, Wan, Zipiao, Doughty, Jacob Arthur, Savelka, Jaromir, Sakr, Majd
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2404.09366
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Table of Contents:

We conduct a preliminary study of the effect of GPT's temperature parameter on the diversity of GPT4-generated questions. We find that using higher temperature values leads to significantly higher diversity, with different temperatures exposing different types of similarity between generated sets of questions. We also demonstrate that diverse question generation is especially difficult for questions targeting lower levels of Bloom's Taxonomy.