4 citations · 5 across the 3 of their papers we have counts for
3 papers
From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education
Jaromir Savelka, Arav Agarwal, Christopher Bogart +1
We explore the evolving efficacy of three generative pre-trained transformer (GPT) models in generating answers for multiple-choice questions (MCQ) from introductory and intermedia…
Representation of convex geometries of convex dimension 3 by spheres
Kira Adaricheva, Arav Agarwal, Na'ama Nevo
A convex geometry is a closure system satisfying the anti-exchange property. This paper, following the work of Adaricheva and Bolat (2019) and the Polymath REU (2020), continues to…
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code
Jaromir Savelka, Arav Agarwal, Christopher Bogart +1
We analyzed effectiveness of three generative pre-trained transformer (GPT) models in answering multiple-choice question (MCQ) assessments, often involving short snippets of code,…