3 citations · 5 across the 7 of their papers we have counts for
7 papers
Line-Anchored Feedback Cuts Token Costs and Improves Correctness in AI Code Editing
William Franz Lamberti
Generated tokens are a direct driver of the cost, latency, and energy of generative AI (GAI) code editing. We show the format of feedback is a lever on all three. We compare two de…
Pilot Study on Student Public Opinion Regarding GAI
William Franz Lamberti, Sunbin Kim, Samantha Rose Lawrence
The emergence of generative AI (GAI) has sparked diverse opinions regarding its appropriate use across various domains, including education. This pilot study investigates universit…
Pilot Study on Generative AI and Critical Thinking in Higher Education Classrooms
W. F. Lamberti, S. R. Lawrence, D. White +2
Generative AI (GAI) tools have seen rapid adoption in educational settings, yet their role in fostering critical thinking remains underexplored. While previous studies have examine…
Artificial Intelligence Policy Framework for Institutions
William Franz Lamberti
Artificial intelligence (AI) has transformed various sectors and institutions, including education and healthcare. Although AI offers immense potential for innovation and problem s…
Shape Proportions and Sphericity in n Dimensions
William Franz Lamberti
Shape metrics for objects in high dimensions remain sparse. Those that do exist, such as hyper-volume, remain limited to objects that are better understood such as Platonic solids…
Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable Features
William Franz Lamberti
White Blood Cell (WBC) Leukaemia is detected through image-based classification. Convolutional Neural Networks are used to learn the features needed to classify images of cells a m…
Using Shape Metrics to Describe 2D Data Points
William Franz Lamberti
Traditional machine learning (ML) algorithms, such as multiple regression, require human analysts to make decisions on how to treat the data. These decisions can make the model bui…