3 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
Correcting Mode Collapse in Silicon Sampling with Semantic Similarity Rating
Oscar Heath, Rohan Alexander
Silicon sampling refers to the use of Large Language Models (LLMs) to generate responses to surveys. It has shown promise, but tends to generate response distributions with unreali…
Prompting the Professoriate: A Qualitative Study of Instructor Perspectives on LLMs in Data Science Education
Ana Elisa Lopez-Miranda, Tiffany Timbers, Rohan Alexander
Large Language Models (LLMs) have shifted in just a few years from novelty to ubiquity, raising fundamental questions for data science education. Tasks once used to teach coding, w…
Limits to AI Growth: The Ecological and Social Consequences of Scaling
Eshta Bhardwaj, Rohan Alexander, Christoph Becker
The accelerating development and deployment of AI technologies depend on the continued ability to scale their infrastructure. This has implied increasing amounts of monetary invest…