Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
We study how programmers interact with the AI code-recommendation system Copilot and develop a taxonomy of programmer activities. We also predict programmer acceptance of AI code-recommendations.
Machine Teaching with Generative Models for Human Learning
In this work, we tackle a specific task that can aid experimental scientists in the era of big data, given a large dataset of annotated …
Juan C Caicedo