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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.
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
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Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
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 …
Michael Doron, Hussein Mozannar, David Sontag, Juan C Caicedo
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