all AI news
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
April 23, 2024, 4:44 a.m. | Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
cs.LG updates on arXiv.org arxiv.org
Abstract: AI powered code-recommendation systems, such as Copilot and CodeWhisperer, provide code suggestions inside a programmer's environment (e.g., an IDE) with the aim of improving productivity. We pursue mechanisms for leveraging signals about programmers' acceptance and rejection of code suggestions to guide recommendations. We harness data drawn from interactions with GitHub Copilot, a system used by millions of programmers, to develop interventions that can save time for programmers. We introduce a utility-theoretic framework to drive decisions …
abstract aim arxiv code code suggestions codewhisperer copilot cs.hc cs.lg cs.se environment feedback guide harness human human feedback ide improving inside productivity programmer programmers programming recommendation recommendations recommendation systems show suggestions systems type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York