When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

8 June 2023

Papers citing "When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming"

8 / 8 papers shown

Title
The Value of Information in Human-AI Decision-making Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman FAtt 49 0 0 10 Feb 2025
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review Agnia Sergeyuk Sergey Titov M. Izadi 13 6 0 19 Jan 2024
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making Kate Donahue Sreenivas Gollapudi Kostas Kollias 11 3 0 22 Aug 2023
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming Hussein Mozannar Gagan Bansal Adam Fourney Eric Horvitz 28 108 0 25 Oct 2022
Grounded Copilot: How Programmers Interact with Code-Generating Models Shraddha Barke M. James Nadia Polikarpova 136 212 0 30 Jun 2022
Productivity Assessment of Neural Code Completion Albert Ziegler Eirini Kalliamvakou Shawn Simister Ganesh Sittampalam Alice Li Andrew Rice Devon Rifkin E. Aftandilian 93 176 0 13 May 2022
Measuring Coding Challenge Competence With APPS Dan Hendrycks Steven Basart Saurav Kadavath Mantas Mazeika Akul Arora ... Collin Burns Samir Puranik Horace He D. Song Jacob Steinhardt ELM AIMat ALM 189 614 0 20 May 2021
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 273 1,561 0 18 Sep 2019