“What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models

Author:

Liu Michael Xieyang,Sarkar Advait,Negreanu Carina,Zorn Benjamin,Williams Jack,Toronto Neil,Gordon Andrew D.

Publisher

ACM

Reference133 articles.

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1. How Novices Use LLM-based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment;Proceedings of the 23rd Koli Calling International Conference on Computing Education Research;2023-11-13

2. Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?;Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software;2023-10-18

3. COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code;2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC);2023-10-03

4. Exploring Early Adopters' Perceptions of ChatGPT as a Code Generation Tool;2023 38th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW);2023-09-11

5. From "Ban It Till We Understand It" to "Resistance is Futile": How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot;Proceedings of the 2023 ACM Conference on International Computing Education Research V.1;2023-08-07

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