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Aptly: Making Mobile Apps from Natural Language

arXiv 2405.00229 ↗First posted 30 Apr 2024cs.HC cs.AI cs.PLcited by 0

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Abstract (arXiv)

This paper introduces Aptly, a platform designed to democratize mobile app development, particularly for young learners. Aptly integrates a Large Language Model (LLM) with App Inventor, enabling users to create apps using their natural language. User's description is translated into a programming language that corresponds with App Inventor's visual blocks. A preliminary study with high school students demonstrated the usability and potential of the platform. Prior programming experience influenced how users interact with Aptly. Participants identified areas for improvement and expressed a shift in perspective regarding programming accessibility and AI's role in creative endeavors.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 12 of its 34 references that are in the map. First posted on arXiv 30 Apr 2024.

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References · 12

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2023GPT-4 Technical Reportcited by 18,396
  4. 2021Evaluating Large Language Models Trained on Codecited by 8,320
  5. 2021Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigmcited by 606
  6. 2022Text and Code Embeddings by Contrastive Pre-Trainingcited by 361
  7. 2021CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Taskscited by 200
  8. 2022GitHub Copilot AI pair programmer: Asset or Liability?cited by 152
  9. 2022Automatic Generation of Programming Exercises and Code Explanations using Large Language Modelscited by 126
  10. 2022Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Languagecited by 82
  11. 2023Generative AI Assistants in Software Development Education: A vision for integrating Generative AI into educational practice, not instinctively defending against itcited by 5
  12. 2021Text2App: A Framework for Creating Android Apps from Text Descriptionscited by 3

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