SQUIRE: Interactive UI Authoring via Slot QUery Intermediate REpresentations

Apple Machine Learning Journal / 4/6/2026

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Key Points

  • The paper, “SQUIRE: Interactive UI Authoring via Slot QUery Intermediate REpresentations,” introduces a method for authoring interactive user interfaces using slot-based query intermediate representations.
  • It targets HCI/UI authoring workflows by enabling more structured, reusable, or composable specification of UI elements and interactions.
  • The work is presented as an academic contribution published April 2026 and associated with the UIST research community (Human-Computer Interaction).
  • Authors include Alan Leung, Ruijia Cheng, Jason Wu, Jeffrey Nichols, and Titus Barik, and the publication is available via the ACM Digital Library.
Frontend developers create UI prototypes to evaluate alternatives, which is a time-consuming process of repeated iteration and refinement. Generative AI code assistants enable rapid prototyping simply by prompting through a chat interface rather than writing code. However, while this interaction gives developers flexibility since they can write any prompt they wish, it makes it challenging to control what is generated. First, natural language on its own can be ambiguous, making it difficult for developers to precisely communicate their intentions. Second, the model may respond unpredictably…

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