19 citations · 24 across the 5 of their papers we have counts for
5 papers
The Way We Notice, That's What Really Matters: Instantiating UI Components with Distinguishing Variations
Priyan Vaithilingam, Alan Leung, Jeffrey Nichols +1
Front-end developers author UI components to be broadly reusable by parameterizing visual and behavioral properties. While flexible, this makes instantiation harder, as developers…
Improving User Interface Generation Models from Designer Feedback
Jason Wu, Amanda Swearngin, Arun Krishna Vajjala +3
Despite being trained on vast amounts of data, most LLMs are unable to reliably generate well-designed UIs. Designer feedback is essential to improving performance on UI generation…
Misty: UI Prototyping Through Interactive Conceptual Blending
Yuwen Lu, Alan Leung, Amanda Swearngin +2
UI prototyping often involves iterating and blending elements from examples such as screenshots and sketches, but current tools offer limited support for incorporating these exampl…
UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback
Jason Wu, Eldon Schoop, Alan Leung +3
Large language models (LLMs) struggle to consistently generate UI code that compiles and produces visually relevant designs. Existing approaches to improve generation rely on expen…
BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks
Ruijia Cheng, Titus Barik, Alan Leung +2
Programmers frequently engage with machine learning tutorials in computational notebooks and have been adopting code generation technologies based on large language models (LLMs).…