Semantic Scholar Open Access 2023 19 sitasi

UI Layout Generation with LLMs Guided by UI Grammar

Yuwen Lu Ziang Tong Qinyi Zhao Chengzhi Zhang Toby Jia-Jun Li

Abstrak

The recent advances in Large Language Models (LLMs) have stimulated interest among researchers and industry professionals, particularly in their application to tasks concerning mobile user interfaces (UIs). This position paper investigates the use of LLMs for UI layout generation. Central to our exploration is the introduction of UI grammar -- a novel approach we proposed to represent the hierarchical structure inherent in UI screens. The aim of this approach is to guide the generative capacities of LLMs more effectively and improve the explainability and controllability of the process. Initial experiments conducted with GPT-4 showed the promising capability of LLMs to produce high-quality user interfaces via in-context learning. Furthermore, our preliminary comparative study suggested the potential of the grammar-based approach in improving the quality of generative results in specific aspects.

Topik & Kata Kunci

Penulis (5)

Y

Yuwen Lu

Z

Ziang Tong

Q

Qinyi Zhao

C

Chengzhi Zhang

T

Toby Jia-Jun Li

Format Sitasi

Lu, Y., Tong, Z., Zhao, Q., Zhang, C., Li, T.J. (2023). UI Layout Generation with LLMs Guided by UI Grammar. https://doi.org/10.48550/arXiv.2310.15455

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.48550/arXiv.2310.15455
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
19×
Sumber Database
Semantic Scholar
DOI
10.48550/arXiv.2310.15455
Akses
Open Access ✓