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---
license: cc-by-4.0
configs:
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---
# WebUIBench
Dataset for the paper: [WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code](https://arxiv.org/abs/2404.05955)
🏠 [Homepage](https://github.com/MAIL-Tele-AI/WebUIBench) | [**📖 arXiv**](https://arxiv.org/abs/2404.05955)
## Introduction
<!--  -->
We introduce WebUIBench, a large-scale and comprehensive benchmark designed to evaluate the WebUI-to-Code capabilities of Multimodal Large Language Models (MLLMs). WebUIBench comprises over **21K question-answer pairs** derived from more than **0.7K real-world websites**, encompassing **9 distinct subtasks**. We conducted extensive experiments on 7 state-of-the-art closed-source and 22 prominent open-source MLLMs. Our key findings highlight the models' deficiencies in webpage generation tasks across various dimensions, including cross-modality reasoning, element localization, and webpage layout generation.
## Contact
- Zhiyu Lin: [zyllin@bjtu.edu.cn](zyllin@bjtu.edu.cn)
- Zhengda Zhou: [zhengdazhou@smail.nju.edu.cn](zhengdazhou@smail.nju.edu.cn)
- Zhiyuan Zhao: [tuzixini@gmail.com](tuzixini@gmail.com)
# 🚩Citation
If you find this work is helpful, please kindly cite as follows. Thanks !
```bibtex
@article{webuibench,
title={WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code},
author={Zhiyu Lin, Zhengda Zhou, Zhiyuan Zhao, Tianrui Wan, Yilun Ma, Junyu Gao, XueLong Li},
journal={arXiv preprint arXiv:xx},
year={2025}
}
```
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