Update README.md

README.md

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 license: odc-by
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-#### Mind2Web training set for the paper: [Harnessing Webpage Uis For Text Rich Visual Understanding]()
+#### Mind2Web training set for the paper: [Harnessing Webpage Uis For Text Rich Visual Understanding](https://arxiv.org/abs/2410.13824)
 
-🌐 [Homepage](https://neulab.github.io/MultiUI/) | 🐍 [GitHub](https://github.com/neulab/multiui) | 📖 [arXiv]()
+🌐 [Homepage](https://neulab.github.io/MultiUI/) | 🐍 [GitHub](https://github.com/neulab/multiui) | 📖 [arXiv](https://arxiv.org/abs/2410.13824)
 
 ## Introduction
 We introduce **MultiUI**, a dataset containing 7.3 million samples from 1 million websites, covering diverse multi- modal tasks and UI layouts. Models trained on **MultiUI** not only excel in web UI tasks—achieving up to a 48% improvement on VisualWebBench and a 19.1% boost in action accuracy on a web agent dataset Mind2Web—but also generalize surprisingly well to non-web UI tasks and even to non-UI domains, such as document understanding, OCR, and chart interpretation. 
@@ -16,4 +16,15 @@ We introduce **MultiUI**, a dataset containing 7.3 million samples from 1 millio
 * Xiang Yue: xyue2@andrew.cmu.edu
 
 ## Citation
-If you find this work helpful, please cite out paper:
+If you find this work helpful, please cite out paper:
+````
+@misc{liu2024harnessingwebpageuistextrich,
+      title={Harnessing Webpage UIs for Text-Rich Visual Understanding}, 
+      author={Junpeng Liu and Tianyue Ou and Yifan Song and Yuxiao Qu and Wai Lam and Chenyan Xiong and Wenhu Chen and Graham Neubig and Xiang Yue},
+      year={2024},
+      eprint={2410.13824},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2410.13824}, 
+}
+````