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| title: GUI-Perturbed Baseline Results Viewer | |
| emoji: ๐ | |
| colorFrom: blue | |
| colorTo: gray | |
| sdk: docker | |
| app_port: 8501 | |
| tags: | |
| - GUI-Perturbed | |
| - GUI-DR | |
| - Domaine Randomization | |
| pinned: false | |
| short_description: Baseline results from 3 GUI grounding models using GUI-DR. | |
| # GUI-Perturbed: Baseline Results Viewer | |
| We evaluated three 7B grounding models that share a base checkpoint but differ in their post-training: Qwen2.5-VL-7B, UI-TARS-1.5-7B, and GTA1-7B. Using a common base lets us attribute the differences to the training recipe rather than the architecture. | |
| Each model ran against GUI-Perturbed, a dataset built by applying domain randomization (controlled, systematic variation) to real web pages preserved as MHTML archives. The variation runs along two independent axes: | |
| - **Appearance:** original, precision (70% browser zoom), style, and text-shrink. | |
| - **Instruction phrasing:** direct ("click the submit button") and relational ("click the button above the search bar"). | |
| In total the viewer holds 6,240 results per model. Our analysis on the results can be found in the technical write-up [here](https://www.fig.inc/blog/measuring-brittleness-in-gui-grounding-models-using-gui-perturbed/?utm_source=huggingface&utm_medium=readme&utm_campaign=guip-p2). | |
| ## How to read it | |
| Filter by model, perturbation type (visual/instructional), outcome, and whether reasoning was applied. Each result shows the original webpage, the perturbed variant, the results of each model's click, and whether it landed on the correct element. | |
| ## The rest of the work | |
| - [Technical Report](http://www.fig.inc/blog/gui-pertubed-breaking-browser-use-models/?utm_source=huggingface&utm_medium=readme&utm_campaign=guip-p2) | |
| - [GUI-DR Augmentation Pipeline](https://github.com/ManifoldRG/GUI-DR) | |
| - [GUI-Perturbed Dataset](https://huggingface.co/datasets/figai/GUI-Perturbed) | |
| ## Citation | |
| ```bibtex | |
| @online{measuring_gui_models_robustness_technical_report_2026, | |
| title = {Measuring Brittleness in GUI Grounding Models using GUI-Perturbed}, | |
| author = {Yangyue Wang and Harshvardhan Sikka and Yash Mathur and Tony Zhou and Jinu Nyachhyon and Pranav Guruprasad}, | |
| year = {2026}, | |
| url = {www.fig.inc/blog/measuring-brittleness-in-gui-grounding-models-using-gui-perturbed/}, | |
| note = {Part 2: Baseline evaluation} | |
| } | |
| ``` | |
| ```bibtex | |
| @misc{wang2026guiperturbeddomainrandomizationreveals, | |
| title={GUI-Perturbed: Domain Randomization Reveals Systematic Brittleness in GUI Grounding Models}, | |
| author={Yangyue Wang and Harshvardhan Sikka and Yash Mathur and Tony Zhou and Jinu Nyachhyon and Pranav Guruprasad}, | |
| year={2026}, | |
| eprint={2604.14262}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.LG}, | |
| url={https://arxiv.org/abs/2604.14262}, | |
| } | |
| ``` | |