Summary of Mobilevlm: a Vision-language Model For Better Intra- and Inter-ui Understanding, by Qinzhuo Wu et al.
MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding
by Qinzhuo Wu, Weikai Xu, Wei Liu, Tao Tan, Jianfeng Liu, Ang Li, Jian Luan, Bin Wang, Shuo Shang
First submitted to arxiv on: 23 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed MobileVLM model addresses the limitations of pre-trained visual language models (VLMs) in recognizing specific UI elements and understanding intra-UI fine-grained information. By incorporating two additional pre-training stages, MobileVLM enhances both intra- and inter-UI understanding, allowing it to better perceive fine-grained elements and capture page transition actions. The model is evaluated on a large Chinese mobile dataset, Mobile3M, which contains 3 million UI pages and real-world transition actions, forming a directed graph structure. Experimental results show that MobileVLM outperforms existing VLMs on both the test set and public mobile benchmarks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Mobile AI agents are getting smarter! Researchers have been using special kinds of artificial intelligence called visual language models (VLMs) to help them understand what’s going on in our phones. But these models can be limited because they’re trained on general data, not specific phone data. That means they might struggle to recognize things like buttons and menus. To fix this, scientists created a new model called MobileVLM that helps VLMs better understand how our phones work. They did this by adding special training tasks that teach the model about different parts of our phones’ user interfaces (like buttons and menus). They also built a huge dataset of real phone screens to test their model. The results show that MobileVLM is way better at understanding phone stuff than other models! |
