Hi-Agent: Hierarchical Vision-Language Agents for Mobile Device Control
#Hi-Agent #Vision-Language Models #Mobile Control #arXiv #Autonomous Agents #User Interface #Machine Learning
📌 Key Takeaways
- Researchers have developed Hi-Agent, a hierarchical vision-language agent for autonomous mobile device operation.
- The model addresses the 'generalization gap' where existing AI struggles with new or unseen user interfaces.
- Unlike standard models, Hi-Agent uses a high-level reasoning framework rather than direct state-to-action mapping.
- The system is designed to provide better structured planning and reasoning for complex mobile tasks.
📖 Full Retelling
🏷️ Themes
Artificial Intelligence, Mobile Technology, Interface Automation
📚 Related People & Topics
Machine learning
Study of algorithms that improve automatically through experience
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances i...
User interface
Means by which a user interacts with and controls a machine
In the industrial design field of human–computer interaction, a user interface (UI) is the space where interactions between humans and machines occur. The goal of this interaction is to allow effective operation and control of the machine from the human end, while the machine simultaneously feeds ba...
🔗 Entity Intersection Graph
Connections for Machine learning:
- 🌐 Large language model (11 shared articles)
- 🌐 Generative artificial intelligence (3 shared articles)
- 🌐 Computer vision (3 shared articles)
- 🌐 Medical diagnosis (2 shared articles)
- 🌐 Natural language processing (2 shared articles)
- 🌐 Artificial intelligence (2 shared articles)
- 🌐 Reasoning model (2 shared articles)
- 🌐 Transformer (1 shared articles)
- 👤 Stuart Russell (1 shared articles)
- 🌐 Ethics of artificial intelligence (1 shared articles)
- 👤 Susan Schneider (1 shared articles)
- 🌐 Knowledge graph (1 shared articles)
📄 Original Source Content
arXiv:2510.14388v2 Announce Type: replace Abstract: Building agents that autonomously operate mobile devices has attracted increasing attention. While Vision-Language Models (VLMs) show promise, most existing approaches rely on direct state-to-action mappings, which lack structured reasoning and planning, and thus generalize poorly to novel tasks or unseen UI layouts. We introduce Hi-Agent, a trainable hierarchical vision-language agent for mobile control, featuring a high-level reasoning model