Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
AI Research
arXiv CS.AI·Sep 10·5 min read
JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task Composition
TL;DR
JarvisGUI is a new benchmark designed to evaluate GUI agents on cross-device workflows, revealing significant performance gaps in state-of-the-art agents. It highlights the challenges of state transfer, contextual reasoning, and dependency management across different platforms.
✦ Why It Matters
Evaluate your GUI agents against JarvisGUI to identify and address their cross-device limitations today.
Key Takeaways
- Test GUI agents with JarvisGUI for cross-device capabilities.
- Focus on state transfer and contextual reasoning in agent design.
- Identify long-horizon dependencies in multi-step workflows.
- Utilize a lightweight type system for task formulation.
How It Works
JarvisGUI evaluates GUI agents by defining tasks as input-output transformations within a lightweight type system. This allows for the automatic composition of workflows that require coordination across different platforms, enabling a comprehensive assessment of agent performance in real-world scenarios.