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APPSim-Bench: Bridging Real-world Apps and Reproducible Evaluation for Mobile GUI Agents
Mobile GUI agents can execute tasks from natural-language instructions, but their evaluation remains difficult to make both realistic and reproducible. Existing benchmarks typically trade off these goals: simplified apps lack real-world mobile complexity, whereas live commercial apps introduce uncontrolled variation from recommendations, advertisements, accounts, and changing content. We propose AppSim-Bench, which addresses this trade-off through controllable simulated apps that preserve task-relevant interaction logic while supporting deterministic evaluation. Built through a coding-agent-as
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-07T16:25:13.000Z
First collected: 2026-09-20T20:32:20.942Z. This is not the publication date.