2025
CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
NeurIPS 2025poster
Mobile agents rely on Large Language Models (LLMs) to plan and execute tasks on smartphone user interfaces (UIs). While cloud-based LLMs achieve high task accuracy, they require uploading the full UI state at every step, exposing unnecessary and often irrelevant information. In contrast, local LLMs…