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Gucongcong Fan

1 accepted papers

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…

Cited by 0SourcecodeScholar