LLM for Mobile: An Initial Roadmap
Daihang Chen, Yonghui Liu, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Shuai, Wang, Xiao Chen, Tegawend\'e F. Bissyand\'e, Jacques Klein, Li Li

TL;DR
This paper presents a research roadmap outlining six key directions for integrating large language models into mobile devices to enhance intelligent user experiences, highlighting current progress and future research gaps.
Contribution
It provides the first comprehensive roadmap for applying LLMs in mobile ecosystems, identifying urgent research directions and existing gaps.
Findings
Six research directions for mobile LLM integration
Summary of current progress in each direction
Identification of key research gaps
Abstract
When mobile meets LLMs, mobile app users deserve to have more intelligent usage experiences. For this to happen, we argue that there is a strong need to appl LLMs for the mobile ecosystem. We therefore provide a research roadmap for guiding our fellow researchers to achieve that as a whole. In this roadmap, we sum up six directions that we believe are urgently required for research to enable native intelligence in mobile devices. In each direction, we further summarize the current research progress and the gaps that still need to be filled by our fellow researchers.
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Taxonomy
TopicsMobile Agent-Based Network Management
