LLM for Mobile: An Initial Roadmap

  • Daihang Chen
  • , Yonghui Liu
  • , Mingyi Zhou
  • , Yanjie Zhao
  • , Haoyu Wang
  • , Shuai Wang
  • , Xiao Chen
  • , Tegawendé F. Bissyandé
  • , Jacques Klein
  • , Li Li*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 apply 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.

Original languageEnglish
Article number128
JournalACM Transactions on Software Engineering and Methodology
Volume34
Issue number5
DOIs
StatePublished - 24 May 2025

Keywords

  • LLM
  • Mobile
  • On-device model
  • Security

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