LLM for Mobile: An Initial Roadmap
July 09, 2024 Β· Declared Dead Β· π ACM Transactions on Software Engineering and Methodology
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Authors
Daihang Chen, Yonghui Liu, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Shuai Wang, Xiao Chen, TegawendΓ© F. BissyandΓ©, Jacques Klein, Li Li
arXiv ID
2407.06573
Category
cs.SE: Software Engineering
Citations
17
Venue
ACM Transactions on Software Engineering and Methodology
Last Checked
4 months ago
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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