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Hauptverfasser: Chen, Daihang, Liu, Yonghui, Zhou, Mingyi, Zhao, Yanjie, Wang, Haoyu, Wang, Shuai, Chen, Xiao, Bissyandé, Tegawendé F., Klein, Jacques, Li, Li
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2407.06573
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author Chen, Daihang
Liu, Yonghui
Zhou, Mingyi
Zhao, Yanjie
Wang, Haoyu
Wang, Shuai
Chen, Xiao
Bissyandé, Tegawendé F.
Klein, Jacques
Li, Li
author_facet Chen, Daihang
Liu, Yonghui
Zhou, Mingyi
Zhao, Yanjie
Wang, Haoyu
Wang, Shuai
Chen, Xiao
Bissyandé, Tegawendé F.
Klein, Jacques
Li, Li
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2407_06573
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle LLM for Mobile: An Initial Roadmap
Chen, Daihang
Liu, Yonghui
Zhou, Mingyi
Zhao, Yanjie
Wang, Haoyu
Wang, Shuai
Chen, Xiao
Bissyandé, Tegawendé F.
Klein, Jacques
Li, Li
Software Engineering
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.
title LLM for Mobile: An Initial Roadmap
topic Software Engineering
url https://arxiv.org/abs/2407.06573