[2412.03772] A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices

Computer Science > Artificial Intelligence arXiv:2412.03772 (cs) This paper has been withdrawn by Lianjun Liu [Submitted on 4 Dec 2024 (v1), last revised 1 Mar 2026 (this version, v2)] Title:A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices Authors:Lianjun Liu, Hongli An, Pengxuan Chen, Longxiang Ye View a PDF of the paper titled A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices, by Lianjun Liu and 3 other authors No PDF available, click to view other formats Abstract:With the rapid development of large language models (LLMs), which possess powerful natural language processing and generation capabilities, LLMs are poised to provide more natural and personalized user experiences. Their deployment on mobile devices is gradually becoming a significant trend in the field of intelligent devices. LLMs have demonstrated tremendous potential in applications such as voice assistants, real-time translation, and intelligent recommendations. Advancements in hardware technologies (such as neural network accelerators) and network infrastructure (such as 5G) have enabled efficient local inference and low-latency intelligent responses on mobile devices. This reduces reliance on cloud computing while enhancing data privacy and security. Developers can easily integrate LLM functionalities through open APIs and SDKs, enabling the creation of more innovative intelligent applications. The widespread use of LLMs...