Mobile task automation is an attractive technique that aims to enable voice-based hands-
free user interaction with smartphones. However, existing approaches suffer from poor …

Large language models (LLMs) have demonstrated great success in various fields,
benefiting from their huge amount of parameters that store knowledge. However, LLMs still …

Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …

Large Language Models (LLMs) have attracted extensive attention due to their remarkable
performance across various tasks. However, the substantial computational and memory …

In today's landscape, smartphones have evolved into hubs for hosting a multitude of deep
learning models aimed at local execution. A key realization driving this work is the notable …

Large language models (LLMs) have empowered intelligent agents to execute intricate
tasks within domain-specific software such as browsers and games. However, when applied …

Large Language Models (LLMs) have demonstrated great potential in complex reasoning
tasks, yet they fall short when tackling more sophisticated challenges, especially when …

Large language model (LLM) based agents have recently attracted much attention from the
research and industry communities. Compared with original LLMs, LLM-based agents are …

Mobile task automation is an attractive technique that aims to enable voice-based hands-
free user interaction with smartphones. However, existing approaches suffer from poor …

Being more powerful and intrusive into user-device interactions, LLMs are eager for on-
device execution to better preserve user privacy. In this work, we propose a new paradigm of …