The advent of large language models (LLMs) revolutionized natural language processing
applications, and running LLMs on edge devices has become increasingly attractive for …

Large language models (LLM) have demonstrated emergent abilities in text generation,
question answering, and reasoning, facilitating various tasks and domains. Despite their …

As large language models (LLMs) increasingly integrate into every aspect of our work and
daily lives, there are growing concerns about user privacy, which push the trend toward local …

Recently, the rapid advancements of AI technologies and mobile computing have led to the
growing prevalence of smart devices and rising demands for on-device Deep Learning …

This paper investigates adaptive transmission strategies in embodied AI-enhanced
vehicular networks by integrating large language models (LLMs) for semantic information …

While small language models (SLMs) show promises for mobile deployment, their real-world
performance and applications on smartphones remains underexplored. We present SlimLM …

Large language models (LLMs) have transformed the landscape of natural language
processing, yet personalization remains a key challenge, particularly in terms of scalability …