On-device large language models (LLMs), referring to running LLMs on edge devices, have
raised considerable interest since they are more cost-effective, latency-efficient, and privacy …

The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …

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 …

Recent 3D large reconstruction models (LRMs) can generate high-quality 3D content in sub-
seconds by integrating multi-view diffusion models with scalable multi-view reconstructors …

To enhance the efficiency of language models, it would involve optimizing their training and
inference processes to reduce computational demands while maintaining high performance …

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

This study embarks on an exploration of the performance disparities observed between
English and Chinese in large language models (LLMs), motivated by the growing need for …

The proliferation of wearable technology enables the generation of vast amounts of sensor
data, offering significant opportunities for advancements in health monitoring, activity …

This study investigates the application of model compression and knowledge distillation
techniques to enhance the computational efficiency of LLama 2, a Large Language Model …

Large language models (LLM) have undergone significant transformations through the
application of knowledge distillation techniques aimed at enhancing performance on …