Modern deep neural networks, particularly recent large language models, come with
massive model sizes that require significant computational and storage resources. To …

Large Language Models (LLMs) have demonstrated remarkable capabilities across various
fields, from natural language understanding to text generation. Compared to non-generative …

Large language models (LLMs) targeting different deployment scales and sizes are currently
produced by training each variant from scratch; this is extremely compute-intensive. In this …

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

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 …

Systematic reviews are a powerful tool to summarize the existing evidence in medical
literature. However, identifying relevant articles is difficult, and this typically involves …

The wide deployment of Large Language Models (LLMs) has given rise to strong demands
for optimizing their inference performance. Today's techniques serving this purpose primarily …

Periodontics is a complex field characterized by a constantly growing body of research,
which poses a challenge for researchers and stakeholders striving to stay abreast of the …

Large Language Models (LLMs) have revolutionized a wide range of domains such as
natural language processing, computer vision, and multi-modal tasks due to their ability to …

Periodontics is a complex field characterized by a constantly growing body of research,
posing a challenge for researchers and stakeholders striving to stay abreast of its evolving …