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 …

Large language models have shown an impressive societal impact owing to their excellent
understanding and logical reasoning skills. However, such strong ability relies on a huge …

The widespread of Large Language Models (LLMs) marks a significant milestone in
generative AI. Nevertheless, the increasing context length and batch size in offline LLM …

Large language models (LLMs) play a crucial role in various Natural Language Processing
(NLP) tasks, prompting their deployment on mobile devices for inference. However, a …

Disaggregating the prefill and decoding phases represents an effective new paradigm for
generative inference of large language models (LLM), which eliminates prefill-decoding …

Both the training and use of Large Language Models (LLMs) require large amounts of
energy. Their increasing popularity, therefore, raises critical concerns regarding the energy …

Both the training and use of Large Language Models (LLMs) require large amounts of
energy. Their increasing popularity, therefore, raises critical concerns regarding the energy …

The rapid adoption of Large Language Models (LLMs) has furthered natural language
processing and helped text generation, question answering, and sentiment analysis …

There are several definitions for Smart Cities. One common key point of these definitions is
that smart cities are technologically advanced cities which connect everything in a complex …