Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

The advancement of large language models (LLMs) has significantly enhanced the ability to
effectively tackle various downstream NLP tasks and unify these tasks into generative …

Recent years have witnessed remarkable progress made in large language models (LLMs).
Such advancements, while garnering significant attention, have concurrently elicited various …

The increasing demand for customized Large Language Models (LLMs) has led to the
development of solutions like GPTs. These solutions facilitate tailored LLM creation via …

Large Language Models (LLMs) are increasingly deployed as the backend for a variety of
real-world applications called LLM-Integrated Applications. Multiple recent works showed …

Given the rapid ascent of large language models (LLMs), we study the question:(How) can
large language models help in reviewing of scientific papers or proposals? We first conduct …

The jailbreak threat poses a significant concern for Large Language Models (LLMs),
primarily due to their potential to generate content at scale. If not properly controlled, LLMs …

Large Language Models (LLMs) have demonstrated extraordinary capabilities and
contributed to multiple fields, such as generating and summarizing text, language …

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 …