Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …

For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …

The prominent large language models (LLMs) of today differ from past language models not
only in size, but also in the fact that they are trained on a combination of natural language …

The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …

With the rise of large language models (LLMs), researchers are increasingly exploring their
applications in var ious vertical domains, such as software engineering. LLMs have …

As software becomes increasingly complex and prone to vulnerabilities, automated
vulnerability detection is critically important, yet challenging. Given the significant successes …

Security vulnerabilities are increasingly prevalent in modern software and they are widely
consequential to our society. Various approaches to defending against these vulnerabilities …

Vulnerability detection is essential for software quality assurance. In recent years, deep
learning models (especially large language models) have shown promise in vulnerability …

Recent advances of Large Language Models (LLMs), eg, ChatGPT, exhibited strong
capabilities of comprehending and responding to questions across a variety of domains …