With the rapid advancement of artificial intelligence (AI) technology, the advertising industry
is at a crossroads of new opportunities and challenges. This pioneering study provides an in …

Language modeling studies the probability distributions over strings of texts. It is one of the
most fundamental tasks in natural language processing (NLP). It has been widely used in …

The unprecedented progress in artificial intelligence (AI), particularly in deep learning
algorithms with ubiquitous internet connected smart devices, has created a high demand for …

Large language models (LLMs) have exhibited remarkable efficacy and proficiency in a
wide array of NLP endeavors. Nevertheless, concerns are growing rapidly regarding the …

In the era of digitalization, the interaction between humans and machines, particularly in
Natural Language Processing, has gained crucial importance. This study focuses on …

Although backdoor learning is an active research topic in the NLP domain, the literature
lacks studies that systematically categorize and summarize backdoor attacks and defenses …

Recently, deep learning techniques have garnered substantial attention for their ability to
identify vulnerable code patterns accurately. However, current state-of-the-art deep learning …

Identifying vulnerabilities within source code remains paramount in assuring software quality
and security. This study introduces a refined semi-supervised learning methodology that …

The detection of vulnerabilities in source code is a critical task in software assurance. In this
work, we propose a semi-supervised learning approach that leverages pattern-exploiting …

In recent years, neural networks have become a common practice in academia for handling
complex problems. Numerous studies have indicated that complex problems can generally …