Transformers have achieved great success in many artificial intelligence fields, such as
natural language processing, computer vision, and audio processing. Therefore, it is natural …

Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …

Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …

Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …

Code summaries help developers comprehend programs and reduce their time to infer the
program functionalities during software maintenance. Recent efforts resort to deep learning …

Transformers have dominated empirical machine learning models of natural language
processing. In this paper, we introduce basic concepts of Transformers and present key …

Procuring expressive molecular representations underpins AI-driven molecule design and
scientific discovery. The research mainly focuses on atom-level homogeneous molecular …

An emerging direction of quantum computing is to establish meaningful quantum
applications in various fields of artificial intelligence, including natural language processing …

Recently, self-attentive models have shown promise in sequential recommendation, given
their potential to capture user long-term preferences and short-term dynamics …

Due to the ever-increasing threat of cyber-attacks to critical cyber infrastructure,
organizations are focusing on building their cybersecurity knowledge base. A salient list of …