Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...
In the current climate, generic and expensive programs to promote diversity, equity, and inclusion—for example, trainings—are increasingly falling out of favor. In fact, most of the existing research ...
Abstract: To address the challenges of semantic parsing of multi-source heterogeneous information and the delayed emergency response decisions caused by insufficient relational reasoning capabilities ...
Fundamental knowledge in the life sciences has consequential implications for medicine and subsequent medical innovations. Using publications in leading life science journals to measure fundamental ...
Introduction First Nations communities in Canada are disproportionately impacted by prenatal opioid exposure (POE) and neonatal abstinence syndrome (NAS). In response, we developed a research ...
Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong ...
Abstract: Knowledge graphs (KGs) are popularly used to develop several intelligent applications. Revealing valuable knowledge hidden in these graphs opened up a branch of research, known as KG ...
With a passion for technology and making information easily accessible—and manageable—for everyone, Saravana Kumar, Founder and CEO of Document360, launched his first software product from the living ...
In this paper, we propose Knowledge Base augmented Language Model (KBLaM), a new method for augmenting Large Language Models (LLMs) with external knowledge. KBLaM works with a knowledge base (KB) ...
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