Abstract Reasoning on knowledge graphs (KGs) is significant for downstream applications,
such as question answering and information extraction. On the basis of using factual triples …

Semantic networks, exemplified by the knowledge graph, serve as a means to represent
knowledge by leveraging the structure of a graph. While the knowledge graph exhibits …

We present a new challenge to examine whether large language models understand social
norms. In contrast to existing datasets, our dataset requires a fundamental understanding of …

Retrieval-augmented generation (RAG) is a framework enabling large language models
(LLMs) to enhance their accuracy and reduce hallucinations by integrating external …

Healthcare knowledge graphs (HKGs) are valuable tools for organizing biomedical concepts
and their relationships with interpretable structures. The recent advent of large language …

Abstract Knowledge Graphs (KGs) are large collections of structured data that can model
real world knowledge and are important assets for the companies that employ them. KGs are …