Indexing the paper with some of the strategy of the paper implemented in the indexing. system> User entered, `what are knowledge graphs and how does the paper

Indexing the paper with some of the strategy of the paper implemented in the indexing. system> User entered, `what are knowledge graphs and how does the paper describe using them?`. bot> Knowledge graphs are data structures that represent entities and their relationships in a structured manner. In the paper, the authors propose a method called Knowledge Graph Prompting (KGP) for Multi-Document Question Answering (MD-QA). They create a knowledge graph over multiple documents, where nodes represent passages or document structures (such as pages or tables), and edges represent the semantic or lexical similarity between passages or the intra-document structural relations. The constructed graph acts as a global ruler to regulate the transitional space among passages and reduce retrieval latency. It also serves as a prompt for Language Models (LLMs), assisting them in answering questions by providing contextual information. The authors demonstrate through experiments that leveraging knowledge graphs enhances the prompt design for LLMs in MD-QA.