The majority of other information websites display prices from a single source, most of the time from one retail broker-dealer. At FXStreet, traders get interbank rates coming from a systematic ...
Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
Abstract: In order to respond to user queries, Large Language Models make use of unstructured text derived from a variety of sources and transform it into vectors. In particular, when the query is ...
This is the repository for the tutorial Biomedical Knowledge Graphs meet LLM. See the link here This tutorial focuses on the complementary nature of Biomedical Knowledge Graphs (KGs) and Large ...
We propose GraphEval to evaluate an LLM's performance using a substantially large test dataset. Specifically, the test dataset is retrieved from a large knowledge graph with more than 10 million facts ...
Introduction: Artificial intelligence (AI) has sparked a paradox in organizational behavior research: while it promises productivity gains, it simultaneously generates psychological strain and ...
Objective: Although the beneficial impact of motivational climate on adolescent sport participation is well-established, key questions remain unresolved regarding its hierarchical mechanism and the ...
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