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TrumorGPT: Query Optimization and Semantic Reasoning over Networks for Automated Fact-Checking

A generative AI solution for automated fact-checking that merges machine learning with natural language processing techniques.

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TrumorGPT: Query Optimization and Semantic Reasoning over Networks for Automated Fact-Checking

By Ching Nam Hang, Pei-Duo Yu, Chee Wei Tan
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The paper introduces TrumorGPT, a novel framework for automated fact-checking. It leverages a large language model with few-shot learning and retrieval-augmented generation to access updated knowledge graphs.

This approach aims to combat misinformation by providing accurate and reliable information promptly.

Abstract

The paper introduces TrumorGPT, a novel framework for automated fact-checking. It leverages a large language model with few-shot learning and retrieval-augmented generation to access updated knowledge graphs. This approach aims to combat misinformation by providing accurate and reliable information promptly.

A

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automated fact-checkinggenerative AIknowledge graph constructionsemantic reasoningLarge Language ModelsRetrieval & RAGSemantic InteroperabilityOntology & Taxonomy
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