RAGAR, Your Falsehood RADAR: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models

arXiv:2404.12065v1 Announce Type: new
Abstract: The escalating challenge of misinformation, particularly in the context of political discourse, necessitates advanced solutions for fact-checking. We introduce innovative approaches to enhance the reliability and efficiency of multimodal fact-checking through the integration of Large Language Models (LLMs) with Retrieval-augmented Generation (RAG)- based advanced reasoning techniques. This work proposes two novel methodologies, Chain of RAG (CoRAG) and Tree of RAG (ToRAG). The approaches are designed to handle multimodal claims by reasoning the next questions that …

abstract advanced arxiv challenge context cs.ai cs.cl cs.cy cs.et cs.ma discourse efficiency fact-checking integration language language models large language large language models llms misinformation multimodal political radar rag reasoning reliability retrieval retrieval-augmented solutions through type