
Lrq-Fact is a novel automated framework that enhances multimodal fact-checking by using LLMs and VLMs to generate relevant questions about both the textual and visual content, improving detection accuracy and providing transparent rationales for its veracity assessments.


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LRQ-Fact: A Framework for Multimodal Fact-Checking Using LLM-Generated Questions


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Introducing Relevant Evidence Detection in Multimodal Fact-Checking to improve accuracy and performance.


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RED-DOT: Multimodal Fact-Checking with Relevant Evidence Detection
