RASR retrieves cross-instance semantic evidence and uses domain priors to drive multimodal LLM reasoning for improved fake news video detection on FakeSV and FakeTT datasets.
Re-search for the truth: Multi-round retrieval-augmented large language models are strong fake news detectors
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A survey proposing a holistic GraphRAG framework with components including query processor, retriever, organizer, generator, and data source, plus domain-tailored reviews, challenges, and future directions.
citing papers explorer
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RASR: Retrieval-Augmented Semantic Reasoning for Fake News Video Detection
RASR retrieves cross-instance semantic evidence and uses domain priors to drive multimodal LLM reasoning for improved fake news video detection on FakeSV and FakeTT datasets.
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Retrieval-Augmented Generation with Graphs (GraphRAG)
A survey proposing a holistic GraphRAG framework with components including query processor, retriever, organizer, generator, and data source, plus domain-tailored reviews, challenges, and future directions.