ToE is a hierarchical claim verification framework using RL-driven multi-source retrieval, evidence evaluation, and tree aggregation that reports 4-24 point gains over baselines especially on poisoned inputs.
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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ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation
ToE is a hierarchical claim verification framework using RL-driven multi-source retrieval, evidence evaluation, and tree aggregation that reports 4-24 point gains over baselines especially on poisoned inputs.
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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.