Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking

Researchers propose WKGFC, a system that uses an authorized open knowledge graph and web content retrieval to enhance fact-checking accuracy by capturing multi-hop semantic relations. This approach leverages large language models in a Markov Decision Process framework to retrieve structured evidence, improving the reliability of veracity predictions for claims. Content creators should focus on integrating robust evidence retrieval methods to combat misinformation effectively.

Read the full article at arXiv cs.AI (Artificial Intelligence)

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