SAFE Revolutionizing AI Fact Checking











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https://www.aimodels.fyi/papers/arxiv... • Large language models (LLMs) can make factual errors when responding to open-ended questions. • Researchers developed a benchmark called LongFact to evaluate the long-form factuality of LLMs across many topics. • They also proposed a method called SAFE to automatically evaluate the factuality of LLM responses using search results. • SAFE was found to outperform human annotators while being much more cost-effective. • The researchers benchmarked several LLM families on the LongFact dataset, finding that larger models generally perform better on long-form factuality.

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