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Evaluating Verifiability in Generative Search Engines

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Evaluating Verifiability in Generative Search Engines
Paper summary

Audits popular generative search engines for citation accuracy.

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Key points
01

Human evaluation: Performs rigorous human evaluation of Bing Chat, Perplexity AI, and NeevaAI responses.

02

Citation failure rate: Finds only 52% of generated sentences are supported by citations and only 75% of citations actually support the claim.

03

Verifiability gap: Reveals a significant gap between generative search engines' citation promises and their actual reliability.

04

Trust-in-AI research: Important empirical foundation for subsequent research on grounded generation and RAG accuracy.

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