Liu et al. (2023)

Evaluating Verifiability in Generative Search Engines

Findings of the Association for Computational Linguistics: EMNLP 2023, 7001-7025

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DOI

Reference

Liu, N., Zhang, T., & Liang, P. (2023). Evaluating Verifiability in Generative Search Engines. Findings of the Association for Computational Linguistics: EMNLP 2023, 7001-7025. https://doi.org/10.18653/v1/2023.findings-emnlp.467

What Rests on This

1 mechanism cites this source. Each finding below is quoted as it appears on that mechanism's own page.

Source Monitoring Metacognition

Measured in AI

For retrieved material, a human audit of four AI search engines found that only 51.5% of generated sentences were fully supported by their citations and 74.5% of citations supported the sentence they were attached to, so many claims were not backed by the source they were credited to