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Can LLM augmentation improve estimates from small samples?

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Independent intervention requires more than formal separation1 connected claim AI as support for participation and deliberation4 connected claims

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Can LLM augmentation improve estimates from small samples?

Can LLM augmentation improve estimates of aggregate policy preferences from small samples?

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Reported gains in small-sample aggregate estimates

Reports the preprint’s aggregate-estimation results for smaller samples.

Sources & further reading

Large Language Models (LLMs) as Agents for Augmented Democracy

Jairo F. Gudiño, Umberto Grandi, and César Hidalgo · 2024 preprint; retrieved version recorded in source snapshot

Full readable text of the retrieved 37-page preprint, including references and appendices. Figures are not independently interpreted.

Reference: Large Language Models (LLMs) as Agents for Augmented Democracy

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