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Verifying AI-Generated Data

Published on:

6 July 2023

Primary Category:

Databases

Paper Authors:

Nan Tang,

Chenyu Yang,

Ju Fan,

Lei Cao,

Yuyu Luo,

Alon Halevy

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Key Details

Proposes verifying generative AI outputs using multi-modal data lakes

Can help reduce risks like inaccurate decisions and spreading misinformation

Presents system VerifAI with indexer, reranker, and verifier modules

Shows feasibility through experiments on verifying generated tables and text

Discusses open problems like cross-modal data discovery and verification

AI generated summary

Verifying AI-Generated Data

This paper proposes verifying the outputs of generative AI models by analyzing and reasoning over supporting data from multi-modal data lakes. It aims to ensure the accuracy and reliability of AI-generated data.

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