This podcast was created entirely by AI and based on the following research paper:<ul><li>Title: <a href='https://arxiv.org/pdf/2409.14683'>Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling</a></li><li>Source: arXiv</li><li>Authors: Benjamin Clavié et al.</li><li>Published Date: 2024-09-23</li></ul>Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper:Title: Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token PoolingSource: arXivAuthors: Benjamin Clavié et al.Published Date: 2024-09-23Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper:<ul><li>Title: <a href="https://arxiv.org/pdf/2409.14683" rel="noopener noreferrer">Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling</a></li><li>Source: arXiv</li><li>Authors: Benjamin Clavié et al.</li><li>Published Date: 2024-09-23</li></ul>Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

Shrinking Data Size, Preserving Quality

Embark on an exhilarating knowledge quest with "Paper-to-Podcast," where our ingenious AI effortlessly transforms complex research papers into captivating audio adventures! Everything you hear is produced using AI systems, so expect plenty of wonderful weirdness along the way. Visit https://www.paper2podcast.com for more information and fascinating papers.

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Embark on an exhilarating knowledge quest with "Paper-to-Podcast," where our ingenious AI effortlessly transforms complex research papers into captivating audio adventures! Everything you hear is produced using AI systems, so expect plenty of wonderful weirdness along the way. Visit https://www.paper2podcast.com for more information and fascinating papers.

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Shrinking Data Size, Preserving Quality

Shrinking Data Size, Preserving Quality