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[Feature Request]: Reducing tensor storage overhead through token pooling for any ColBERT-like late interaction models #1914

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yingfeng opened this issue Sep 24, 2024 · 1 comment
Open
1 task done

[Feature Request]: Reducing tensor storage overhead through token pooling for any ColBERT-like late interaction models #1914

yingfeng opened this issue Sep 24, 2024 · 1 comment
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@yingfeng
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Is there an existing issue for the same feature request?

  • I have checked the existing issues.

Is your feature request related to a problem?

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Describe the feature you'd like

https://arxiv.org/abs/2409.14683

Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling

Token pooling and binary quantization are orthogonal

Describe implementation you've considered

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Documentation, adoption, use case

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Additional information

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@yingfeng yingfeng added the feature request New feature or request label Sep 24, 2024
@yingfeng
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Another token pooling strategy:
https://www.answer.ai/posts/colbert-pooling.html

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