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Related work #2

@xidulu

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@xidulu

Hi

Very cool framework, and I like this direction a lot!

Just want to point out that in KBLaM, we considered a similiar approach for augmenting external memory into pre-trained LLM:

https://arxiv.org/abs/2410.10450

https://www.microsoft.com/en-us/research/blog/introducing-kblam-bringing-plug-and-play-external-knowledge-to-llms/

where we concat the KV of compressed external knowledge in front of the input text's QKV for knowledge augmentation (using attention as the retrieval mechanism).

There are also some follow-up works that try to further imporve the scalability, e.g. https://arxiv.org/abs/2510.17934

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