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jameshensman merged 1 commit into from
Aug 13, 2025
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Update README.md #88

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Expand Up @@ -5,7 +5,7 @@ This repo contains the official implementation of [KBLaM: Knowledge Base Augment
Authors: Xi Wang, Liana Mikaelyan, Taketomo Isazawa, Mathew Salvaris, James Hensman.

KBLaM is a new method for augmentating LLMs with external knowledge.
Unlike Retrieval-Augmented Generation, KBLAM eliminates external
Unlike Retrieval-Augmented Generation, KBLaM eliminates external
retrieval modules, and unlike in-context learning, its computational overhead scales linearly with KB size rather than quadratically.

## Supported Models
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