AAAI 2026technical0 citations
SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention
Abstract
This paper proposes SR-KI, a novel approach for integrating real-time and large-scale structured knowledge bases (KBs) into large language models (LLMs). SR-KI begins by encoding KBs into key-value pairs using a pretrained encoder, and injects them into LLMs
BibTeX
@inproceedings{aaai2026_srkiscalableandr,
title = {SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention},
author = {Bohan Yu and Wei Huang and Kang Liu},
booktitle = {AAAI 2026},
year = {2026}
}