Saurabh Paul, Christos Boutsidis, et al.
JMLR
We present LLM Store, a plugin of a Wikidata-based knowledge integration framework (called KIF) that can be used for knowledge base completion via pre-trained language models in real-time. The LLM Store is one of the participants of the LM-KBC Challenge @ ISWC 2024. This paper describes the implementation of LLM Store, its adaptation to the LM-KBC Challenge, and an analysis of its overall performance — it achieved a macro averaged F1-score of 90.83% in the challenge. One of the key features of LLM Store's approach is a context generation module which uses the external ids and sitelinks in Wikidata to generate textual context for a particular query on-the-fly. The code of LLM Store is available at https://github.com/IBM/kif-llm-store/tree/lm-kbc-challenge.
Saurabh Paul, Christos Boutsidis, et al.
JMLR
C.A. Micchelli, W.L. Miranker
Journal of the ACM
Joxan Jaffar
Journal of the ACM
Kenneth L. Clarkson, Elad Hazan, et al.
Journal of the ACM