Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing

arXiv:2402.18909v1 Announce Type: new
Abstract: Knowledge editing aims to inject knowledge updates into language models to keep them correct and up-to-date. However, its current evaluation strategies are notably impractical: they solely update with well-curated structured facts (triplets with subjects, relations, and objects), whereas real-world knowledge updates commonly emerge in unstructured texts like news articles. In this paper, we propose a new benchmark, Unstructured Knowledge Editing (UKE). It evaluates editing performance directly using unstructured texts as knowledge updates, termed unstructured facts. …

abstract arxiv cs.ai cs.cl current editing evaluation facts knowledge language language models objects practical relations strategies them type unstructured update updates world