Relations (1)

related 0.20 — supporting 2 facts

Large Language Models are linked to reliability as a critical performance challenge [1] and as a core component of the trustworthiness framework proposed for these models [2].

Facts (2)

Sources
Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org arXiv 1 fact
claimThe authors propose the CREST framework for achieving trustworthiness in Large Language Models, which stands for Consistency, Reliability, user-level Explainability, and Safety.
LLM-empowered knowledge graph construction: A survey - arXiv arxiv.org arXiv 1 fact
claimDespite progress in using Large Language Models for Knowledge Graph construction, significant challenges remain in the areas of scalability, reliability, and continual adaptation.