Knowledge-infused Ensemble is a methodology where general-purpose or domain-specific knowledge modulates the latent representations of Large Language Models (LLMs) to improve outcomes, rather than simply averaging outcomes from black-box LLMs.

Authors

• Person: Not available Organization: arXiv
  Building Trustworthy NeuroSymbolic AI Systems - arXiv

Sources

• Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org arXiv via serper

Referenced by nodes (1)

• Large Language Models concept