The CREST framework evaluates explainability through two approaches: analyzing the 'Knowledge Concept to Word Attention Map' to verify alignment with domain knowledge, and using knowledge concepts and domain-specific decision guidelines to enable LLMs to generate human-understandable explanations.

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 (2)

• Large Language Models concept
• CREST framework concept