In a performance comparison on the PRIMATE dataset, the knowledge-powered CREST framework showed an improvement of 6% in PHQ-9 answerability and 21% in BLEURT scores compared to GPT-3.5.

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 (3)

• CREST framework concept
• GPT 3.5 concept
• PHQ-9 concept