GAuGE produces highly relevant answers with significantly fewer hallucinated statements and higher fact verification scores compared to standard RAG-style generation, as measured by AUROC on the TriviaQA, NaturalQA, and WebQA datasets.

Authors

• Person: Not available Organization: GitHub
  EdinburghNLP/awesome-hallucination-detection - GitHub

Sources

• EdinburghNLP/awesome-hallucination-detection - GitHub github.com GitHub via serper

Referenced by nodes (2)

• RAG concept
• TriviaQA concept