The Hughes Hallucination Evaluation Model (HHEM) is a Transformer model trained by Vectara to distinguish between hallucinated and correct responses from various Large Language Models across different context and response data.

Authors

• Person: Not available Organization: Cleanlab
  Real-Time Evaluation Models for RAG: Who Detects Hallucinations ...

Sources

• Real-Time Evaluation Models for RAG: Who Detects Hallucinations ... cleanlab.ai Cleanlab via serper

Referenced by nodes (3)

• Large Language Models concept
• Vectara entity
• Transformer models concept