Hallucinations in Large Language Models are categorized into two main types: factuality hallucinations, which emphasize the discrepancy between generated content and verifiable real-world facts, and faithfulness hallucinations, which refer to the divergence of generated content from user instructions, provided context, or self-consistency.

Authors

• Person: Not available Organization: GitHub
  EdinburghNLP/awesome-hallucination-detection - GitHub
• Person: Not available Organization: Hugging Face
  The Hallucinations Leaderboard, an Open Effort to Measure ...

Sources

• EdinburghNLP/awesome-hallucination-detection - GitHub github.com GitHub via serper
• The Hallucinations Leaderboard, an Open Effort to Measure ... huggingface.co Hugging Face via serper

Referenced by nodes (1)

• Large Language Models concept