Uncertainty-based methods for hallucination detection in large language models include Perplexity (Ren et al., 2023), Length-Normalized Entropy (LN-Entropy) (Malinin and Gales, 2021), and Semantic Entropy (SemEntropy) (Farquhar et al., 2024), which utilize multiple generations to capture sequence-level uncertainty.

Authors

• Person: Not available Organization: arXiv
  Re-evaluating Hallucination Detection in LLMs - arXiv

Sources

• Re-evaluating Hallucination Detection in LLMs - arXiv arxiv.org arXiv via serper

Referenced by nodes (4)

• Large Language Models concept
• Perplexity concept
• semantic entropy concept
• hallucination detection concept