Unsupervised methods for detecting hallucinations in large language models estimate uncertainty using token-level confidence from single generations, sequence-level variance across multiple samples, or hidden-state pattern analysis.

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 (2)

• hallucination concept
• Large Language Models concept