The paper 'Uncertainty Quantification in LLMs: A Survey,' published by ACM, provides a comprehensive overview of methods for quantifying uncertainty in large language models.

Authors

• Person: Not available Organization: Zylos
  LLM Hallucination Detection and Mitigation: State of the Art in 2026

Sources

• LLM Hallucination Detection and Mitigation: State of the Art in 2026 zylos.ai Zylos via serper

Referenced by nodes (2)

• Uncertainty quantification concept
• ACM entity