Analyzing the distribution of error types across LLM responses allows for targeted hallucination mitigation, such as restricting the number of dialogue turns if a high frequency of contradictory claims is linked to long conversation histories.

Authors

• Person: Not available Organization: Amazon Science
  Automating hallucination detection with chain-of-thought reasoning

Sources

• Automating hallucination detection with chain-of-thought reasoning www.amazon.science Amazon Science via serper

Referenced by nodes (1)

• hallucination mitigation concept