claim
Hallucination detection involves checking the factuality of LLM-generated responses against a set of references, which requires addressing three questions: how and where to find references, the level of detail for checking responses, and how to categorize claims in the responses.
Authors
Sources
- New tool, dataset help detect hallucinations in large language models www.amazon.science via serper
Referenced by nodes (1)
- hallucination detection concept