The RefChecker benchmark dataset covers three distinct settings: zero context (LLMs generate answers without reference texts), noisy context (LLMs are provided with retrieved documents that may contain inaccurate information, typical of RAG systems), and accurate context (LLMs are provided with one accurate document).

Authors

• Person: Not available Organization: Amazon Science
  New tool, dataset help detect hallucinations in large language models

Sources

• New tool, dataset help detect hallucinations in large language models www.amazon.science Amazon Science via serper

Referenced by nodes (2)

• Retrieval-Augmented Generation (RAG) concept
• RefChecker concept