HaluBench is a partially synthetic hallucination benchmarking dataset where negative examples (non-hallucinated answers) are derived from existing question answering benchmarks including HaluEval, DROP, CovidQA, FinanceBench, and PubMedQA.

Authors

• Person: Aritra Biswas, Noé Vernier Organization: Datadog
  Detecting hallucinations with LLM-as-a-judge: Prompt ... - Datadog

Sources

• Detecting hallucinations with LLM-as-a-judge: Prompt ... - Datadog www.datadoghq.com Aritra Biswas, Noé Vernier · Datadog via serper

Referenced by nodes (5)

• CovidQA concept
• DROP concept
• PubmedQA concept
• HaluEval concept
• FinanceBench concept