Knowledge

ERBench

ERBench: an Entity-Relationship based, automatically verifiable hallucination benchmark. Yes/no questions are generated from relational databases (functional dependencies and foreign keys) across five domains (movie, book, music, soccer/olympic, airport); each question has a deterministic gold answer and a model passes iff its answer matches it.

31,945items
8subjects
Unknownlicense
knowledgedomain
textmodality
item-level responses released
Saturation status: Unknown

Response matrix

Fit to width. Hover for subject & item; click a cell for details.

ERBench response matrix: AI models (rows) against items (columns)
Correct (1)Incorrect (0)Unobserved

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1GPT-3.5 (finetuned v2)0.8759
  2. 2GPT-3.5 (finetuned)0.7069
  3. 3Mistral0.5842
  4. 4GPT-40.4899
  5. 5Llama 20.4424
  6. 6GPT-3.50.4355
  7. 7Claude0.1556
  8. 8Gemini Pro0.1513