HaluBench
Not in model cards
Models judge whether an answer is faithful to its context across about 15,000 labeled context, question and answer triplets. It tests hallucination detectors and LLM judges.
Released with Patronus's Lynx hallucination detection model. Examples come from existing QA datasets and include finance and medicine domains.
- Level
- University Undergraduates and entry-level professionals
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Multiple choice
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for HaluBench yet.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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