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OpenCompass Hub
MedHallu
MedHallu is a comprehensive benchmark dataset designed to evaluate the ability of large language models to detect hallucinations in medical question-answering tasks.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- University of Texas at Austin, UNC Chapel Hill, Drexel University
- Benchmark release
- 2025-02-20
- Collected
- 2026-08-18
- Modality
- Not recorded
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 0
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.