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OpenCompass Hub
MJ-Bench
MJ-Bench incorporates a comprehensive preference dataset to evaluate multimodal judges in providing feedback for image generation models across four key perspectives: alignment, safety, image quality, and bias.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- UNC-Chapel Hill, University of Chicago, Stanford University
- Benchmark release
- 2024-07-05
- Collected
- 2026-08-18
- Modality
- multimodal
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.