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OpenCompass Hub
MM-AlignBench
A benchmark for evaluating MLLMs' alignment with human preferences. It includes 252 high-quality, human-annotated samples with diverse image types and open-ended questions. Modeled after Arena-style benchmarks, it uses GPT-4o as the judge model and Claude-Sonnet-3 as the reference model.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- Shanghai Jiaotong University,Shanghai AI Laboratory,etc.
- Benchmark release
- 2025-02-25
- 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.