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OpenCompass Hub
VLM2-Bench
VLM²-Bench is the first comprehensive benchmark that evaluates vision-language models' (VLMs) ability to visually link matching cues across multi-image sequences and videos. The benchmark consists of 9 subtasks with over 3,000 test cases.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- HKUST; CMU; MIT
- Benchmark release
- 2025-02-17
- 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.