AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

OmniVideoBench

1,000 audio-visual reasoning questions over 628 videos (seconds to 30 minutes long), targeting synergistic audio-visual understanding in Omni MLLMs, by the NJU-LINK team; an ICLR 2026 poster. Video length and audio-video correlation vary widely, so per-model results depend heavily on which subset is sampled and on frame/audio chunking strategy.

Evaluation context and evidence

Source
Model reports
Publisher
Not recorded
Benchmark release
2025-10-12
Collected
Not recorded
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.