MMMU-Pro
robust multimodal understanding (10-option, vision-only variants)
Updated 43 min ago · first seen 11 Sept 2026
bench_01M293SPGKC0ETGNW8QVHM36C3
- Metric
- accuracy · %
- Direction
- —
- Results
- 0
- Leader
- —
Leaderboard 0 current results
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Definition
- Category
- multimodal
Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 43 min agomedium
- Task
- robust multimodal understanding (10-option, vision-only variants)
Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 43 min agomedium
- Metric
- accuracy · %
Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 43 min agomedium
- Paper
- https://arxiv.org/abs/2409.02813
Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 43 min agomedium
Each value shows its source, tier and observation time. Missing rows mean no source stated them. How results are recorded →
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As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Paper
Paperpaper1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| https://arxiv.org/abs/2409.02813 | → current | current | AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2 | medium | curated |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
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