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OpenCompass Hub
MMIR
A benchmark for evaluating Multimodal Large Language Models (MLLMs) on detecting and reasoning about inconsistencies in layout-rich multimodal content. MMIR features 534 challenging samples across five reasoning-heavy inconsistency categories.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- University of California, eBay
- Benchmark release
- 2025-02-22
- 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.