AI BENCHMARK PROFILE

MMT-Bench

General AIMultimodal Perception

MMT-Bench is a comprehensive multimodal benchmark for evaluating Large Vision-Language Models towards multitask AGI. It comprises 31,325 meticulously curated multi-choice visual questions from various multimodal scenarios such as vehicle driving and embodied navigation, covering 32 core meta-tasks and 162 subtasks in multimodal understanding.

Released: Unknown
Readiness: Paper only
Primary field: General AI

Primary resources

Paper ↗

Benchmark Radar records only publicly supported details and links back to primary sources for verification.