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Large Vision-Language Model Evaluation on DRBench S Subset

47.22MCQ AccuracyM3ID
37.735240.197642.6645.1224Mar 8, 2026

Evaluation results

MethodLinks
M3IDBase Model=Qwen2-VL2026.0347.2241.1643.87
SCI5Base Model=Qwen2-VL2026.0347.2242.4444.58
SCI7Base Model=Qwen2-VL2026.0347.2245.9846.54
VCDBase Model=Qwen2-VL2026.0346.8340.8443.52
TIEBase Model=Qwen2-VL2026.0345.6336.6640.67
SCI3Base Model=Qwen2-VL2026.0344.0542.4443.16
SCI5Base Model=LLaVA-NeXT2026.0340.660.6547.95
VCDBase Model=LLaVA-NeXT2026.0340.556.5346.38
SCI7Base Model=LLaVA-NeXT2026.0340.160.6547.64
M3IDBase Model=LLaVA-NeXT2026.0339.956.3645.94
SCI3Base Model=LLaVA-NeXT2026.0339.660.3147.2
LLaVA-NeXTBase Model=LLaVA-NeXT2026.0339.237.6338.63
TIEBase Model=LLaVA-NeXT2026.033957.5645.81
Qwen2-VLBase Model=Qwen2-VL2026.0338.134.4136.06