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Multimodal Reasoning on MMMU (Efficiency and Performance Metrics)

57.1MMMU ScoreDPA-Qwen3-32B
31.93238.4664551.534Mar 28, 2025Jun 4, 2025Aug 12, 2025Oct 20, 2025Dec 27, 2025Mar 6, 2026May 14, 2026

Evaluation results

MethodLinks
DPA-Qwen3-32BTarget LLM=Qwen3-32B2026.0557.1———
LLaVA-NeXT-Qwen3-32BTarget LLM=Qwen3-32B2026.0556.9———
FastMMoE*Retention Ratio (Vision Tokens)=75%2025.1151.5672.490.1921.09
FastMMoE†Retention Ratio (Vision Tokens)=50%, lv=2, Kv=22025.1151.5670.572.1161.76
FastMMoE†Retention Ratio (Vision Tokens)=75%, lv=10, Kv=22025.1151.44720.6839.15
BaselineRetention Ratio (Vision Tokens)=100%2025.1151.3372.6800
SparseVLMRetention Ratio (Vision Tokens)=75%2025.1151.1171.720.96—
FastMMoE*Retention Ratio (Vision Tokens)=50%2025.1151.1171.940.7443.07
FastVRetention Ratio (Vision Tokens)=50%2025.115171.910.77—
FastVRetention Ratio (Vision Tokens)=75%2025.1150.6772.180.5—
FastVRetention Ratio (Vision Tokens)=25%2025.1150.5670.022.65—
FastMMoE*Retention Ratio (Vision Tokens)=25%2025.1150.5670.322.3663.66
DPA-Qwen3-4BTarget LLM=Qwen3-4B2026.0550———
LLaVA-NeXT-Qwen3-4BTarget LLM=Qwen3-4B2026.0549.9———
SparseVLMRetention Ratio (Vision Tokens)=50%2025.1149.3370.312.37—
SparseVLMRetention Ratio (Vision Tokens)=25%2025.1148.1166.616.07—
Idefics2-8BTarget LLM=Public Models2026.0543.1———
Qwen2-VL-2BTarget LLM=Public Models2026.0541.1———
Cambrian-1-8BTarget LLM=Public Models2026.0540.8———
DPA-LLaMA-3.2-3BTarget LLM=LLaMA-3.2-3B2026.0537.8———
UnicornText-only=true, Pretrain Scale=1.2M2025.0336.87———
LLaVA-NeXT-7BTarget LLM=Public Models2026.0535.1———
LLaVA-1.5-7BTarget LLM=Public Models2026.0534.9———
BunnyText-only=false, Pretrain Scale=1.2M2025.0334.62———
Unicorn*Text-only=true, Pretrain Scale=558K2025.0334.23———
LLaVA-1.5Text-only=false, Pretrain Scale=558K2025.0333.16———
LLaVA-NeXT-LLaMA-3.2-3BTarget LLM=LLaMA-3.2-3B2026.0532.9———