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Multimodal Reasoning on MME-RW

53.8AccuracyMVH-RL
13.03223.61634.244.784May 31, 2026Jun 1, 2026Jun 3, 2026Jun 5, 2026Jun 6, 2026Jun 8, 2026Jun 10, 2026

Evaluation results

MethodLinks
MVH-RLSetting=Our Model2026.0553.869.7
Monet-SFTSetting=Open-Source Baseline2026.0552.966.5
Qwen2.5-VL-7B + SFT + GRPOSetting=Open-Source Baseline2026.0552.466.9
GPT-4oSetting=Proprietary Model2026.055258.5
Qwen2.5-VL-7B + vanilla SFTSetting=Open-Source Baseline2026.0551.365.8
Monet-RLSetting=Open-Source Baseline2026.0551.267.6
ILVR-Stage2Setting=Open-Source Baseline2026.0550.467
MVH-SFTSetting=Our Model2026.0550.467.8
ILVR-Stage1Setting=Open-Source Baseline2026.0549.266.6
Qwen2.5-VL-7BSetting=Open-Source Baseline2026.0545.863.5
TASMExample Number=20, Average Context Length=14372026.0643.5—
EMLoC (Qwen2-VL)Example Number=20, Average Context Length=15102026.0642.2—
MLoC (Qwen2-VL)Example Number=20, Average Context Length=73932026.0641.1—
MLoC (Qwen2-VL)Example Number=5, Average Context Length=19242026.0639.4—
MiniCPM-V2.6 (8B)Example Number=02026.0637.2—
Qwen2-VL (7B)Example Number=02026.0636.6—
InternVL2 (8B)Example Number=02026.0633.9—
Llava1.5 (7B)Example Number=02026.0628.2—
Llama3.2-V (11B)Example Number=02026.0614.6—