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Multilingual Vision-Language Reasoning on MMBench Multilingual

89Accuracy (en)LaV-CoT-3B
56.7665.1373.581.87Sep 12, 2025

Evaluation results

MethodLinks
LaV-CoT-3Btraining=SFT + GRPO2025.098989.485.988.386.887.7—
Gemini-2.5-flash2025.0988.38986.184.285.888.1—
GPT-4o-2024-05-132025.0987.688.285.585.682.986.2—
LaV-CoT-3Btraining=SFT2025.0985.784.484.383.985.283.1—
InternVL3-8B2025.0985.585.683.279.275.982.6—
Qwen2.5-VL-7B2025.0985.385.88380.275.782.9—
InternVL3.5-8B2025.0984.585.780.982.875.882.3—
Eagle2-9B2025.0983.883.781.57875.181.1—
Qwen2-VL-7B2025.0981.881.679.175.674.579.3—
InternVL3-2B2025.0981.377.875.966.459.570.7—
Qwen2.5-VL-3B2025.0981.179.775.869.362.472.6—
InternVL3.5-2B2025.097976.574.364.463.172.2—
PARROT-7B2025.097877.176.775.97477.7—
LLaVA-OneVision-7B2025.0976.775.373.470.464.873.1—
Qwen2-VL-2B2025.0972.171.169.961.154.469.3—
DeepSeek-VL-7B2025.0970.76462.64847.965.5—
GLM-4v-9B2025.0967.961.36046.145.763—
Monkey-9.8B2025.095853.549.53131.345.1—