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@@ -64,7 +64,7 @@ The further pretrained MMedLM 2 showcast it's great performance in medical domai
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  | InternLM 2 | 7B | 2024.2 | ✗ | trainset | 57.27 | 77.55 | 47.74 | 41.00 | 68.36 | 59.59 | 58.59 |
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  | MMedLM(Ours) | 7B | - | ✓ | trainset | 49.88 | 70.49 | 46.23 | 36.66 | 72.27 | 54.52 | 55.01 |
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  | MMedLM 2(Ours) | 7B | - | ✓ | trainset | 61.74 | 80.01 | 61.81 | 52.09 | 80.47 | 67.65 | 67.30 |
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- |MMed-Llama 3(Ours)| |8B |- | ✓ | trainset | 66.06| 79.25 | 61.81 | 55.63 | 75.39 | 68.38 | 67.75 |
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  - GPT and Gemini is evluated under zero-shot setting through API
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  - Open-source models first undergo training on the trainset of MMedBench before evaluate.
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  | InternLM 2 | 7B | 2024.2 | ✗ | trainset | 57.27 | 77.55 | 47.74 | 41.00 | 68.36 | 59.59 | 58.59 |
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  | MMedLM(Ours) | 7B | - | ✓ | trainset | 49.88 | 70.49 | 46.23 | 36.66 | 72.27 | 54.52 | 55.01 |
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  | MMedLM 2(Ours) | 7B | - | ✓ | trainset | 61.74 | 80.01 | 61.81 | 52.09 | 80.47 | 67.65 | 67.30 |
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+ |MMed-Llama 3(Ours)|8B |- | ✓ | trainset | 66.06| 79.25 | 61.81 | 55.63 | 75.39 | 68.38 | 67.75 |
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  - GPT and Gemini is evluated under zero-shot setting through API
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  - Open-source models first undergo training on the trainset of MMedBench before evaluate.
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