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@@ -39,7 +39,8 @@ InternVL 2.0 is a multimodal large language model series, featuring models of va
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  | MMBench-EN<sub>test</sub> | 71.0 | 73.6 | 76.2 | 78.6 |
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  | MMBench-CN<sub>test</sub> | 63.6 | - | 70.3 | 73.9 |
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  | CCBench<sub>dev</sub> | 29.6 | 24.1 | 58.8 | 66.5 |
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- | MMVet<sub>GPT-4-0613</sub> | 33.1 | - | 46.7 | 55.7 |
 
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  | SEED-Image | 69.6 | 70.9 | 72.5 | 73.7 |
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  | HallBench<sub>avg</sub> | 32.2 | 39.0 | 42.8 | 41.9 |
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  | MathVista<sub>testmini</sub> | 28.7 | 44.5 | 53.7 | 58.6 |
@@ -278,7 +279,8 @@ InternVL 2.0 是一个多模态大语言模型系列,包含各种规模的模
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  | MMBench-EN<sub>test</sub> | 71.0 | 73.6 | 76.2 | 78.6 |
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  | MMBench-CN<sub>test</sub> | 63.6 | - | 70.3 | 73.9 |
280
  | CCBench<sub>dev</sub> | 29.6 | 24.1 | 58.8 | 66.5 |
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- | MMVet<sub>GPT-4-0613</sub> | 33.1 | - | 46.7 | 55.7 |
 
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  | SEED-Image | 69.6 | 70.9 | 72.5 | 73.7 |
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  | HallBench<sub>avg</sub> | 32.2 | 39.0 | 42.8 | 41.9 |
284
  | MathVista<sub>testmini</sub> | 28.7 | 44.5 | 53.7 | 58.6 |
 
39
  | MMBench-EN<sub>test</sub> | 71.0 | 73.6 | 76.2 | 78.6 |
40
  | MMBench-CN<sub>test</sub> | 63.6 | - | 70.3 | 73.9 |
41
  | CCBench<sub>dev</sub> | 29.6 | 24.1 | 58.8 | 66.5 |
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+ | MMVet<sub>GPT-4-0613</sub> | - | - | 46.7 | 55.7 |
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+ | MMVet<sub>GPT-4-Turbo</sub> | 33.1 | 44.1 | 43.6 | 51.0 |
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  | SEED-Image | 69.6 | 70.9 | 72.5 | 73.7 |
45
  | HallBench<sub>avg</sub> | 32.2 | 39.0 | 42.8 | 41.9 |
46
  | MathVista<sub>testmini</sub> | 28.7 | 44.5 | 53.7 | 58.6 |
 
279
  | MMBench-EN<sub>test</sub> | 71.0 | 73.6 | 76.2 | 78.6 |
280
  | MMBench-CN<sub>test</sub> | 63.6 | - | 70.3 | 73.9 |
281
  | CCBench<sub>dev</sub> | 29.6 | 24.1 | 58.8 | 66.5 |
282
+ | MMVet<sub>GPT-4-0613</sub> | - | - | 46.7 | 55.7 |
283
+ | MMVet<sub>GPT-4-Turbo</sub> | 33.1 | 44.1 | 43.6 | 51.0 |
284
  | SEED-Image | 69.6 | 70.9 | 72.5 | 73.7 |
285
  | HallBench<sub>avg</sub> | 32.2 | 39.0 | 42.8 | 41.9 |
286
  | MathVista<sub>testmini</sub> | 28.7 | 44.5 | 53.7 | 58.6 |