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@@ -13,6 +13,45 @@ base_model:
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  [[Paper]](https://arxiv.org/abs/2407.17331) [[GitHub]](https://github.com/deepglint/unicom)
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  ## Usage
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  ### A. Installation
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  bash eval.sh
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  ```
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- ## Embodied Ability Evaluation: Performance in RoboVQA and OpenEQA
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- | | | MLCD <br> Embodied-7B | LLaVA <br> OneVision-7B | GPT-4v | RoboMamba |
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- :-- | :-- | :-: | :-: | :-: | :-: |
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- | RoboVQA | BLEU1 | <span style="color:red">73.16</span> | 38.12 | - | 54.9 |
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- | | BLEU2 | <span style="color:red">66.39</span> | 33.56 | - | 44.2 |
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- | | BLEU3 | <span style="color:red">60.61</span> | 31.76 | - | 39.5 |
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- | | BLEU4 | <span style="color:red">56.56</span> | 30.97 | - | 36.3 |
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- | OpenEQA | Object State Recognition | <span style="color:red">71.83</span> | - | 63.2 | - |
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- | | Object Recognition | <span style="color:red">49.46</span> | - | 43.4 | - |
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- | | Functional Reasoning | 54.38 | - | <span style="color:red">57.4</span> | - |
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- | | Spatial Understanding | <span style="color:red">48.64</span> | - | 33.6 | - |
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- | | Attribute Recognition | <span style="color:red">67.08</span> | - | 57.2 | - |
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- | | World Knowledge | <span style="color:red">53.87</span> | - | 50.7 | - |
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- | | Object Localization | <span style="color:red">43.06</span> | - | 42.0 | - |
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- ## General Ability Evaluation: Comparison with LLaVA OneVision-7B and GPT-4
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-
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- | Dataset | Split | MLCD<br>Embodied-7B | LLaVA<br>OneVision-7B | GPT-4v | GPT-4o |
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- | :-- | :-: | :-: | :-: | :-: | :-: |
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- | A12D | test | 79.9 | 81.4 | 78.2 | 94.2 |
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- | ChartQA | test | 83.0 | 80.0 | 78.5 | 85.7 |
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- | DocVQA | test | 91.6 | 87.5 | 88.4 | 92.8 |
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- | InfoVQA | val | 73.9 | 70.7 | - | - |
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- | InfoVQA | test | 70.0 | 68.8 | - | - |
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- | MMMU | val | 47.3 | 48.8 | 56.8 | 69.1 |
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- | MMStar | test | 58.5 | 61.7 | 57.1 | 63.9 |
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- | OCRBench | - | 749.0 | 697.0 | 656.0 | 805.0 |
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- | RealWorldQA | test | 68.9 | 66.3 | 61.4 | 58.6 |
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- | SeedBench | image | 74.9 | 75.4 | 49.9 | 76.2 |
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- | MMbench | en-dev | 81.1 | 83.2 | 81.3 | 83.4 |
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- | MMbench | en-test | 80.1 | 80.8 | 75.0 | - |
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- | MME | test | 578/1603 | 418/1580 | 517/1409 | - |
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  We would like to express our gratitude to [Huajie Tan](https://huggingface.co/tanhuajie2001), [Yumeng Wang](https://huggingface.co/devymex), [Yin Xie](https://huggingface.co/Yin-Xie) for his significant contributions to the experimental validation in MLLMs.
 
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  [[Paper]](https://arxiv.org/abs/2407.17331) [[GitHub]](https://github.com/deepglint/unicom)
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+ ## Embodied Ability Evaluation: Performance in RoboVQA and OpenEQA
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+
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+ | | | MLCD <br> Embodied-7B | LLaVA <br> OneVision-7B | GPT-4v | RoboMamba |
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+ :-- | :-- | :-: | :-: | :-: | :-: |
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+ | RoboVQA | BLEU1 | <span style="color:red">73.16</span> | 38.12 | - | 54.9 |
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+ | | BLEU2 | <span style="color:red">66.39</span> | 33.56 | - | 44.2 |
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+ | | BLEU3 | <span style="color:red">60.61</span> | 31.76 | - | 39.5 |
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+ | | BLEU4 | <span style="color:red">56.56</span> | 30.97 | - | 36.3 |
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+ | OpenEQA | Object State Recognition | <span style="color:red">71.83</span> | - | 63.2 | - |
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+ | | Object Recognition | <span style="color:red">49.46</span> | - | 43.4 | - |
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+ | | Functional Reasoning | 54.38 | - | <span style="color:red">57.4</span> | - |
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+ | | Spatial Understanding | <span style="color:red">48.64</span> | - | 33.6 | - |
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+ | | Attribute Recognition | <span style="color:red">67.08</span> | - | 57.2 | - |
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+ | | World Knowledge | <span style="color:red">53.87</span> | - | 50.7 | - |
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+ | | Object Localization | <span style="color:red">43.06</span> | - | 42.0 | - |
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+ ## General Ability Evaluation: Comparison with LLaVA OneVision-7B and GPT-4
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+
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+ | Dataset | Split | MLCD<br>Embodied-7B | LLaVA<br>OneVision-7B | GPT-4v | GPT-4o |
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+ | :-- | :-: | :-: | :-: | :-: | :-: |
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+ | A12D | test | 79.9 | 81.4 | 78.2 | 94.2 |
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+ | ChartQA | test | 83.0 | 80.0 | 78.5 | 85.7 |
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+ | DocVQA | test | 91.6 | 87.5 | 88.4 | 92.8 |
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+ | InfoVQA | val | 73.9 | 70.7 | - | - |
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+ | InfoVQA | test | 70.0 | 68.8 | - | - |
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+ | MMMU | val | 47.3 | 48.8 | 56.8 | 69.1 |
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+ | MMStar | test | 58.5 | 61.7 | 57.1 | 63.9 |
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+ | OCRBench | - | 749.0 | 697.0 | 656.0 | 805.0 |
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+ | RealWorldQA | test | 68.9 | 66.3 | 61.4 | 58.6 |
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+ | SeedBench | image | 74.9 | 75.4 | 49.9 | 76.2 |
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+ | MMbench | en-dev | 81.1 | 83.2 | 81.3 | 83.4 |
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+ | MMbench | en-test | 80.1 | 80.8 | 75.0 | - |
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+ | MME | test | 578/1603 | 418/1580 | 517/1409 | - |
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+
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  ## Usage
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  ### A. Installation
 
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  bash eval.sh
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  ```
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  We would like to express our gratitude to [Huajie Tan](https://huggingface.co/tanhuajie2001), [Yumeng Wang](https://huggingface.co/devymex), [Yin Xie](https://huggingface.co/Yin-Xie) for his significant contributions to the experimental validation in MLLMs.