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add benchmark results
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teowu committed Nov 6, 2023
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## Results

### Answering Multi-Choice Questions

#### Quantitative Results


- `dev` subset of [LLVisionQA](https://huggingface.co/datasets/nanyangtu/LLVisionQA-QBench).

<div style="width: 100%; text-align: center; margin:auto;">
<img style="width:100%" src="mcq_dev.png">
</div>

- `test` subset of [LLVisionQA](https://huggingface.co/datasets/nanyangtu/LLVisionQA-QBench).

<div style="width: 100%; text-align: center; margin:auto;">
<img style="width:100%" src="mcq_test.png">
</div>

### General Description on Low-level Visual Aspects

#### Quantitative Results

- Results on [LLDescribe](https://huggingface.co/datasets/nanyangtu/LLDescribe-QBench).

<div style="width: 100%; text-align: center; margin:auto;">
<img style="width:100%" src="description.png">
</div>


### Image and Video Quality Assessment

#### Quantitative Results

- Impressive results on 8 IQA/VQA datasets, including 3 *never seen* datasets (CGIQA-6K, KADID-10K, KoNViD-10k).

<div style="width: 100%; text-align: center; margin:auto;">
<img style="width:100%" src="iqa_vqa.png">
</div>

- The results are obtained with text-only instruction tuning, **without any numerical supervision**.
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