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@@ -101,7 +101,7 @@ Author: **Susan Wise Bauer**
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  ## Evaluation
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  We evaluate the multimodal performance across a variety of datasets: **VizWiz**, **SQA<sup>I</sup>**, **VQA<sup>T</sup>**, **POPE**, **GQA**, **MMB**, **MMB<sup>CN</sup>**
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- , **MM-Vet**, and **MME**. Our analysis, as depicted in Table~\ref{tab:compare-with-sotas-vlms}.
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  | Method | LLM | Res. | VizWiz | SQA | VQA | POPE | GQA | MMB | MMB<sup>CN</sup> | MM-Vet | MME |
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  |:--------------:|:----------------:|:----:|:------:|:----:|:----:|:----:|:----:|:----:|:--------:|:------:|:------:|
 
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  ## Evaluation
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  We evaluate the multimodal performance across a variety of datasets: **VizWiz**, **SQA<sup>I</sup>**, **VQA<sup>T</sup>**, **POPE**, **GQA**, **MMB**, **MMB<sup>CN</sup>**
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+ , **MM-Vet**, and **MME**. Our analysis, as depicted In the following table.
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  | Method | LLM | Res. | VizWiz | SQA | VQA | POPE | GQA | MMB | MMB<sup>CN</sup> | MM-Vet | MME |
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  |:--------------:|:----------------:|:----:|:------:|:----:|:----:|:----:|:----:|:----:|:--------:|:------:|:------:|