Update README.md

README.md

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 ## Evaluation
 
-We evaluate the multimodal performance across a variety of datasets: VizWiz, SQA$^\text{I}$, VQA$^\text{T}$, POPE, GQA, MMB, MMB$^\text{CN}$
-, MM-Vet, and MME. Our analysis, as depicted in Table~\ref{tab:compare-with-sotas-vlms}.
+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>**
+, **MM-Vet**, and **MME**. Our analysis, as depicted in Table~\ref{tab:compare-with-sotas-vlms}.
 
-|     Method     |        LLM       | Res. | VizWiz |  SQA |  VQA | POPE |  GQA |  MMB | MMB^{CN} | MM-Vet |   MME  |
+|     Method     |        LLM       | Res. | VizWiz |  SQA |  VQA | POPE |  GQA |  MMB | MMB<sup>CN</sup> | MM-Vet |   MME  |
 |:--------------:|:----------------:|:----:|:------:|:----:|:----:|:----:|:----:|:----:|:--------:|:------:|:------:|
 |  Openflamingo  |      MPT-7B      |  336 |    -   |   -  | 33.6 |   -  |   -  |  4.6 |     -    |    -   |    -   |
 |     BLIP-2     |    Vicuna-13B    |  224 |    -   | 61.0 | 42.5 | 85.3 | 41.0 |   -  |     -    |    -   | 1293.8 |