add mj team series

index.html

@@ -398,7 +398,7 @@ <h2 class="subtitle has-text-left" style="text-align: left; width: 100%;">
                 type="video/mp4">
       </video> -->
         <img src="./static/images/dataset_overview_new.png" alt="Framework." style="width: 90%; height: auto; margin-top: -80px;" />
-        <h2 class="subtitle has-text-left" style="text-align: left; width: 100%;">
+        <h2 class="subtitle has-text-left" style="text-align: left; width: 100%; font-size: 1.2rem;">
           <!-- <span class="dnerf">Nerfies</span> -->
           Overview of the proposed <b>MJ-Bench</b> dataset. To comprehensively evaluate the judge feedback provided by multimodal reward models for image generation, our preference dataset is structured around four key dimensions: text-image alignment, safety, image quality and artifacts, bias and fairness. Each dimension is thoroughly represented through various sub-scenarios that include distinct comparison pairs. These pairs are carefully chosen to highlight subtle, yet verifiable reasons such as incorrect facts, compromised quality, and unsafe implications that justify the preference.
         </h2>