update name

Author: Yif-Yang

docs/index.html

@@ -71,12 +71,12 @@ <h2 class="subtitle is-4">Weiquan Huang<sup>1*</sup>, Aoqi Wu<sup>1*</sup>, Yifa
   <!-- News Section -->
   <section class="section">
     <div class="container">
-      <h2 class="title is-3 has-text-centered">News <span class="icon"><i class="fas fa-rocket"></i></span></h2>
-      <div class="content has-text-centered">
+      <h2 class="title is-3  has-text-centered">News <span class="icon"><i class="fas fa-rocket"></i></span></h2>
+      <div class="content has-text-left">
         <ul>
-          <li><strong>[2024-11-08]</strong> We are training a scaled-up version with ten times the dataset. Updates: EVA ViT-E, InternVL-300M, SigCLIP-SO-400M, and more VLLM results. Stay tuned for the most powerful CLIP models. Thanks for your star!</li>
-          <li><strong>[2024-11-06]</strong> OpenAI's CLIP and EVA02's ViT models are now available on <a href="https://huggingface.co/collections/microsoft/llm2clip-672323a266173cfa40b32d4c" target="_blank">HuggingFace</a>.</li>
-          <li><strong>[2024-11-01]</strong> Our paper was accepted at the NeurIPS 2024 SSL Workshop!</li>
+           <li><strong>[2024-11-08]</strong> We are training a scaled-up version with ten times the dataset. Updates: EVA ViT-E, InternVL-300M, SigCLIP-SO-400M, and more VLLM results. Stay tuned for the most powerful CLIP models. Thanks for your star!</li>
+           <li><strong>[2024-11-06]</strong> OpenAI's CLIP and EVA02's ViT models are now available on <a href="https://huggingface.co/collections/microsoft/llm2clip-672323a266173cfa40b32d4c" target="_blank">HuggingFace</a>.</li>
+           <li><strong>[2024-11-01]</strong> Our paper was accepted at the NeurIPS 2024 SSL Workshop!</li>
         </ul>
       </div>
     </div>
@@ -404,8 +404,8 @@ <h2 class="title is-3 has-text-centered"><span class="dvima">LLM2CLIP can make S
                       <td>3.7</td>
                       <td>7.3</td>
                     </tr>
-                    <tr>
-                      <td>&#8195;<strong>+ ourmethod</strong></td>
+                    <tr style="background-color: #E8F4FF;">
+                      <td>&#8195;<strong> &emsp;   + LLM2CLIP</strong></td>
                       <td><strong>86.9</strong></td>
                       <td><strong>98.1</strong></td>
                       <td><strong>99.3</strong></td>
@@ -506,7 +506,7 @@ <h2 class="title is-3 has-text-centered"><span class="dvima">LLM2CLIP can make m
                       <td><strong>39.71</strong></td>
                     </tr>
                     <tr style="background-color: #E8F4FF;">
-                      <td>&#8195;<strong>+ ourmethod</strong></td>
+                      <td>&#8195;<strong>  &emsp;  + LLM2CLIP</strong></td>
                       <td><strong>79.80</strong></td>
                       <td><strong>63.15</strong></td>
                       <td><strong>52.37</strong></td>
@@ -537,7 +537,7 @@ <h2 class="title is-3 has-text-centered"><span class="dvima">LLM2CLIP can make m
   </section>
 
   <section class="section" id="BibTeX">
-    <div class="container is-max-desktop content has-text-centered">
+    <div class="container is-max-desktop content">
       <h2 class="title">BibTeX</h2>
       <pre><code>@misc{huang2024llm2clippowerfullanguagemodel,
   title={LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation},
@@ -557,4 +557,13 @@ <h2 class="title">BibTeX</h2>
         <div class="column">
           <div class="content has-text-centered">
             <p>
-              © 2024 Microsoft <
+                      © 2024 Microsoft <br/>
+                  </p>
+              </div>
+          </div>
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+  </div>
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