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@@ -330,7 +330,7 @@ <h2 class="title is-3">Method</h2>
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           We introduce Chimera, a <b>scalable</b>b> pipeline that integrates specialist models into generalist LMMs, facilitating their adaptation to diverse specialized tasks. 
           Chimera comprises a general visual encoder, a general projector paired with a language model pre-trained from an LMM, alongside a router and an expert model suite, which includes specialized expert models and their corresponding expert projectors. 
-          Chimera uses a <b>Generalist-Specialist Collaboration Masking</b>b> (GSCM) mechanism to facilitate the alignment with expert models. 
+          Chimera uses a <b>Generalist-Specialist Collaboration Masking</b> (GSCM) mechanism to facilitate the alignment with expert models. 
           <br>
           We consider a progressive two-stage training procedure:
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@@ -343,7 +343,7 @@ <h2 class="title is-3">Method</h2>
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-          <img id="teaser" width="70%" src="images/overview.png">     
+          <img id="teaser" width="70%" src="static/overview.png">     
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