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@@ -292,7 +292,7 @@ <h2>Research</h2>
               <strong>Xiaoman Zhang*</strong>,
               <a href="https://chaoyi-wu.github.io/">Chaoyi Wu*</a>,
               <a>Ziheng Zhao</a>,
-	      <a>Weixiong Lin</a>,
+	          <a>Weixiong Lin</a>,
               <a href="https://mediabrain.sjtu.edu.cn/members/">Yanfeng Wang </a>,
               <a href="https://mediabrain.sjtu.edu.cn/yazhang/">Ya Zhang</a>,
               <a href="https://weidixie.github.io/">Weidi Xie</a>
@@ -319,8 +319,7 @@ <h2>Research</h2>
               <a href="https://weidixie.github.io/">Weidi Xie</a>
               <br>
               <em>Technical Report, 2023.</em><br>
-              In this report, we systematically investigate the process of adapting a general-purpose foundation language model towards medical domain, this involves data-centric knowledge injection through the integration of 4.8M biomedical academic papers and 30K medical
-textbooks, as well as comprehensive fine-tuning for alignment with domain-specific instructions.
+              In this report, we systematically investigate the process of adapting a general-purpose foundation language model towards medical domain, this involves data-centric knowledge injection through the integration of 4.8M biomedical academic papers and 30K medical textbooks, as well as comprehensive fine-tuning for alignment with domain-specific instructions.
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@@ -347,7 +346,7 @@ <h2>Research</h2>
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