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README.md

@@ -27,7 +27,7 @@ MMDocRAG is built for (i) multimodal document retrieval and (ii) retrieval-augme
 
 
 
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   <h2 align="center">MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents</h2>
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@@ -64,13 +64,13 @@ both training and evaluation. Through rigorous experiments, we demonstrate that
 
 
 
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   <h2 align="center">MMDocRAG: Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering</h2>
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-    <strong>Kuicai Dong</strong></a>
+    <strong>Kuicai Dong*</strong></a>
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-    <strong>Yujing Chang</strong>
+    <strong>Yujing Chang*</strong>
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     <strong>Shijie Huang</strong>
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@@ -95,7 +95,7 @@ moderate advantages over text-only models, while open-source alternatives trail
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