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@@ -31,3 +31,4 @@ filtered 75K QA dataset as the training set, we obtained a highly capable captio
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  * **Detailed description for natural images**: The outputs of CapRL-3B can perfectly cover all valid visual information while containing fewer hallucinations.
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  ## Cases
 
 
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  * **Detailed description for natural images**: The outputs of CapRL-3B can perfectly cover all valid visual information while containing fewer hallucinations.
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  ## Cases
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