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@@ -145,7 +145,7 @@ We use the following _statistical-based metrics_:
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  ![\[
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  \text{Image Precision} = \frac{\text{True Positives}}{\text{True Positives} + \text{False Positives}}
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- \]](https://cdn-uploads.huggingface.co/production/uploads/67571051d39ac252085797ca/vfqon9fMx6NMEAMm1jWbV.png)
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  where True Positives are the correctly inserted images, and False Positives are irrelevant images that were included.
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@@ -239,6 +239,7 @@ We use the following _LLM-based metrics_:
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  Doing household chores is a daily task that helps maintain a clean home. At the kitchen, dishes are neatly washed and placed in the drying rack, ready to be put away once they dry.<img10> Similarly, in the living room, the sofa cushions are fluffed and arranged properly, creating a comfortable space for relaxation.<img11>
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  #### Answer Generation Prompt for MLLM-Based Methods
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  # Input
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  Query: {}
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  Context: {}
 
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  ![\[
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  \text{Image Precision} = \frac{\text{True Positives}}{\text{True Positives} + \text{False Positives}}
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+ \]](https://cdn-uploads.huggingface.co/production/uploads/67571051d39ac252085797ca/Z27SuLVNOMqU_Br8-h69P.png)
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  where True Positives are the correctly inserted images, and False Positives are irrelevant images that were included.
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  Doing household chores is a daily task that helps maintain a clean home. At the kitchen, dishes are neatly washed and placed in the drying rack, ready to be put away once they dry.<img10> Similarly, in the living room, the sofa cushions are fluffed and arranged properly, creating a comfortable space for relaxation.<img11>
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  #### Answer Generation Prompt for MLLM-Based Methods
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+
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  # Input
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  Query: {}
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  Context: {}