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README.md
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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/
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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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# 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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# Input
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Query: {}
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Context: {}
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