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@@ -46,8 +46,10 @@ This is a newly curated dataset to evaluate multimodal language models' capabili
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  This evaluation dataset contains more than 200 human-annotated challenging multi-image reasoning problems.
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  ### Leaderboard
 
 
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  | Models | Size | Mantis-Eval |
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- |-------------------|------|-------------|
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  | GPT-4V | - | 62.67 |
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  | Mantis-SigLIP | 8B | 59.45 |
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  | Mantis-Idefics2 | 8B | 57.14 |
 
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  This evaluation dataset contains more than 200 human-annotated challenging multi-image reasoning problems.
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  ### Leaderboard
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+ We list the current results as follows:
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+
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  | Models | Size | Mantis-Eval |
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+ |:------------------|:-----|:------------|
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  | GPT-4V | - | 62.67 |
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  | Mantis-SigLIP | 8B | 59.45 |
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  | Mantis-Idefics2 | 8B | 57.14 |