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@@ -18,7 +18,7 @@ We plan to open-source the Infinity-MM dataset, training scripts, and related re
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  # Evaluation
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- We evaluated the model using the [VLMEvalKit](GitHub - open-compass/VLMEvalKit: Open-source evaluation toolkit of large vision-language models (LV) tool. Whenever possible, we prioritized using the GPT-4 API for test sets that support API-based evaluation.
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  | Test sets | MiniCPM-V-2 | InternVL2-2B | XinYuan-VL-2B | Qwen2-VL-2B-Instruct | Infinity-VL-2B |
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  |:----------------:|:--------------:|:---------------:|:----------------:|:-----------------------:|:-----------------:|
 
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  # Evaluation
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+ We evaluated the model using the [VLMEvalKit](https://github.com/open-compass/VLMEvalKit) tool. Whenever possible, we prioritized using the GPT-4 API for test sets that support API-based evaluation.
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  | Test sets | MiniCPM-V-2 | InternVL2-2B | XinYuan-VL-2B | Qwen2-VL-2B-Instruct | Infinity-VL-2B |
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  |:----------------:|:--------------:|:---------------:|:----------------:|:-----------------------:|:-----------------:|