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README.md
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@@ -74,7 +74,7 @@ We conducted a comprehensive evaluation of **MOSS-VL-Instruct-0408** across four
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* **๐ Leading Video Intelligence**: MOSS-VL achieves a score of **65.8** in Video Understanding, significantly outperforming Qwen3-VL (+2pts). It shows exceptional temporal consistency and action recognition capabilities across benchmarks like `VideoMME`, `MLVU`, `EgoSchema`, and `VSI-bench` (where it outperforms **Qwen3-VL-8B-Instruct** by **8.3 points**).
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* **๐๏ธ Outstanding Multimodal Perception**: MOSS-VL delivers excellent general image-text understanding, shining in fine-grained object recognition and spatial reasoning on benchmarks like `BLINK` and `MMBench`.
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* **๐ง Robust Multimodal Reasoning**: MOSS-VL demonstrates solid logical inference, staying highly competitive with the latest Qwen series on challenging reasoning suites such as `VisuLogic`.
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* **๐ Reliable Document Understanding**: While the model is primarily optimized for general perception
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* **๐ Leading Video Intelligence**: MOSS-VL achieves a score of **65.8** in Video Understanding, significantly outperforming Qwen3-VL (+2pts). It shows exceptional temporal consistency and action recognition capabilities across benchmarks like `VideoMME`, `MLVU`, `EgoSchema`, and `VSI-bench` (where it outperforms **Qwen3-VL-8B-Instruct** by **8.3 points**).
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* **๐๏ธ Outstanding Multimodal Perception**: MOSS-VL delivers excellent general image-text understanding, shining in fine-grained object recognition and spatial reasoning on benchmarks like `BLINK` and `MMBench`.
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* **๐ง Robust Multimodal Reasoning**: MOSS-VL demonstrates solid logical inference, staying highly competitive with the latest Qwen series on challenging reasoning suites such as `VisuLogic`.
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* **๐ Reliable Document Understanding**: While the model is primarily optimized for general perception, MOSS-VL still delivers **83.9** on OCR and document analysis, ensuring dependable extraction of text and structured information.
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