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  ## References
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  * **YaRN: Efficient Context Window Extension of Large Language Models**
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- [https://arxiv.org/pdf/2309.00071](https://arxiv.org/pdf/2309.00071)
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  * **Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution**
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- [https://arxiv.org/pdf/2409.12191](https://arxiv.org/pdf/2409.12191)
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  * **Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond**
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- [https://arxiv.org/pdf/2308.12966](https://arxiv.org/pdf/2308.12966)
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  * **A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy**
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- [https://arxiv.org/pdf/2412.02210](https://arxiv.org/pdf/2412.02210)
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- * **Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learning**
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- [https://arxiv.org/pdf/2505.20272](https://arxiv.org/pdf/2505.20272)
 
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  ## References
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  * **YaRN: Efficient Context Window Extension of Large Language Models**
 
 
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  * **Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution**
 
 
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  * **Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond**
 
 
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  * **A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy**
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+ * **Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learning**