Update README.md

README.md

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 # VGR: Visual Grounded Reasoning
 
 ## Overview
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-VGR (Visual Grounded Reasoning) is a novel multimodal large language model (MLLM) designed to enhance fine-grained visual perception and reasoning capabilities. Unlike traditional MLLMs, VGR enables selective attention to visual regions during inference, improving accuracy in complex visual reasoning tasks. It introduces a self-driven selective visual replay mechanism and is trained on a large-scale dataset (VGR-SFT) that integrates visual grounding and language deduction.
+This is the home page for VGR (Visual Grounded Reasoning): a novel multimodal large language model (MLLM) designed to enhance fine-grained visual perception and reasoning capabilities. Unlike traditional MLLMs, VGR enables selective attention to visual regions during inference, improving accuracy in complex visual reasoning tasks. It introduces a self-driven selective visual replay mechanism and is trained on a large-scale dataset (VGR-SFT) that integrates visual grounding and language deduction.
 
 - [Arxiv Paper Link](https://arxiv.org/pdf/2506.11991)
 - [Data Repository](https://huggingface.co/datasets/BytedanceDouyinContent/VGR)