Update README.md and README_zh-CN.md to include changelog for v2.5.3 release with compatibility fixes and performance adjustments

README.md

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 # Changelog
 
+- 2025/09/20 2.5.3 Released
+ - Dependency version range adjustment to enable Turing and earlier architecture GPUs to use vLLM acceleration for MinerU2.5 model inference.
+ - Pipeline backend compatibility fixes for torch 2.8.0.
+ - Reduced default concurrency for vLLM async backend to lower server pressure and avoid connection closure issues caused by high load.
+ - More compatibility-related details can be found in the [announcement](https://github.com/opendatalab/MinerU/discussions/3548)
+
+
 - 2025/09/19 2.5.2 Released
 
   We are officially releasing MinerU2.5, currently the most powerful multimodal large model for document parsing.

README_zh-CN.md

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 </div>
 
 # 更新记录
+- 2025/09/20 2.5.3 发布
+ - 依赖版本范围调整，使得Turing及更早架构显卡可以使用vLLM加速推理MinerU2.5模型。
+ - pipeline后端对torch 2.8.0的一些兼容性修复。
+ - 降低vLLM异步后端默认的并发数，降低服务端压力以避免高压导致的链接关闭问题。
+ - 更多兼容性相关内容详见[公告](https://github.com/opendatalab/MinerU/discussions/3547)
 
 - 2025/09/19 2.5.2 发布
   我们正式发布 MinerU2.5，当前最强文档解析多模态大模型。仅凭 1.2B 参数，MinerU2.5 在 OmniDocBench 文档解析评测中，精度已全面超越 Gemini2.5-Pro、GPT-4o、Qwen2.5-VL-72B等顶级多模态大模型，并显著领先于主流文档解析专用模型（如 dots.ocr, MonkeyOCR, PP-StructureV3 等）。