Merge pull request #3553 from myhloli/dev

Fix formatting in changelog sections of README.md and README_zh-CN.md…

README.md

@@ -45,10 +45,10 @@
 # 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)
+  - 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
 

README_zh-CN.md

@@ -44,10 +44,10 @@
 
 # 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)
+  - 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）。