docs: add Simple Rubric documentation and rename to Generate Rubrics …

README.md

@@ -98,7 +98,7 @@ Access **50+ production-ready graders** featuring a comprehensive taxonomy, rigo
 ### 🛠️ Flexible Grader Building Methods
 Choose the build method that fits your requirements:
 * **Customization:** Easily extend or modify pre-defined graders to fit your specific needs.  👉 [Custom Grader Development Guide](https://modelscope.github.io/OpenJudge/building_graders/create_custom_graders/)
-* **Data-Driven Rubrics:** Have a few examples but no clear rules? Use our tools to automatically generate white-box evaluation criteria (Rubrics) based on your data.👉 [Automatic Rubric Generation Tutorial](https://modelscope.github.io/OpenJudge/building_graders/generate_graders_from_data/)
+* **Generate Rubrics:** Need evaluation criteria but don't want to write them manually? Use **Simple Rubric** (from task description) or **Iterative Rubric** (from labeled data) to automatically generate white-box evaluation rubrics. 👉 [Generate Rubrics as Graders](https://modelscope.github.io/OpenJudge/building_graders/generate_rubrics_as_graders/)
 * **Training Judge Models ( Coming Soon🚀):** For high-scale and specialized scenarios, we are developing the capability to train dedicated Judge models. Support for SFT, Bradley-Terry models, and Reinforcement Learning workflows is on the way to help you build high-performance, domain-specific graders.
 
 

README_zh.md

@@ -98,7 +98,7 @@ OpenJudge 将评估指标和奖励信号统一为标准化的 **Grader** 接口
 ### 🛠️ 灵活的评分器构建方法
 选择适合您需求的构建方法：
 * **自定义：** 轻松扩展或修改预定义的评分器以满足您的特定需求。👉 [自定义评分器开发指南](https://modelscope.github.io/OpenJudge/building_graders/create_custom_graders/)
-* **数据驱动的评分标准：** 有一些示例但没有明确规则？使用我们的工具根据您的数据自动生成白盒评估标准（Rubrics）。👉 [自动评分标准生成教程](https://modelscope.github.io/OpenJudge/building_graders/generate_graders_from_data/)
+* **生成评估标准：** 需要评估标准但不想手动编写？使用 **Simple Rubric**（基于任务描述）或 **Iterative Rubric**（基于标注数据）自动生成白盒评估标准。👉 [生成评估标准作为 Grader](https://modelscope.github.io/OpenJudge/building_graders/generate_rubrics_as_graders/)
 * **训练评判模型（即将推出🚀）：** 对于大规模和专业化场景，我们正在开发训练专用评判模型的能力。SFT、Bradley-Terry 模型和强化学习工作流的支持即将推出，帮助您构建高性能、领域特定的评分器。
 
 

docs/building_graders/create_custom_graders.md

@@ -301,7 +301,7 @@ When running graders, focus on configuring data mappers to connect your dataset
 
 ## Next Steps
 
-- [Generate Graders from Data](generate_graders_from_data.md) — Automate grader creation from labeled examples
+- [Generate Rubrics as Graders](generate_rubrics_as_graders.md) — Automatically generate graders from task description or labeled data
 - [Run Grading Tasks](../running_graders/run_tasks.md) — Evaluate your models at scale
 - [Grader Analysis](../running_graders/grader_analysis.md) — Validate and analyze grader results