Update README.md

README.md

@@ -16,7 +16,7 @@ size_categories:
 
 
 # Dataset Summary
-CCR-Bench is designed to assess LLMs’ ability to follow complex instructions through a progressive and multi-dimensional lens. The construction of CCR-Bench follows a logical progression from simple to complex, and from foundational to application-level scenarios. It contains 174 test cases and comprises three core components: Complex Content-Format Constraints, Logical Workflow Control and Industrial Scenario Application. The goal is to evaluate the practical utility and robustness of LLMs under conditions that approximate real-world industrial deployments. **We recommend reading the [paper]() for more background on task significance.**
+CCR-Bench is designed to assess LLMs’ ability to follow complex instructions through a progressive and multi-dimensional lens. The construction of CCR-Bench follows a logical progression from simple to complex, and from foundational to application-level scenarios. It contains 174 test cases and comprises three core components: Complex Content-Format Constraints, Logical Workflow Control and Industrial Scenario Application. The goal is to evaluate the practical utility and robustness of LLMs under conditions that approximate real-world industrial deployments. **We recommend reading the [paper](https://arxiv.org/pdf/2603.07886) for more background on task significance.**
 
 
 # Dataset Description