Update README.md

README.md

@@ -69,7 +69,7 @@ datasets:
 - **Primary Use Case** : Detecting and mitigating hidden risks in reasoning traces of Large Reasoning Models (LRMs)
 
 - **Key Features** :
-  - **High Performance**:  Achieves an average F1 score exceeding **92%** in QT Moderation tasks, outperforming existing models across both in-distribution (ID) and out-of-distribution (OOD) test sets.
+  - **High Performance**:  Achieves an average F1 score exceeding **92%** in QT Moderation tasks, outperforming existing models across both in-distribution (ID) and out-of-distribution (OOD) test sets, achieving state-of-the-art (SOTA) performance.
 
   - **Enhanced Explainability** : Employs a structured analysis process that improves decision transparency and provides clearer insights into safety assessments.