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 </p>
 
 ---
+## 🎉 **News**
+- **[2026-01-26]** Our **[LinearRAG](https://github.com/DEEP-PolyU/LinearRAG)** is accepted by ICLR’26. 
+- **[2025-10-27]** We release **[LinearRAG](https://github.com/DEEP-PolyU/LinearRAG)**, a relation-free graph construction method for efficient GraphRAG.
+- **[2025-06-06]** We release **[GraphRAG-Bench](https://github.com/GraphRAG-Bench/GraphRAG-Benchmark.git)**, the benchmark for evaluating GraphRAG models.
+- **[2025-01-21]** We release the **[GraphRAG survey](https://github.com/DEEP-PolyU/Awesome-GraphRAG)**.
+
+---
 
 ## 🚀 **Highlights**
 - ✅ **Context-Preserving**: Relation-free graph construction, relying on lightweight entity recognition and semantic linking to achieve comprehensive contextual comprehension. 
@@ -26,13 +33,6 @@
 </p>
 
 ---
-## 🎉 **News**
-- **[2026-01-26]** Our **[LinearRAG](https://github.com/DEEP-PolyU/LinearRAG)** is accepted by ICLR’26. 
-- **[2025-10-27]** We release **[LinearRAG](https://github.com/DEEP-PolyU/LinearRAG)**, a relation-free graph construction method for efficient GraphRAG.
-- **[2025-06-06]** We release **[GraphRAG-Bench](https://github.com/GraphRAG-Bench/GraphRAG-Benchmark.git)**, the benchmark for evaluating GraphRAG models.
-- **[2025-01-21]** We release the **[GraphRAG survey](https://github.com/DEEP-PolyU/Awesome-GraphRAG)**.
-
----
 
 ## 🛠️ **Usage**