Update README.md

README.md

@@ -12,7 +12,7 @@ license: apache-2.0
 We release the HTML pruner model used in **HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieval Results in RAG Systems**.
 
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-Useful links: 📝 <a href="https://arxiv.org/abs/2411.02959" target="_blank">Paper</a> • 🤗 <a href="https://huggingface.co/zstanjj/SlimPLM-Query-Rewriting/" target="_blank">Hugging Face</a> • 🧩 <a href="https://github.com/plageon/SlimPLM" target="_blank">Github</a>
+Useful links: 📝 <a href="https://arxiv.org/abs/2411.02959" target="_blank">Paper</a> • 🤗 <a href="https://huggingface.co/papers/2411.02959" target="_blank">Hugging Face</a> • 🧩 <a href="https://github.com/plageon/HtmlRAG" target="_blank">Github</a>
 </p>
 
 We propose HtmlRAG, which uses HTML instead of plain text as the format of external knowledge in RAG systems. To tackle the long context brought by HTML, we propose **Lossless HTML Cleaning** and **Two-Step Block-Tree-Based HTML Pruning**.
@@ -22,7 +22,7 @@ We propose HtmlRAG, which uses HTML instead of plain text as the format of exter
 - **Two-Step Block-Tree-Based HTML Pruning**: The block-tree-based HTML pruning consists of two steps, both of which are conducted on the block tree structure. The first pruning step uses a embedding model to calculate scores for blocks, while the second step uses a path generative model. The first step processes the result of lossless HTML cleaning, while the second step processes the result of the first pruning step.
 
 
-🌹 If you use this model, please ✨star our **[GitHub repository](https://github.com/plageon/HTMLRAG)** to support us. Your star means a lot!
+🌹 If you use this model, please ✨star our **[GitHub repository](https://github.com/plageon/HtmlRAG)** to support us. Your star means a lot!
 
 ## 📦 Installation