Add link to paper and code

README.md

@@ -2,14 +2,15 @@
 language:
 - vi
 library_name: transformers
+license: mit
+pipeline_tag: question-answering
 tags:
 - SemViQA
 - question-answering
 - fact-checking
 - information-retrieval
-pipeline_tag: question-answering
-license: mit
 ---
+
 ## Model Description
 - **Developed by:** [SemViQA Research Team](https://huggingface.co/SemViQA)  
 - **Fine-tuned model:** [InfoXLM](https://huggingface.co/microsoft/infoxlm-large)  
@@ -53,4 +54,7 @@ print(evidence)
 *Built by Dien X. Tran*
 [![LinkedIn](https://img.shields.io/badge/LinkedIn-Profile-blue?logo=linkedin)](https://www.linkedin.com/in/xndien2004/)
 For more details, visit the project repository.
-[![GitHub stars](https://img.shields.io/github/stars/DAVID-NGUYEN-S16/SemViQA?style=social)](https://github.com/DAVID-NGUYEN-S16/SemViQA)
+[![GitHub stars](https://img.shields.io/github/stars/DAVID-NGUYEN-S16/SemViQA?style=social)](https://github.com/DAVID-NGUYEN-S16/SemViQA)
+
+## Paper
+The SemViQA model is described in the paper: [SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking](https://huggingface.co/papers/2503.00955)