Improve model card: add metadata, library_name and link to paper

README.md

@@ -1,22 +1,28 @@
 ---
-inference: false
+base_model:
+- google/gemma-2-27b-it
 language:
 - en
 - zh
+license: cc-by-nc-nd-4.0
 tags:
 - instruction-finetuning
-task_categories:
-- text-generation
-base_model:
-- google/gemma-2-27b-it
-license: cc-by-nc-nd-4.0
+inference: false
+pipeline_tag: text-generation
+library_name: transformers
+papers:
+- 2504.10481
 ---
+
 <h1 align="center">
 🔍 xVerify-27B-I
 </h1>
 
 <p align="center">
   <div style="display: flex; justify-content: center; gap: 10px;">
+    <a href="https://huggingface.co/papers/2504.10481">
+      <img src="https://img.shields.io/badge/Paper-arXiv-red?logo=arxiv" alt="Paper"/>
+    </a>
     <a href="https://github.com/IAAR-Shanghai/xVerify">
       <img src="https://img.shields.io/badge/GitHub-Repository-blue?logo=github" alt="GitHub"/>
     </a>
@@ -25,7 +31,8 @@ license: cc-by-nc-nd-4.0
     </a>
   </div>
 </p>
-xVerify is an evaluation tool fine-tuned from a pre-trained large language model, designed specifically for objective questions with a single correct answer. It accurately extracts the final answer from lengthy reasoning processes and efficiently identifies equivalence across different forms of expressions.
+
+xVerify is an evaluation tool fine-tuned from a pre-trained large language model, designed specifically for objective questions with a single correct answer. It is presented in the paper [xVerify: Efficient Answer Verifier for Reasoning Model Evaluations](https://huggingface.co/papers/2504.10481). It accurately extracts the final answer from lengthy reasoning processes and efficiently identifies equivalence across different forms of expressions.
 
 ---
 
@@ -48,6 +55,11 @@ Primarily handles Chinese and English responses while remaining compatible with
 
 ---
 
+## 🚀 Get Started
+
+For full implementation, data preparation, and evaluation scripts, please visit the [official GitHub Repository](https://github.com/IAAR-Shanghai/xVerify).
+
+---
 
 ## 📚 Citation