Add metadata and link to paper

README.md

@@ -1,15 +1,17 @@
 ---
-inference: false
+base_model:
+- THUDM/glm-4-9b-chat
 language:
 - en
 - zh
+license: cc-by-nc-nd-4.0
 tags:
 - instruction-finetuning
+inference: false
 task_categories:
 - text-generation
-base_model:
-- THUDM/glm-4-9b-chat
-license: cc-by-nc-nd-4.0
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
 <h1 align="center">
@@ -24,10 +26,15 @@ license: cc-by-nc-nd-4.0
     <a href="https://huggingface.co/IAAR-Shanghai/xVerify-9B-C">
       <img src="https://img.shields.io/badge/🤗%20Hugging%20Face-xVerify--9B--C-yellow" alt="Hugging Face"/>
     </a>
+    <a href="https://huggingface.co/papers/2504.10481">
+      <img src="https://img.shields.io/badge/Paper-Arxiv-red" alt="Paper"/>
+    </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 was introduced 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.
 
 ---
 
@@ -60,4 +67,4 @@ Primarily handles Chinese and English responses while remaining compatible with
       journal={arXiv preprint arXiv:2504.10481},
       year={2025},
 }
-```
+```