Update README.md

README.md

@@ -23,7 +23,7 @@ datasets:
 <h1>E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker</h1>
 
 <a href="https://Alibaba-NLP.github.io/E2Rank/">🤖 Website</a> | 
-<a href="https://arxiv.org/pdf/2510.00000">📄 Arxiv Paper</a> | 
+<a href="h[ttps://arxiv.org/pdf/2510.00000](https://arxiv.org/abs/2510.22733)">📄 Arxiv Paper</a> | 
 <a href="https://huggingface.co/collections/Alibaba-NLP/e2rank">🤗 Huggingface Collection</a> |
 <a href="#🚩-citation">🚩 Citation</a>
 
@@ -393,7 +393,15 @@ Example code is coming soon.
 If this work is helpful, please kindly cite as:
 
 ```bibtext
-
+@misc{liu2025e2rank,
+      title={E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker}, 
+      author={Qi Liu and Yanzhao Zhang and Mingxin Li and Dingkun Long and Pengjun Xie and Jiaxin Mao},
+      year={2025},
+      eprint={2510.22733},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2510.22733}, 
+}
 ```
 
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