Update README.md

README.md

@@ -14,7 +14,7 @@ pipeline_tag: text-generation
 # LongCite-glm4-9b
 
 <p align="center">
-  🤗 <a href="https://huggingface.co/datasets/THUDM/LongCite-45k" target="_blank">[LongCite Dataset] </a> • 💻 <a href="https://github.com/THUDM/LongCite" target="_blank">[Github Repo]</a> • 📃 <a href="https://arxiv.org/abs/" target="_blank">[LongCite Paper]</a> 
+  🤗 <a href="https://huggingface.co/datasets/THUDM/LongCite-45k" target="_blank">[LongCite Dataset] </a> • 💻 <a href="https://github.com/THUDM/LongCite" target="_blank">[Github Repo]</a> • 📃 <a href="https://arxiv.org/abs/2409.02897" target="_blank">[LongCite Paper]</a> 
 </p>
 
 LongCite-glm4-9b is trained based on [glm-4-9b](https://huggingface.co/THUDM/glm-4-9b), and is capable of generating fine-grained citations in long-context question answering. The model supports a maximum context window of up to 128K tokens.
@@ -54,7 +54,7 @@ If you find our work useful, please consider citing LongCite:
 @article{zhang2024longcite,
   title = {LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA} 
   author={Jiajie Zhang and Yushi Bai and Xin Lv and Wanjun Gu and Danqing Liu and Minhao Zou and Shulin Cao and Lei Hou and Yuxiao Dong and Ling Feng and Juanzi Li},
-  journal={arXiv preprint arXiv:},
+  journal={arXiv preprint arXiv:2409.02897},
   year={2024}
 }
 ```