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README.md

@@ -65,30 +65,13 @@ This coffee brews up a nice medium roast with exotic floral and berry notes .###
 
 If the code or dataset is used in your research, please star our repo and cite our paper as follows:
 ```
-@inproceedings{wu-etal-2025-absa,
-    title = "{M}-{ABSA}: A Multilingual Dataset for Aspect-Based Sentiment Analysis",
-    author = "Wu, ChengYan  and
-      Ma, Bolei  and
-      Liu, Yihong  and
-      Zhang, Zheyu  and
-      Deng, Ningyuan  and
-      Li, Yanshu  and
-      Chen, Baolan  and
-      Zhang, Yi  and
-      Xue, Yun  and
-      Plank, Barbara",
-    editor = "Christodoulopoulos, Christos  and
-      Chakraborty, Tanmoy  and
-      Rose, Carolyn  and
-      Peng, Violet",
-    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
-    month = nov,
-    year = "2025",
-    address = "Suzhou, China",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/2025.emnlp-main.128/",
-    doi = "10.18653/v1/2025.emnlp-main.128",
-    pages = "2530--2557",
-    ISBN = "979-8-89176-332-6",
+@misc{wu2025mabsa,
+      title={M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis}, 
+      author={Chengyan Wu and Bolei Ma and Yihong Liu and Zheyu Zhang and Ningyuan Deng and Yanshu Li and Baolan Chen and Yi Zhang and Yun Xue and Barbara Plank},
+      year={2025},
+      eprint={2502.11824},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2502.11824}, 
 }
 ```