Update README.md

README.md

@@ -61,7 +61,7 @@ configs:
 license: mit
 ---
 
-📄 Paper: [Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes (ICNLSP 2024)](https://arxiv.org/abs/2410.05770)
+📄 Paper: [Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes (ICNLSP 2024)](https://aclanthology.org/2024.icnlsp-1.21)
 
 💻 Code: [https://github.com/sebischair/FusionSent](https://github.com/sebischair/FusionSent)
 
@@ -89,13 +89,20 @@ MIT
 ## Citation information
 When citing our work in academic papers and theses, please use this BibTeX entry:
 ``` 
-@misc{schopf2024efficientfewshotlearningmultilabel,
-      title={Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes}, 
-      author={Tim Schopf and Alexander Blatzheim and Nektarios Machner and Florian Matthes},
-      year={2024},
-      eprint={2410.05770},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2410.05770}, 
+@inproceedings{schopf-etal-2024-efficient,
+    title = "Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes",
+    author = "Schopf, Tim  and
+      Blatzheim, Alexander  and
+      Machner, Nektarios  and
+      Matthes, Florian",
+    editor = "Abbas, Mourad  and
+      Freihat, Abed Alhakim",
+    booktitle = "Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)",
+    month = oct,
+    year = "2024",
+    address = "Trento",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2024.icnlsp-1.21",
+    pages = "186--198",
 }
 ```