Update README.md

README.md

@@ -19,4 +19,16 @@ Model weights for the JaColBERTv2.4 checkpoint, which is the pre-post-training v
 
 This model largely outperforms all previous approaches, including JaColBERTV2 multilingual models such as BGE-M3, on all datasets.
 
-This page will be updated with the full details and the model report in the next few days.
+This page will be updated with the full details and the model report in the next few days.
+
+```
+@misc{clavié2024jacolbertv25optimisingmultivectorretrievers,
+      title={JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources}, 
+      author={Benjamin Clavié},
+      year={2024},
+      eprint={2407.20750},
+      archivePrefix={arXiv},
+      primaryClass={cs.IR},
+      url={https://arxiv.org/abs/2407.20750}, 
+}
+```