Update README.md

README.md

@@ -14,7 +14,9 @@ tags:
 
 # Intro
 
-> [Technical Report](https://ben.clavie.eu/JColBERT_v1.pdf) (direct PDF, arXiv coming)
+> [arXiv Report](https://arxiv.org/abs/2312.16144)
+
+If you just want to check out how to use the model, please check out the [Usage section](#Usage) below!
 
 Welcome to JaColBERT version 1, the initial release of JaColBERT, a Japanese-only document retrieval model based on [ColBERT](https://github.com/stanford-futuredata/ColBERT).
 
@@ -139,4 +141,20 @@ with Run().context(RunConfig(nranks=n_gpu,experiment=experiment)):
     query = "マクドナルドの小さなフライドポテトのカロリーはいくつですか"
     results = searcher.search(query, k=k)
     # results: tuple of tuples of length k containing ((passage_id, passage_rank, passage_score), ...) 
-```
+```
+
+
+# Citation
+
+If you'd like to cite this work, please cite the technical report:
+
+```
+@misc{clavié2023jacolbert,
+      title={JaColBERT and Hard Negatives, Towards Better Japanese-First Embeddings for Retrieval: Early Technical Report}, 
+      author={Benjamin Clavié},
+      year={2023},
+      eprint={2312.16144},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```