Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: mit
+license: cc-by-sa-4.0
 language:
 - en
 base_model:
@@ -10,8 +10,8 @@ ReasonIR-8B is the first retriever specifically trained for general reasoning ta
 on BRIGHT (reasoning-intensive retrieval). 
 When employed for retrieval-augmented generation (RAG), ReasonIR-8B also brings substantial gains on MMLU and GPQA.
 
-- Repository:
-- Paper:
+- Repository: https://github.com/facebookresearch/ReasonIR
+- Paper: https://arxiv.org/abs/2504.20595
 
 ## Usage
 Make sure to install `transformers>=4.47.0` first!
@@ -61,4 +61,13 @@ It is important to also include `trust_remote_code=True` and `torch_dtype="auto"
 
 NOTE: there seems to be some very slight floating point discrepancy when using the SentenceTransformer (because it does not support bf16 precision), though it should not affect the results in general.
 
-## Citation
+## Citation
+```
+@article{shao2025reasonir,
+      title={ReasonIR: Training Retrievers for Reasoning Tasks}, 
+      author={Rulin Shao and Rui Qiao and Varsha Kishore and Niklas Muennighoff and Xi Victoria Lin and Daniela Rus and Bryan Kian Hsiang Low and Sewon Min and Wen-tau Yih and Pang Wei Koh and Luke Zettlemoyer},
+      year={2025},
+      journal={arXiv preprint arXiv:2504.20595},
+      url={https://arxiv.org/abs/2504.20595}, 
+}
+```