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README.md

@@ -20182,8 +20182,8 @@ embeddings = model.encode(
 print(embeddings)
 ```
 
-We add instruction for asymmetric tasks: retrieval, reranking, classification and clustering.
-<!-- We add instruction for classification and clustering. -->
+<!-- We add instruction for asymmetric tasks: retrieval, reranking, classification and clustering. -->
+We add instruction for classification and clustering.
 If you want to add instruction to the query (no instruction for the corpus), you can use the model like this:
 
 ```python
@@ -20207,5 +20207,18 @@ print(embeddings)
 ```
 
 
+## Citation
+Please cite the repo if you use the model or code in this repo.
+
+```
+@article{hu2025kalm,
+  title={KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model},
+  author={Hu, Xinshuo and Shan, Zifei and Zhao, Xinping and Sun, Zetian and Liu, Zhenyu and Li, Dongfang and Ye, Shaolin and Wei, Xinyuan and Chen, Qian and Hu, Baotian and others},
+  journal={arXiv preprint arXiv:2501.01028},
+  year={2025}
+}
+```
+
+
 ## Contact
 If you encounter any issue, feel free to contact us via the email: [email protected]