update

README.md

@@ -33,12 +33,12 @@ pipeline_tag: translation
 
 ## Description
 MITRE (Multilingual Translation with Registers) is a multilingual, decoder-only model designed for many-to-many translation tasks.  
-The technology, i.e., registering, is introduced in our [paper](url_placeholder).  
-This repository allows you employ our pre-trained model for inference. If you want to reproduce the data mining and training, please refer to this [repository](url_placeholder).
+The technology, i.e., registering, is introduced in our [paper](https://arxiv.org/abs/2501.02979).  
+This repository allows you employ our pre-trained model for inference. If you want to reproduce the data mining and training, please refer to this [repository](https://github.com/zhiqu22/mitre).
 
 The model supports direct translation across 552 directions for 24 languages spanning over 5 language families.  
 You can use our models directly via the `transformers` libs.  
-An alternative version of MITRE with 913M parameters is also available in this [repository](url_placeholder).
+An alternative version of MITRE with 913M parameters is also available in this [repository](https://huggingface.co/naist-nlp/mitre_913m).
 
 
 ## Usages
@@ -103,5 +103,13 @@ Asian*: Chinese (zh), Japanese (ja), Korean (ko), Vietnamese (vi)
 
 ## BibTeX entry and citation info
 ```
-place holder
+@misc{qu2025registeringsourcetokenstarget,
+      title={Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation}, 
+      author={Zhi Qu and Yiran Wang and Jiannan Mao and Chenchen Ding and Hideki Tanaka and Masao Utiyama and Taro Watanabe},
+      year={2025},
+      eprint={2501.02979},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2501.02979}, 
+}
 ```