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@@ -1101,8 +1101,8 @@ Additionally, we provide the following embedding models:
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  ## Data & Parameters
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- We will publish a report with technical details about the training of the bilingual models soon.
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- The training of the English model is described in this [technical report](https://arxiv.org/abs/2310.19923).
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  ## Usage
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  If you find Jina Embeddings useful in your research, please cite the following paper:
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  ```
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- @misc{günther2023jina,
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- title={Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents},
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- author={Michael Günther and Jackmin Ong and Isabelle Mohr and Alaeddine Abdessalem and Tanguy Abel and Mohammad Kalim Akram and Susana Guzman and Georgios Mastrapas and Saba Sturua and Bo Wang and Maximilian Werk and Nan Wang and Han Xiao},
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- year={2023},
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- eprint={2310.19923},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL}
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  }
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  ```
 
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  ## Data & Parameters
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+ The data and training details are described in this [technical report](https://arxiv.org/abs/2402.17016).
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+
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  ## Usage
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  If you find Jina Embeddings useful in your research, please cite the following paper:
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  ```
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+ @article{mohr2024multi,
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+ title={Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings},
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+ author={Mohr, Isabelle and Krimmel, Markus and Sturua, Saba and Akram, Mohammad Kalim and Koukounas, Andreas and G{\"u}nther, Michael and Mastrapas, Georgios and Ravishankar, Vinit and Mart{\'\i}nez, Joan Fontanals and Wang, Feng and others},
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+ journal={arXiv preprint arXiv:2402.17016},
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+ year={2024}
 
 
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  }
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  ```