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README.md
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@@ -2771,22 +2771,17 @@ The gte evaluation setting: `mteb==1.2.0, fp16 auto mix precision, max_length=81
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If you find our paper or models helpful, please consider citing them as follows:
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```
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@
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title={mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval},
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author={Xin Zhang
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2407.19669},
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}
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2308.03281},
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}
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```
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If you find our paper or models helpful, please consider citing them as follows:
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```
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@article{zhang2024mgte,
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title={mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval},
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author={Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Wen and Dai, Ziqi and Tang, Jialong and Lin, Huan and Yang, Baosong and Xie, Pengjun and Huang, Fei and others},
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journal={arXiv preprint arXiv:2407.19669},
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year={2024}
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}
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@article{li2023towards,
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title={Towards general text embeddings with multi-stage contrastive learning},
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author={Li, Zehan and Zhang, Xin and Zhang, Yanzhao and Long, Dingkun and Xie, Pengjun and Zhang, Meishan},
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journal={arXiv preprint arXiv:2308.03281},
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year={2023}
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}
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```
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