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README.md
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```
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## Acknowledgement
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Thanks to the authors of open-sourced datasets, including Miracl, MKQA, NarritiveQA, etc.
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Thanks to the open-sourced libraries like [Tevatron](https://github.com/texttron/tevatron), [Pyserini](https://github.com/castorini/pyserini).
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## Citation
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If you find this repository useful, please consider giving a star
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```
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@misc{
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title={BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation},
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author={Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},
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year={2024},
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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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```
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## Citation
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If you find this repository useful, please consider giving a star and citation
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```bibtex
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@misc{li2023making,
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title={Making Large Language Models A Better Foundation For Dense Retrieval},
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author={Chaofan Li and Zheng Liu and Shitao Xiao and Yingxia Shao},
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year={2023},
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eprint={2312.15503},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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@misc{chen2024bge,
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title={BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation},
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author={Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},
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year={2024},
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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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```
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