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README.md

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@@ -81,3 +81,14 @@ python3 test_chunked_eval.py {TASK_NAME}
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Thanks to Isabelle Mohr([@violenil](https://github.com/violenil)) for contributing some code and Scott Martens ([@scott-martens](https://github.com/scott-martens)) for reviewing the README.
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More about the Evaluation tasks can be found in the [MTEB Repository](https://github.com/embeddings-benchmark/mteb) and details about the training of the models for long input text in our paper: ["Jina embeddings 2: 8192-token general-purpose text embeddings for long documents."](https://arxiv.org/abs/2310.19923)
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If you find Late Chunking useful in your research, use can cite the paper [Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models](https://arxiv.org/abs/2409.04701):
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```
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@article{gunther2024late,
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title={Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models},
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author={G{\"u}nther, Michael and Mohr, Isabelle and Wang, Bo and Xiao, Han},
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journal={arXiv preprint arXiv:2409.04701},
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year={2024}
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}
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```

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