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README.md
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@@ -19,4 +19,16 @@ Model weights for the JaColBERTv2.4 checkpoint, which is the pre-post-training v
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This model largely outperforms all previous approaches, including JaColBERTV2 multilingual models such as BGE-M3, on all datasets.
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This page will be updated with the full details and the model report in the next few days.
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This model largely outperforms all previous approaches, including JaColBERTV2 multilingual models such as BGE-M3, on all datasets.
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This page will be updated with the full details and the model report in the next few days.
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```
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@misc{clavié2024jacolbertv25optimisingmultivectorretrievers,
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title={JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources},
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author={Benjamin Clavié},
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year={2024},
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eprint={2407.20750},
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archivePrefix={arXiv},
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primaryClass={cs.IR},
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url={https://arxiv.org/abs/2407.20750},
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}
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```
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