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README.md
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@@ -170,6 +170,13 @@ Fair warning BGE-M3 is $ expensive to evaluate, probably that's why it's not par
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# Reference:
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- [All Cohere numbers are copied form here](https://huggingface.co/datasets/Cohere/miracl-en-queries-22-12)
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# Note on model bias:
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# Reference:
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- [All Cohere numbers are copied form here](https://huggingface.co/datasets/Cohere/miracl-en-queries-22-12)
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- [BGE M3-Embedding: Multi-Lingual, Multi-Functionality,
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Multi-Granularity Text Embeddings Through Self-Knowledge Distillation](https://arxiv.org/pdf/2402.03216.pdf)
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- [Making a MIRACL: Multilingual Information Retrieval
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Across a Continuum of Languages](https://arxiv.org/pdf/2210.09984.pdf)
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- [IndicIRSuite: Multilingual Dataset and Neural
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Information Models for Indian Languages](https://arxiv.org/pdf/2312.09508)
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# Note on model bias:
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