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README.md
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All evaluations were conducted using the open-source **[Korean-MTEB-Retrieval-Evaluators](https://github.com/BM-K/Korean-MTEB-Retrieval-Evaluators)** codebase to ensure consistent dataset handling, indexing, retrieval, and NDCG@k computation across models.
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Our model, **telepix/PIXIE-Splade-Preview**, achieves strong performance across most metrics and benchmarks,
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demonstrating strong generalization across domains such as multi-hop QA, long-document retrieval, public health, and e-commerce.
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All evaluations were conducted using the open-source **[Korean-MTEB-Retrieval-Evaluators](https://github.com/BM-K/Korean-MTEB-Retrieval-Evaluators)** codebase to ensure consistent dataset handling, indexing, retrieval, and NDCG@k computation across models.
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### 6 Datasets of MTEB (Korean)
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Our model, **telepix/PIXIE-Splade-Preview**, achieves strong performance across most metrics and benchmarks,
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demonstrating strong generalization across domains such as multi-hop QA, long-document retrieval, public health, and e-commerce.
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