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# rank1-7b: Test-Time Compute for Reranking in Information Retrieval
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📄 [Paper](https://arxiv.org/abs/2502.18418) |
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rank1 is a reasoning reranker model that "thinks" before making relevance judgments. This 7B parameter model is trained from the Qwen2.5-7B base model and leverages test-time compute to generate reasoning chains before deciding if a document is relevant to a query.
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# rank1-7b: Test-Time Compute for Reranking in Information Retrieval
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📄 [Paper](https://arxiv.org/abs/2502.18418) | 🚀 [GitHub Repository](https://github.com/orionw/rank1)
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rank1 is a reasoning reranker model that "thinks" before making relevance judgments. This 7B parameter model is trained from the Qwen2.5-7B base model and leverages test-time compute to generate reasoning chains before deciding if a document is relevant to a query.
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