RaDeR (Reasoning-aware Dense Retrieval) is a research model specifically trained on datasets that require reasoning, enabling it to learn how to retrieve relevant theorems and principles during intermediate reasoning steps. This approach allows the retriever to better generalize to diverse reasoning-intensive retrieval tasks.
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RaDeR
RaDeR (Reasoning-aware Dense Retrieval) is a research model specifically trained on datasets that require reasoning, enabling it to learn how to retrieve relevant theorems and principles during intermediate reasoning steps. This approach allows the retriever to better generalize to diverse reasoning-intensive retrieval tasks.
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