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+ Employing a long-context retriever (with an average number of tokens for each retrieval unit up to 6K) compresses the corpus size by up to 30 times (from 22M to + 600K), enhancing top-1 answer recall by approximately 20 points (from 52.24 to 71.69). Furthermore, long-context retrieval requires significantly fewer retrieval + units (10 times fewer) to achieve comparable results. Therefore, integrating long-context retrieval significantly alleviates the burden on the retriever model. +

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