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update retrieval text
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Ziyan Jiang committed Jun 24, 2024
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Expand Up @@ -254,7 +254,7 @@ <h2 class="title is-3">Retrieval Performance</h2>
<h2 class="subtitle has-text-centered">
Figure 2: The retrieval performance on NQ.
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<p>
<p style="text-align: left;">
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.
Expand All @@ -267,7 +267,7 @@ <h2 class="subtitle has-text-centered">
<h2 class="subtitle has-text-centered">
Figure 2: The retrieval performance on HotpotQA.
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<p>
<p style="text-align: left;">
Similar to the findings on NQ, a long-context retrieval could significantly alleviate the burden on the retriever component within the entire RAG framework.
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