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A Cross-Encoder concatenates the query and candidate code snippet before feeding them together as input, achieving higher scoring accuracy than a Bi-Encoder but at greater computational cost, so it is typically used only to re-rank the Top-K candidates recalled by ANN.
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10/4/2026
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UnverifiedReranking uses a Cross-Encoder model to score candidate documents retrieved in the initial retrieval pairwise, then fine-ranks the Top-K to feed into the LLM.77% similarVerified重排序（Re-ranking）机制在初步检索后引入交叉编码器（Cross-Encoder）对候选文档重新打分，提升输入大模型的上下文质量75% similarUnverified重排序通常使用交叉编码器实现，将查询和候选文档拼接后同时输入，通常只对Top-50到Top-100候选重排，最终选取Top-3到Top-5送入生成模型72% similarUnverifiedThe computational complexity of cross-encoders is O(n²); document representations cannot be precomputed and scoring must be done online pair by pair, so cross-encoders are typically only used to rerank the top-k results returned by an initial retrieval stage.70% similarUnverified生产系统通常采用粗召回+精排的两阶段架构：Bi-Encoder召回Top20-50候选，Cross-Encoder重排后取Top3-5送入大模型66% similar
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