Unverified50% confidenceSolutionExact time
Top-K的K值应通过离线评估确定,在标注测试集上统计不同K值下的召回率(Recall@K),找召回率曲线趋于平缓的拐点
1
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50%
Confidence
Long-term
Relevance
9/16/2026
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UnverifiedTop-K 预计算的 K 值通常取 5–20 之间的小值,与用户界面展示的建议条数对齐,索引体积随 K 值增大而线性增长77% similarUnverifiedK折交叉验证的K通常取5或10,这在偏差-方差权衡上被实证为较优选择73% similarVerifiedTop-P(核采样)从累积概率超过阈值P的最小token集合中采样,Top-K仅从概率最高的K个候选中选择67% similarUnverifiedTop-K SAE在编码过程中只保留激活值最高的K个特征,其余强制置零,从而强制模型学习稀疏表示66% similarUnverifiedTop-K SAE的K值选择通常在32-256之间,取决于模型规模和分析粒度需求64% similar
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