Unverified50% confidenceFactExact time
recall@5 measures whether the top 5 chunks returned by retrieval include the golden chunk that can answer the question, and it directly reflects whether the chunk boundaries are correct.
1
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50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
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Related Claims
UnverifiedRecall@K measures whether relevant documents appear in the top K results, while MRR measures the ranking position of the first relevant result.64% similarUnverifiedRecall@K refers to the proportion of relevant documents contained in the top K returned results, with K usually taken as 5, 10 or 20, used to measure whether a retrieval system 'found what should have been found'.61% similarUnverifiedThe value of K in Top-K should be determined through offline evaluation by measuring Recall@K at different K values on an annotated test set and finding the inflection point where the recall curve begins to flatten.60% similarUnverifiedThe component validation gate outputs three metrics: pass@1 (proportion passing validation on the first attempt), pass@repair (proportion mountable after one repair), and reject rate (proportion that should fall back to text).58% similarUnverifiedOn the LongMemEval multi-hop task, strict recall@5 performs as follows: 78.8%->85.2% with 5 chunks, 87.2%->92.8% with 10 chunks, and flat at 20 chunks.57% similar
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