Unverified50% confidenceFactExact time
nDCG@5 takes into account the relevance grades and position discounting of the top 5 results, and normalizes by dividing by the ideal ranking score.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedHit@5 measures whether the top 5 returned results contain at least one relevant chunk, reflecting the retriever's ability to find relevant evidence.69% similarUnverifiedRRF (Reciprocal Rank Fusion) uses only the ranking position information from each retrieval path (formula RRF(d)=Σ1/(k+rank_i(d)), where k is typically set to 60), is insensitive to score distribution, and bypasses the cross-modal score alignment problem67% similarUnverifiedDataBugBench uses only a single sample per question type (denominator of 5), making the sample size small and the conclusions more suitable as trend references than as rigorous rankings.63% similarUnverifiedBy appropriately choosing τ and c, one can selectively recover either the mean or the variance of the NNGP posterior, but cannot simultaneously recover all statistical properties of the exact posterior without trade-offs.62% similarUnverifiedThe preference data that RLHF relies on has systematic flaws such as low inter-annotator agreement, position bias, and length bias.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1069279API
curl https://kongchang.com/api/v1/knowledge/claims/1069279MCP
get_claim(id=1069279)