jevland

benchmark source-backed

Jev reranking: saved outputs across retrieval tasks and scoring strategies

A retrieval study compares typed Jev scoring strategies with dedicated rerankers and open-model controls on the same passage candidates. Saved provider responses, query-level evidence, bootstrap intervals and an interactive viewer support inspecting each result.

On eight English datasets and 1,617 scored questions, the author reports equal-dataset nDCG@10 of 0.692 for Jev's four-level rubric and 0.691 for Cohere Rerank 4 Pro; equal-query weighting gives a different comparison.

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