A candidate-scoring head returns distributions for gates, routes and scores without decoding prose or JSON answers. The README compares a benchmark-trained AgentJev specialist with Jev 1.13.0 evaluated zero-shot; these use different training conditions.
jev-search-rerank-eval: Does a TypeSafe Jev rerank beat embedding
zhuyansen/jev-search-rerank-eval
VerifiedResearchDocumented
jev-search-rerank-eval: Does a TypeSafe Jev rerank beat embedding search. Explore the Jev references, Python source code and similar projects.
Repository description: Does a TypeSafe Jev rerank beat embedding search? Graded relevance eval (9,831 pairs, 164 zh/en queries) over the Agent Skills Hub catalog, with the judge-circularity bias measured.
What you can build with it
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/zhuyansen/jev-search-rerank-eval.gitProject facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-18
- Last code update
- 2026-09-18
- GitHub stars
- 9
- Evidence checked
- Sep 28, 2026
- Metadata checked
- Sep 28, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
Jev model: `typesafe/jev-1.13-20260917` (the only id seen across labelling and evaluation).
Evidence commit: c896f14e944182e17a002dd7546f06ba3788d586
Discovered through: awesome-jev.
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