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Jev project · Benchmarks & research

jev-eval

onlyoneaman/jev-eval

TypeSafe's Jev vs gpt-5.4-mini and gpt-5.6-luna on four public classification sets: cases, per-item answers, scoring, charts

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Jev's accuracy minus the better LLM, per dataset
Demo from the project README · view README ↗
GitHub stars
0 as of 2026-09-22
Forks
0
Language
TypeScript
License
MIT
Created
2026-09-18
Last updated on GitHub
2026-09-18
Added to AionEdge
2026-09-22
Built by this developer
Aman

What Jev does in jev-eval

The project describes itself this way: TypeSafe's Jev vs gpt-5.4-mini and gpt-5.6-luna on four public classification sets: cases, per-item answers, scoring, charts In the Benchmarks & research category, Jev typically decides labels and probabilities on fixed test sets, so accuracy, calibration and latency can be measured.

Verification

Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.

How Benchmarks & research projects use Jev

Benchmarks and research projects test Jev rather than just use it. They compare it with language models and other classifiers, check whether its probabilities are well calibrated, and explore where the decision-model approach breaks down.

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Where we found it