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Jev project · Benchmarks & research

jev-korean-benchmark

mahlernim/jev-korean-benchmark

Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence.

View on GitHub ↗Project website ↗
The same questions in Korean and in English
Demo from the project README · view README ↗
GitHub stars
6 as of 2026-09-22
Forks
0
Language
Python
License
Check upstream
Created
2026-09-17
Last updated on GitHub
2026-09-17
Added to AionEdge
2026-09-19
Built by this developer
Sangzin Ahn

What Jev does in jev-korean-benchmark

The project describes itself this way: Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence. 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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