Repo · Benchmarks & research
Spam Eval
Test spam detection against simpler baselines.
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Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines
How builders describe it
Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines.
An exploratory study of zero-shot ham, spam, and phishing classification with Jev: enriched email context raised main-set accuracy from 93.62% to 98.64%, within 0.23 points of a trained TF-IDF baseline.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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