Repo · Benchmarks & research
Jev No Enem
A public benchmark that scores Jev 1.13.0 on the Brazilian ENEM 2025 exam against open autoregressive baselines, reporting accuracy per subject area…
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Reproducible benchmark evaluating TypeSafe AI's Jev (System One paradigm) on Brazil's ENEM 2025 standardized exam. Evaluates typed decision-making, domain-specific accuracy, and RLCD uncertainty calibration against open LLM baselines with an interactive GitHub Pages dashboard.
benchmarkbrasilenemjevllmrlcdsystem-one-models
How builders describe it
A public benchmark that scores Jev 1.13.0 on the Brazilian ENEM 2025 exam against open autoregressive baselines, reporting accuracy per subject area plus Expected Calibration Error, with a second pass that lets the model reject an item.
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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