Repo · Benchmarks & research
Typed Decisions
A research reproduction of the Jev question shape — Choice, Score and Noul answered in one forward pass — trained and measured side by side on…
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Jev-shaped typed-decision model (state + Choice/Score/Noul questions -> calibrated probabilities, one pass) on ModernBERT / DeBERTa / LLaDA-MoE, with measured latency, accuracy, calibration and training cost
How builders describe it
A research reproduction of the Jev question shape — Choice, Score and Noul answered in one forward pass — trained and measured side by side on encoder backbones and a diffusion LLM, with accuracy, calibration, latency and training cost in one table.
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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