Repo · Benchmarks & research
jev-dllm
Shared Yes/No decision adaptation with diffusion language models.
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Shared Yes/No decision adaptation with diffusion language models
How builders describe it
Reads typed probabilities out of a masked diffusion language model: a shared Yes/No head with a mask beside each candidate answers choice, boolean and ordered-score questions without generating text. Ships an S1 checkpoint, a 17-suite benchmark and a local HTTP service.
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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