Repo · Benchmarks & research
zh-decision-bench
Chinese-language calibration benchmark for Jev-class System One decision models (dataset CC BY 4.0; code Apache-2.0), including Jev and NeoHorse arms
Open github.com ↗From the repository
First Chinese-language calibration benchmark for Jev-class 'System One' decision models: dataset (CC BY 4.0), 5-model eval incl. Jev & NeoHorse, temperature refit, robustness tests
benchmarkcalibrationchinesechinese-nlpdecision-modelsdistractor-robustnessevaluationhuggingfacelayallmmultilingualneohorseprompt-injectionrobustnesssystem-one
How builders describe it
First Chinese-language calibration benchmark for Jev-class 'System One' decision models: dataset (CC BY 4.0), 5-model eval incl. Jev & NeoHorse, temperature refit, robustness tests.
The first Chinese-language calibration benchmark for Jev-class System One decision models: 378 items and 467 questions across voice routing, e-commerce service and content moderation, with accuracy, ECE, Brier, NLL, AUROC, option-order and zh-CN/zh-TW robustness metrics.
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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