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Jev's calibration was measured. The LLMs won [D]

Source: Jev Benchmarks Its training method is literally called "Reinforcement Learning for Calibrated Decisions." Calibration gap vs human labels (lower = better): Yes/no: Jev 5.0, Gemini 3.8 Flash 2.0 Pick-one: Jev 9.8, DeepSeek V4.1 Flash 2.8 Rubric: Jev 19.7, GLM-5.3 12.9 It held to 95% accuracy…

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Timeline · 2 reports

  1. 2026-09-21 22:21 · r/learnmachinelearning
    Jev's calibration was measured. The LLMs won
  2. 2026-09-21 22:20 · r/MachineLearning
    Jev's calibration was measured. The LLMs won [D]

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