Show HN: DoubtBench – does Jev know when humans disagree?
Category: ai-ml
Tags: benchmark, uncertainty, calibration, human-annotation, evaluation
Score: 6.5/10 (Innovation: 7, Technical: 6, Documentation: 7, Utility: 6)
DoubtBench is a benchmark that evaluates decision models not just on accuracy but on whether their uncertainty aligns with human disagreement, using NVIDIA's HelpSteer2 dataset. It provides a leaderboard and tooling to run models like Jev and Claude, revealing that no current model hesitates where humans disagree, which is crucial for human-in-the-loop systems.
Target audience: AI researchers, ML engineers, data scientists
Repository: https://github.com/deeplearningguy/doubtbench · Python · MIT · 3 stars
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