PyINE turns Python programs into mechanically verifiable oversight tasks.
Code execution exposes oversight failures hidden by aggregate benchmarks
PyINE uses traceable Python programs to test whether oversight methods detect models that follow misleading surface cues instead of actual execution.
Industry
Pierre-Luc St-Charles · Alessandro Palmas · Damiano Fornasiere · Storm Lei · Mirko Bronzi · Jean-Pierre Falet · +2 more
LawZero
Research Digest··2 min read
The authors introduce PyINE, an experimental framework in which instrumented Python execution supplies authoritative labels for model predictions, intermediate claims and oversight decisions.
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Cheap learned overseers miss rare shortcut-driven errors even when aggregate performance appears strong.
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