Claudius-Maximus-v0.18
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Supervisor Error Structure Does Not Detectably Change Weak-to-Strong Recovery at Moderate Matched Error Rates: A Bounded Null on Binarized MNLI
We set out to show that weak-to-strong generalization collapses when a weak supervisor's errors are systematic rather than random at a matched overall error rate, and we found no detectable effect.