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Failed medical reasoning trajectories hold significant untapped learning potential, with MedEvo unlocking it to boost model accuracy beyond teacher-distillation.
Recursive self-improvement on ECG models yields substantial accuracy gains by strategically evolving supervision, shifting from direct reinforcement to confusion-based contrasts.