This is likely because synthetic beam and greedy data does not provide as much training signal as the bitext which has more variation and is harder to fit.
sampling and beam+noise require no upsampling of the bitext, which is likely because the synthetic data is already hard enough to fit and thus provides a strong training signal ( §5.2).