实践方面：基于理论分析，在实践中取得了改进。在计算资源相当的情况下，优化训练目标达到了当前最优的性能。同时，通过引入均匀噪声，提高了样本质量，并实现了自校正能力（见图1和表1）。

我觉得是一件非常好的事情，在如今Transformer的autoregressive范式盛行的大背景下，能够有一些non-autoregressive的alternatives来作为竞品，应该是大家喜闻乐见的事。

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