Probably because of this, there is very little literature or understanding of the effect of order among the training examples-strict ordering of examples has simply been known to be undesirable.
as neural network approaches increasingly dominate in performance across many NLP tasks, the notion of random shuffling has become overshadowed by that of computational efficiency.