Comparing MC-BiDAF++ and MC-MemNet on the multiple-choice setting of both datasets as shown in Table 3, the models appear to have similar capabilities to learn multi-hop reasoning.
looking at the no-context baseline for comparison, we find that it is only around 2% lower than the two relatively more complex models.