Aside from the advantages brought by adopting the single label classification setting, we can see one disadvantage of this setting based on Table 2.
the performance upper bounds of our proposed model are no longer 100%: for example, the best strict accuracy we can get in this setting is 88.28% for FIGER(GOLD).