This illustrates a mechanism by which search-aware training of globally normalized models in a large search spaces might  Soft Beam Computation Soft-k-argmax be more effective.
as discussed earlier, if we can perform exact search then this label bias ceases to exist because both the models have the same expressive power with a search-agnostic optimization scheme.