Papers with search-based decoding algorithm
Diving into the Decoding Space of Non-Autoregressive Models via Lexically Constrained Search (2026.acl-short)
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| Challenge: | Non-autoregressive (NAR) models have been mainly developed to improve decoding efficiency. |
| Approach: | They propose a search-based decoding algorithm which is comparable to the autoregressive Grid Beam Search (GBS) method. |
| Outcome: | The proposed method does not suffer from the MAP degradation issue as the autoregressive method does. |