Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata
Published in NAACL 2024 Main
We introduce Control-DAG, a constrained decoding method for non-autoregressive Directed Acyclic T5 using weighted finite state automata. This enables efficient constrained generation while maintaining the speed advantages of non-autoregressive models.
Recommended citation: J. Chen, W. Lin, J. Mei, B. Byrne. "Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata." NAACL 2024 Main.
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