Using BERT-like predictions to preview future positions reduces autoregressive LLM calls and increases the count of feasible solutions inside the GenCP constrained text generation framework, on the tasks tested.
Bartoldson, Bhavya Kailkhura, and Ferdi- nando Fioretto
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Large Language Model Meets Constraint Propagation
Using BERT-like predictions to preview future positions reduces autoregressive LLM calls and increases the count of feasible solutions inside the GenCP constrained text generation framework, on the tasks tested.