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.
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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.