PIG: Parallel Inconsistency Guidance for Accelerating Diffusion Language Models
Parallel Inconsistency Guidance (PIG), a new paradigm that uses a trained auxiliary model to directly estimate the inconsistency between parallel and sequential generation from a single model forward pass, is proposed.
Quentin Fruytier, Anton Xue, Sanjay Shakkottai et al.
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