Adaptive Classifier-Free Guidance (A-CFG) re-masks low-confidence tokens in the unconditional input at each generation step, improving reasoning and planning accuracy for masked diffusion language models.
Piqa: Reasoning about phys- ical commonsense in natural language
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Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
Adaptive Classifier-Free Guidance (A-CFG) re-masks low-confidence tokens in the unconditional input at each generation step, improving reasoning and planning accuracy for masked diffusion language models.