Masked diffusion models are equivalent to polynomially-padded PLTs, solve all CoT-augmented transformer problems, and are more efficient than CoT for regular languages due to parallelism.
Zhiyuan Li, Hong Liu, Denny Zhou, and Tengyu Ma
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
On the Reasoning Abilities of Masked Diffusion Language Models
Masked diffusion models are equivalent to polynomially-padded PLTs, solve all CoT-augmented transformer problems, and are more efficient than CoT for regular languages due to parallelism.