DLMs as Optimal Parallel Samplers: A Theoretical Justification
Analysis
Key Takeaways
- •DLMs are theoretically optimal parallel samplers.
- •CoT enhances DLM performance.
- •Remasking and revision are crucial for optimal space complexity and expressivity.
- •The paper provides a theoretical justification for the efficiency of DLMs.
“DLMs augmented with polynomial-length chain-of-thought (CoT) can simulate any parallel sampling algorithm using an optimal number of sequential steps.”