Accelerating Autoregressive Generation with Entropy-Informed Framework
Analysis
This research paper introduces a new framework, Fast-ARDiff, designed to accelerate autoregressive generation. The framework leverages entropy information, suggesting a focus on efficiency and improved performance in generation tasks.
Key Takeaways
- •Fast-ARDiff aims to improve the efficiency of autoregressive generation.
- •The framework utilizes entropy information, suggesting a novel approach.
- •The paper is sourced from ArXiv, indicating a focus on research.
Reference
“Fast-ARDiff is a framework for continuous space autoregressive generation.”