ReFusion: A Novel Diffusion LLM Leveraging Parallel Decoding

This research introduces a novel architecture that merges diffusion models with large language models, aiming for improved efficiency. The parallel autoregressive decoding approach is particularly interesting for accelerating the generation process.

• •Proposes a new model architecture combining diffusion models and LLMs.
• •Employs parallel autoregressive decoding to potentially enhance generation speed.
• •The paper is available on ArXiv, indicating early-stage research.