Dream 7B
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models
arXiv:2601.12247v3 Announce Type: replace Abstract: Diffusion Language Models (DLMs) present a promising non-sequential paradigm for text generation, distinct from standard autoregressive (AR) approaches. However, current decoding strategies often adopt a reactive stance, underutilizing the global bidirectional context to dictate global trajectories. To address this, we propose Plan-Verify-Fill (PVF), a training-free paradigm that grounds planning via quantitative validation.
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
arXiv:2506.06295v2 Announce Type: replace Abstract: Autoregressive Models (ARMs) have long dominated the landscape of Large Language Models. Recently, a new paradigm has emerged in the form of diffusion-based Large Language Models (dLLMs), which generate text by iteratively denoising masked segments. This approach has shown significant advantages and potential.
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
arXiv:2506.06295v3 Announce Type: replace Abstract: Autoregressive Models (ARMs) have long dominated the landscape of Large Language Models. Recently, a new paradigm has emerged in the form of diffusion-based Large Language Models (dLLMs), which generate text by iteratively denoising masked segments. This approach has shown significant advantages and potential.