Dream 7B: Diffusion Large Language Models
paper
Fields
id
sources/arch-dream-7bPublisher
Ye et al. (arXiv)
Kind
paper
Published
2025-08-21
Accessed
2026-10-03
notes
Iterative denoising of a whole sequence rather than one token per forward pass; 'tunable quality-speed trade-offs' via the number of inference steps; AR-based LLM initialisation and context-adaptive token-level noise rescheduling.
Notes
Iterative denoising of a whole sequence rather than one token per forward pass; 'tunable quality-speed trade-offs' via the number of inference steps; AR-based LLM initialisation and context-adaptive token-level noise rescheduling.
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