LLaCO aligns continuous text diffusion with token competition
An 8B LLaCO model uses spherical noising and semantic retention scheduling and is reported to rival comparable discrete diffusion models.
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An 8B LLaCO model uses spherical noising and semantic retention scheduling and is reported to rival comparable discrete diffusion models.
The MIT-licensed text-generation upload has 156 likes and only 3 downloads; no evals or base-model changes are described.
With 32 bits in 300 tokens, authors report 90.01% extraction accuracy after paraphrasing while preserving text quality.
Next-Concept Modeling generates text coarse-to-fine in parallel, up to 31 times faster than diffusion language models.
Human linguistics introductions vary more in CARS moves than LLM versions, which grow more rigid when given the definitions.
TANGO watermarks masked diffusion language models via token pairs, resisting frequency attacks that forge fixed green lists.
OrcaSAQ-2-Cyber-27B-Uncensored GGUF, a 27B text model, is trending on Hugging Face.
FLEET matches repeated sampling accuracy at 3x speed and raises LiveCodeBench Pass@32 from 59.9% to 66.2%.
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