arxiv
PublishedNovember 2, 2026 at 5:00 AM
RangeSWA: Training-Free Length Extrapolation for Continuous Diffusion Language Models
Publisher summary· verbatim
arXiv:2610.42084v1 Announce Type: new Abstract: Continuous diffusion language models show promising potential in text generation tasks, but are prone to problems such as text repetition, semantic drift, and generation quality degradation when the generation length exceeds the training length. To add
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Originally published on arxiv ↗