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Preprint Sep 2026

HyDra: Demystifying and Taming Dynamic Context Parallelism at Production Scale

Long-context training runs on sequences whose lengths span orders of magnitude, and dynamic context parallelism (DCP) gives each sequence its own CP degree. Existing DCP systems either do not scale or perform poorly on mainstream models, leaving Megatron-Core (Mcore) DCP as the only option at production scale. Mcore DC...

Zi-Hao Fan, Yun-Zhuo Liu, Bo Jiang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

How Should Diffusion Language Models Edit Code?

Code editing requires a model to decide where to make changes, generate the new content, and preserve everything else. We study how masked diffusion language models divide these responsibilities across four editing interfaces: whole-file rewriting, search-and-replace, locate-then-infill, and token-level editing. Experi...

Xi-Jia Tao, Zi-Rui Liu, Shansan Gong et al. · 0 citations

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