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Block Parallelism For Efficient Distributed Long-Context Diffusion Language Model Training

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.19242v1 Announce Type: new Abstract: Block diffusion language models (BDLMs) combine autoregressive dependencies across blocks with parallel denoising within blocks, but long-context training is constrained by distributed attention communication and activation memory. Conventional contex…

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  1. 2026-09-18 04:00 · arXiv cs.LG
    Block Parallelism For Efficient Distributed Long-Context Diffusion Language Model Training

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