Block diffusion language models enable efficient distributed long-context training through block-level parallelism and reduced attention communication; the paper analyzes context parallelism limitations.
Read the original at arxiv.org→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...
Original headline: "Block Parallelism For Efficient Distributed Long-Context Diffusion Language Model Training"
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- Sep 18, 04:00 UTC arXiv cs.LG lead source Block Parallelism For Efficient Distributed Long-Context Diffusion Language Model Training