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cs.LG2026
Fixed State, Long Reach: What a Constant-Size Cache Buys Block Diffusion at Scale
Vaibhav Singh, Pierre-André Noël, Torsten Scholak +2
Diffusion language models decode tokens in parallel, but their bidirectional denoiser rules out the naive key--value (KV) cache behind fast autoregressive inference. Block diffusio…
cs.LG2026
Heterogeneous Low-Bandwidth Pre-Training of LLMs
Yazan Obeidi, Amir Sarfi, Joel Lidin +2
Pre-training large language models (LLMs) increasingly requires distributed compute, yet bandwidth constraints make it difficult to scale beyond well-provisioned datacenters-especi…