SPIN Unprocessed July 7, 2026 ai_technology research
Training Hybrid Block Diffusion Language Models with Partial Bidirectionality
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arXiv:2607.02805v1 Announce Type: new Abstract: High-throughput long-context generation is one of the central challenges for large language models. Generation is typically memory-bandwidth-bound rather than compute-bound: each decoding step must stream the accumulated key/value (KV) cache from memory, so bandwidth demand grows with context length while only one token is emitted. Two parallel approaches have therefore emerged: reducing memory access with efficient attention variants and linear-ti
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