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News/Bifocal Diffusion Language Models: Asymmetric Bidirectional Context for Parallel Generation
arxiv
PublishedJune 29, 2026 at 4:00 AM
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Bifocal Diffusion Language Models: Asymmetric Bidirectional Context for Parallel Generation

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arXiv:2606.27732v1 Announce Type: cross Abstract: Discrete diffusion language models (dLLMs) recover masked tokens in parallel, offering significant speedups over autoregressive (AR) generation. However, such promising frameworks face a fundamental architectural design dilemma: \ding{182} Adopting b

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