bidirectional-attention

DeepMind研究员Brendan O'Donoghue深入介绍文本扩散模型，通过迭代去噪生成文本，相比自回归模型延迟更低但吞吐量受限，并展示自修正和动态计算等独特优势。

This paper proposes BiCache, a novel KV caching technique for shared prefixes in diffusion language models, which avoids accuracy collapse by dynamically reusing cached keys and values in shallow layers and achieves 36.3%–98.3% throughput improvement.