掩码扩散模型可任意顺序生成关卡，绕开求解器直接产出可解推箱子难题，值得一看。
arXiv:2608.15958v1 Announce Type: new Abstract: Deciding whether a Sokoban puzzle is solvable is PSPACE-complete (Culberson, 1997): solutions can be e…
揭秘掩码扩散语言模型并行解码的脆弱性，提出关注度折扣自适应采样器提升效率与安全。
arXiv:2606.10829v1 Announce Type: cross Abstract: Masked diffusion language models can reduce inference steps by revealing multiple tokens per denoisi…
前沿论文探讨掩码扩散语言模型中的知识编辑方法，为AI模型动态更新提供新思路
arXiv:2606.03924v1 Announce Type: new Abstract: Knowledge editing aims to update or correct factual knowledge in a language model. A widely used appro…
结合联合嵌入预测与掩码扩散，提出全新语言模型预训练架构
arXiv:2606.00091v1 Announce Type: cross Abstract: Joint Embedding Predictive Architectures (JEPAs) have reshaped self-supervised representation learni…
可证明自校正的掩码扩散微调方法，提升生成模型可靠性的创新框架
arXiv:2510.01384v4 Announce Type: replace Abstract: A natural desideratum for generative models is self-correction--detecting and revising low-quality…