Memory by Design: Probabilistic Sequence Layers
arXiv新论文:用概率序列层实现有记忆的序列建模,设计思路新颖
arXiv:2605.31163v1 Announce Type: cross Abstract: We introduce the design-model framework: a way to derive efficient recurrent sequence maps from expl…
arXiv新论文:用概率序列层实现有记忆的序列建模,设计思路新颖
arXiv:2605.31163v1 Announce Type: cross Abstract: We introduce the design-model framework: a way to derive efficient recurrent sequence maps from expl…
用语义强化学习调优大模型,实现可泛化的时间序列行为建模,心理健康领域验证效果
arXiv:2605.21295v1 Announce Type: new Abstract: Longitudinal passive sensing enables continuous health prediction, yet models often fail under cross-d…
提出可并行化的记忆循环单元,突破传统RNN序列计算瓶颈,显著提升训练效率
arXiv:2601.09495v3 Announce Type: replace Abstract: With the emergence of massively parallel processing units, parallelization has become a desirable …
这篇论文提出了利用自回归序列模型进行条件属性估计的新方法,直击生成模型在全局结构控制上的痛点,值得关注。
arXiv:2605.14004v1 Announce Type: new Abstract: Generative models are often trained with a next-token prediction objective, yet many downstream applic…