How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance 事件

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance arXiv:2604.27147v3 Announce Type: replace-cross Abstract: In generative modeling, we often wish to produce samples that maximize a user-specified reward such as aesthetic quality or alignment with human preferences, a problem known as \textit{guidance}. Despite their widespread use, existing guidance methods either require expensive multi-particle, many-step schemes or rely on poorly understood approximations. We reformulat