AI RESEARCH
Reversing the Flow: Generation-to-Understanding Synergy in Large Multimodal Models
arXiv CS.CV
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ArXi:2605.15792v1 Announce Type: new The long-standing goal of multimodal AI is to build unified models in which visual understanding and visual generation mutually enhance one another. Despite recent works such as BAGEL, BLIP3o achieves remarkable progress; In practice, however, this unification remains one-directional: understanding routinely guides generation, yet how and why generation can understanding is rarely investigated. We revisit this asymmetry and propose Generation-to-Understanding (G2U) synergy, where visual generation becomes an explicit intermediate reasoning step.