Steering Visual Generation in Unified Multimodal Models with Understanding Supervision

ArXi:2605.05781v1 Announce Type: new Unified multimodal models are envisioned to bridge the gap between understanding and generation. Yet, to achieve competitive performance, state-of-the-art models adopt largely decoupled understanding and generation components. This design, while effective for individual tasks, weakens the connection required for mutual enhancement, leaving the potential synergy empirically uncertain. We propose to explicitly re this synergy by