arxiv
PublishedJune 27, 2026 at 4:00 AM
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Semantic Generative Tuning for Unified Multimodal Models
Publisher summary· verbatim
arXiv:2605.18714v2 Announce Type: replace-cross Abstract: Unified multimodal models (UMMs) strive to consolidate visual understanding and visual generation within a single architecture. However, prevailing training paradigms independently optimize understanding via sparse text signals and generation
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Originally published on arxiv ↗