FlexUMM: Unified Multimodal Models Aren't So Unified in Embedding Space
jindong_wang92 · x · 2026-10-30
Jindong Wang and coauthors introduce FlexUMM, a paper showing that unified multimodal models (UMMs) harbor task-preferential embeddings despite shared structure: some dimensions favor understanding, others generation. FlexUMM dynamically decides when to keep shared computation, route specialized capacity, or stop early — reducing harmful cross-functional competition for better accuracy while skipping redundant computation for efficiency. It works as a model-agnostic plug-in for existing UMMs. Paper and code available.
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