LatentUMM Fixes Semantic Drift in Unified Multimodal Models via Dual Latent Alignment

LatentUMM addresses functional inconsistency in unified multimodal models by explicitly aligning the encoding and decoding transformations in a shared latent space, reducing semantic drift across modality transitions.