Hugging Face proposes latent reasoning in continuous space for unified multimodal models

Unified Multimodal Models succeed on diverse tasks but struggle to apply language chain‑of‑thought reasoning to image generation; existing reasoning‑augmented UMMs fail to inherit test‑time scaling and fine‑grained controllability of large language models, attributed to a modality mismatch where reasoning occurs in a discrete token space.