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Native unified modelling is position as a promising path towards systems that perceive, reason and create within a fully end-to-end framework through SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and generates visual content within an encoder-free and VAE-free architecture.
FoRIS redefines in-context segmentation by transforming it into a progressive refinement process, achieving state-of-the-art results without the need for training.
Achieving top-tier regression performance while drastically reducing computational costs, Xiaomi-TabLDM sets a new benchmark for efficiency in tabular data modeling.
Models trained with VBVR-Pro not only excel in a controlled task space but also show significant transferability to external benchmarks, revealing critical insights into visual reasoning mechanisms.
