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MOSS-VL achieves a staggering 66.0 average score in proactive alerting, far surpassing the best baseline by nearly 30 points.
Transforming zero-reward training instances into valuable learning opportunities, HCGRec cuts down ineffective samples from over 70% to under 20%.
Achieving superior anatomical coherence and visual realism in 3D MRI synthesis, VoxStruct3D redefines the landscape of volumetric generation.
Achieving over 36% improvement in triplet consistency error rates, TRCoRSurg redefines how we model temporal and relational dependencies in surgical video analysis.
Forget hand-crafted assets and heuristics: V-Dreamer uses video generation models to automatically create diverse, physically plausible robotic simulation environments and trajectories directly from language.
Achieve controllable and scalable speech generation with MOSS-TTS, enabling zero-shot voice cloning and long-form synthesis.
