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A novel tri-stream transformer architecture unlocks synergistic control by enabling a dedicated action expert to selectively fuse semantic and dynamics information from independent VLM and World Model streams.
Agreement among multiple OCSR models delivers a staggering AUROC of 0.916, far surpassing traditional pixel-space verification methods.
ACE-Brain-0.5 unifies spatial reasoning and action generation in embodied AI, achieving remarkable performance improvements across multiple benchmarks.
LLMs can reason better when they're not forced to answer in English, and a new RL method leverages this quirk to boost performance across reasoning tasks.