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The Hong Kong University of Science and Technology
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Counterfactual outcomes reveal that existing embodied agents miss 20% of potential success by not exploring alternative skill branches.
A mid-stack alignment objective can bind concepts in unified multimodal models with only a 0.1% loss in performance, compared to a staggering 41% loss using standard generative methods.
