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Achieving up to 338x faster inference, EOVSAM redefines open-vocabulary segmentation without sacrificing accuracy.
Token-oriented inference optimizations can cut production costs and boost efficiency, transforming large model services from merely callable to fully operable.
HiMPO assigns less-entangled credit to memory updates, significantly boosting long-horizon agent performance while minimizing blame leakage from errors.
