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A single visual world model can now execute complex procedural tasks end-to-end, adapting its generation to the actual outcome of each predicted action.
Binarization methods that ignore weight significance can lead to substantial performance losses, but SAB-LVLM optimizes this process, achieving superior efficiency without sacrificing accuracy.
