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MLT-Dedup slashes online video repetition rates by 91% while boosting indexing capacity fivefold, revolutionizing deduplication efficiency.
Distilling black-box video generators into autoregressive models doesn't require teacher scores or complex alignment鈥攋ust cleverly paired rollouts and a discriminator.
A confidence-based gating mechanism lets a 14B parameter reward model outperform 70B parameter models, achieving a new accuracy-efficiency Pareto frontier.
