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V evaluation systems. Numerous benchmarks have been proposed to evaluate T
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Current text-to-long-video evaluation metrics can't reliably assess video quality, failing to match human judgment in 9 out of 10 tested degradation aspects.
Greedy off-policy learning, optimal in theory, can fail spectacularly when supplies are limited, but a simple fix鈥攑rioritizing items with high *relative* reward鈥攃an restore performance.
