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A systematic diagnostic approach reveals that targeted interventions can significantly enhance AVLM performance in video moderation, moving beyond mere trial-and-error fixes.
Explicitly modeling the asymmetry between information growth and action expiration can drastically improve decision-making efficiency in complex environments.