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Personalized evaluation rubrics reveal that user satisfaction can diverge significantly from generic quality assessments in role-playing agents.
MLLMs can now reason about streaming video with significantly improved accuracy and reduced output length thanks to a novel memory-anchored framework that overlaps watching and thinking.
