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MetaStone Technology, Beijing, China
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Personalized evaluation rubrics reveal that user satisfaction can diverge significantly from generic quality assessments in role-playing agents.
"Late-blooming" tokens can be crucial for deep-layer reasoning, and our method ensures they aren't discarded prematurely, achieving over 77.8% token reduction without sacrificing performance.
