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This work proposes SkillCome, a Skill-evolution method based on group Contrast optimization with dual memory that builds a systematic optimization process that transforms experience from observed successful trajectories into reusable skills.
RPS is proposed, a novel training-free decoding method that seeks mid-entropy positions as promising candidate pivots (where to decode), and determines their token assignment that yields the greatest downstream benefit via lookahead evaluation (what to decode).
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