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KV-Skill: Forging Expertise in the Model's Native Language

arXiv cs.LG · 4d ago Cached

This paper introduces KV-Skill, a design space of external factorized operators that frozen language models read through a lightweight interface, enabling task knowledge to be acquired from text or rewards and deployed independently. Experiments across ten benchmarks show consistent improvements over text skills, prefix tuning, and LoRA, with composable loadable skills.

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