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arXiv — cs.AI

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SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents

arXiv:2610.26995v1 Announce Type: new Abstract: LLM-based agents increasingly rely on reusable skills. However, scaling skill libraries makes efficient and accurate skill use difficult. Full skill loading incurs high token and runtime overhead. In contrast, flat semantic…

arXiv — cs.AIBy: Ran Zhou, Zehui Kong, Fanyu Lin, Jiaheng Liu, Zhen Zhang, Yuxiang RenOctober 21, 2026 (yesterday)
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AI Summary & Key Takeaways

  • arXiv:2610.26995v1 Announce Type: new Abstract: LLM-based agents increasingly rely on reusable skills
  • However, scaling skill libraries makes efficient and accurate skill use difficult
  • Full skill loading incurs high token and runtime overhead
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SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents

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