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…
- 01.arXiv:2610.26995v1 Announce Type: new Abstract: LLM-based agents increasingly rely on reusable skills
- 02.However, scaling skill libraries makes efficient and accurate skill use difficult
- 03.Full skill loading incurs high token and runtime overhead
This material is provided as an extended analytical summary.
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