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Cognitive differentiation of skills for self-improving agents

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In brief

  1. CDSE differentiates agent skills into four functional roles (Meta, Experience, Tool, Script).
  2. The method boosts scores across six benchmarks with three agent models, +7.6 points vs baseline.
  3. 96.8% of the top 500 skill packages contain multi-role knowledge.

A new method, CDSE, enables LLM-based agents to evolve by functionally differentiating their skills. It improves performance across six benchmarks with three agent models by organizing knowledge by role (Meta, Experience, Tool, Script).

This summary gives you the essentials. The full article, its figures and quotes are on cs.AI updates on arXiv.org.

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