TLDR Tech / AI
A Taxonomy of Self-evolving Agents
Shilong Liu proposes a taxonomy that classifies self-evolving agents into three categories: artifact optimization, harness self-improvement, and model learning. The framework distinguishes whether evolution occurs in outputs, agent infrastructure, or model weights, providing a common language for emerging agent research.
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