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Yangi Pan on Muck Rack

Yangi Pan

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Articles

Computer Science > Distributed, Parallel, and Cluster Computing

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By Weihao Yang, Yangi Pan, Peixin Zeng
| arXiv
Agent evolution through skills becomes critical for LLM-based agents to iteratively improve task success rate. Hybrid evolution is a cost-efficient paradigm where a cloud LLM analyzes and generates skills while an edge SLM executes and internalizes them. However, existing hybrid methods, such as SkillRL, still suffer from low success rate and high token usage.
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