SePO: Self-Evolving Prompt Agent for System Prompt Optimization 事件

SePO: Self-Evolving Prompt Agent for System Prompt Optimization arXiv:2606.04465v1 Announce Type: new Abstract: System prompt optimization improves agent behavior without modifying the underlying model, yielding human-readable, model-agnostic instructions. Existing methods build a prompt agent that refines task agents' system prompts, yet leave the prompt agent's own system prompt hand-engineered and fixed. We propose Self-Evolving Prompt Optimization (SePO), which treats the prompt agent's own