SePO: Self-Evolving Prompt Agent for System Prompt Optimization

In three linesSePO (Self-Evolving Prompt Optimization) optimizes agent system prompts via self-referential evolutionary search. The prompt agent improves both task agents' prompts and its own prompt. Two-stage training: multi-task pre-training + target task fine-tuning. Average accuracy gain of 4.49 points vs Manual-CoT across AIME'25, ARC-AGI-1, GPQA, MBPP, Sudoku.

Summary generated by Claude — human-verified