Evaluate Self-Meta-Evolve Against Expert Human Prompt Editing

Establish whether automated one-shot editing with Self-Meta-Evolve provides a benefit over capable human prompt editing.

Background

The paper evaluates an automated one-shot editing condition in which the initial structured extraction prompt and first-document AI-User feedback are used to produce exactly one edit plan without further iteration. This comparison measures automated revision but does not include expert human prompt engineers. Consequently, the relative effectiveness of Self-Meta-Evolve’s editing process versus capable human editing remains unresolved. The question is relevant for determining whether the proposed automated adaptation method offers an advantage over practical human prompt-engineering workflows.

References

Establishing the benefit over capable human editing remains an open evaluation question.

— One Prompt Does Not Fit All: Self-Meta-Evolve for Personalized Information Extraction  (2609.21626 - Li et al., 18 Sep 2026) in Appendix, Section 'Additional Evaluation', paragraph 'One-shot editing and scope of comparison'