revision

This paper introduces the Human–LLM Reflection Framework (HRF) to compare human and LLM revision behavior, finding that LLM reflection often yields zero or negative information gain and behaves more like conditioned re-generation than genuine error-driven revision.

一项分析认为，AI演示工具应侧重于生成后的可控性，以实现精确的局部编辑，而不仅仅是提高初稿质量。