iPOE: Interpretable Prompt Optimization via Explanations 事件

iPOE: Interpretable Prompt Optimization via Explanations arXiv:2605.18113v2 Announce Type: replace Abstract: Prompt optimization has often been framed as a discrete search problem to find high-performing and robust instructions for an LLM. However, the search result might not make it transparent why and where specific prompt changes lead to performance gains. This is in contrast to how humans are instructed for annotation tasks. Here, researchers carefully design annotation guidelines, leading