Language Model Prompt Selection via Simulation Optimization

arXiv:2404.08164v1 Announce Type: cross
Abstract: With the advancement in generative language models, the selection of prompts has gained significant attention in recent years. A prompt is an instruction or description provided by the user, serving as a guide for the generative language model in content generation. Despite existing methods for prompt selection that are based on human labor, we consider facilitating this selection through simulation optimization, aiming to maximize a pre-defined score for the selected prompt. Specifically, we propose a …

abstract advancement arxiv attention content generation cs.ai cs.cl cs.lg generative guide language language model language models optimization prompt prompts simulation stat.ml type via