English(EN) Budgeted Prompt-Set Expansion and Refinement for Language Models via Simulation Optimization

新框架通过模拟优化语言模型提示

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-27 04:00

研究人员开发了一个新颖的框架，用于优化指导语言模型的提示。这种两阶段方法首先将初始提示集扩展为向量表示的候选集。在第二阶段，它构建一个代理模型来预测提示分数，从而在有限的计算预算下高效选择要评估的提示。该方法旨在在固定语言模型的情况下最大化任务分数，尤其是在提示评估资源受限时，其表现优于基线提示选择技术。 AI

影响这项研究通过降低提示工程的计算成本，可能导致更高效的语言模型开发和部署。

排序理由该集群包含一篇学术论文，详细介绍了一种新的提示优化方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

Haoting Zhang

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

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报道来源 [1]

arXiv stat.ML TIER_1 English(EN) · Haoting Zhang, Jinghai He, Rhonda Righter, Zeyu Zheng · 2026-10-27 04:00

通过仿真优化对语言模型进行预算提示集扩展和精炼

arXiv:2404.08164v3 Announce Type: replace Abstract: A prompt is an instruction or description provided by the user to guide a generative language model toward outputs that meet application requirements. When these requirements change, existing prompts may need to be adapted and i…

本文如何被排名

报道来源 [1]

通过仿真优化对语言模型进行预算提示集扩展和精炼

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