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English(EN) Stable Menus of Public Goods: AI-Enabled Progress

AI研究工作流经测试:LLM略逊于博士生

一篇新研究论文探讨了经济学计算机科学中AI辅助工作流的有效性。该研究调查了在提示中提供人类直觉和采用多轮交互是否能增强LLM的性能。研究结果表明,人类直觉可以改善LLM的“品味”,并且雄心勃勃的多轮工作流是有益的。然而,与一名一年级博士生在未发表手稿上的产出相比,LLM的效率略显不足。 AI

影响 这项研究为优化学术任务的AI辅助工作流提供了见解,并暗示了在研究环境中整合LLM的潜在改进。

排序理由 该集群包含一篇在arXiv上发表的学术论文,详细介绍了研究结果。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI研究工作流经测试:LLM略逊于博士生

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该集群包含一篇在arXiv上发表的学术论文,详细介绍了研究结果。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Sara Fish ·

    公共物品的稳定菜单:AI赋能的进步

    arXiv:2606.16989v1 Announce Type: cross Abstract: Using an open problem from the EC 2025 paper "Stable Menus of Public Goods" as a testbed, we conduct experiments to understand the effectiveness of different AI-for-EconCS research workflows. Specifically, we study three questions…

  2. arXiv cs.AI TIER_1 English(EN) · Sara Fish ·

    公共物品的稳定菜单:AI赋能的进步

    Using an open problem from the EC 2025 paper "Stable Menus of Public Goods" as a testbed, we conduct experiments to understand the effectiveness of different AI-for-EconCS research workflows. Specifically, we study three questions: Does providing human intuition in the prompt hel…