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English(EN) Anticipating Innovation Using Large Language Models

TechToken LLM 通过分析专利语言预测未来创新

研究人员开发了一种名为 TechToken 的新型基于 Transformer 的模型,通过分析专利语言来预测技术创新。该模型将国际专利分类代码视为单词,学习它们之间的关系以预测未来的技术组合。这种方法识别出技术描述方式的集体转变,其信号可以提前几十年被检测到,并且在专利相关任务上优于现有模型。 AI

影响 通过预测新兴技术趋势,该模型可以实现积极的政策制定和投资策略。

排序理由 该集群包含一篇研究论文,详细介绍了一种用于预测创新的新模型和方法。

在 arXiv cs.CL 阅读 →

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

TechToken LLM 通过分析专利语言预测未来创新

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该集群包含一篇研究论文,详细介绍了一种用于预测创新的新模型和方法。
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Enrico Maria Fenoaltea, Filippo Santoro, Giordano De Marzo, Segun Taofeek Aroyehun, Andrea Tacchella ·

    利用大型语言模型预测创新

    arXiv:2605.04875v1 Announce Type: new Abstract: Forecasting innovation, intended as the emergence of new technological combinations, is a fundamental challenge for science and policy. We show that forthcoming combinations leave an early trace in the collective language of patents…

  2. arXiv cs.CL TIER_1 English(EN) · Andrea Tacchella ·

    利用大型语言模型预测创新

    Forecasting innovation, intended as the emergence of new technological combinations, is a fundamental challenge for science and policy. We show that forthcoming combinations leave an early trace in the collective language of patents, with predictive signals detectable even decade…