研究人员推出了一种新颖的树状提示框架Tree-of-Text，旨在改进体育比赛报道的表格到文本生成。该方法通过三个阶段指导大型语言模型：内容规划、操作执行和内容生成，以解决数据解释和叙事流畅性方面的挑战。实验表明，Tree-of-Text在准确性和效率方面优于现有方法，以显著减少的时间和成本实现了相当或更好的结果。 AI
影响 为从结构化数据生成体育报道提供了一种更高效、更准确的方法，有望改进自动化体育新闻工具。
排序理由 介绍一种用于表格到文本生成新框架的学术论文。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
arXiv:2604.26501v1 Announce Type: new Abstract: Generating sports game reports from structured tables is a complex table-to-text task that demands both precise data interpretation and fluent narrative generation. Traditional model-based approaches require large, annotated dataset…
Generating sports game reports from structured tables is a complex table-to-text task that demands both precise data interpretation and fluent narrative generation. Traditional model-based approaches require large, annotated datasets, while prompt-based methods using large langua…
Generating sports game reports from structured tables is a complex table-to-text task that demands both precise data interpretation and fluent narrative generation. Traditional model-based approaches require large, annotated datasets, while prompt-based methods using large langua…