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Tree-of-Text framework enhances LLM sports report generation from tables

Researchers have introduced Tree-of-Text, a novel tree-structured prompting framework designed to improve table-to-text generation for sports game reports. This method addresses challenges in data interpretation and narrative fluency by guiding large language models through a three-stage process: content planning, operation execution, and content generation. Experiments indicate that Tree-of-Text surpasses existing approaches in accuracy and efficiency, achieving comparable or better results with significantly reduced time and cost. AI

影响 Offers a more efficient and accurate method for generating sports reports from structured data, potentially improving automated sports journalism tools.

排序理由 Academic paper introducing a new framework for table-to-text generation.

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

Tree-of-Text framework enhances LLM sports report generation from tables

报道来源 [3]

  1. arXiv cs.CL TIER_1 English(EN) · Shang-Hsuan Chiang, Tsan-Tsung Yang, An-Zi Yen, Wen-Chih Peng ·

    Tree-of-Text: A Tree-based Prompting Framework for Table-to-Text Generation in the Sports Domain

    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…

  2. arXiv cs.CL TIER_1 English(EN) · Wen-Chih Peng ·

    Tree-of-Text: A Tree-based Prompting Framework for Table-to-Text Generation in the Sports Domain

    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…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Tree-of-Text: A Tree-based Prompting Framework for Table-to-Text Generation in the Sports Domain

    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…