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

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 3 sources

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

Summary written by gemini-2.5-flash-lite from 3 sources. How we write summaries →

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

RANK_REASON Academic paper introducing a new framework for table-to-text generation.

Read on arXiv cs.CL →

COVERAGE [3]

  1. arXiv cs.CL TIER_1 · 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 · 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 ·

    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…

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