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

ArXi:2604.26501v1 Announce Type: cross 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 language models (LLMs) often struggle with hallucination due to weak table comprehension.