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TEAR: Table Extraction with Attribute Recommendation from Texts via Large Language Models

arXiv · AI, language, vision and robotics · article · Sep 14, 2026 · UTC

Table extraction from texts is an important task for information systems, and recent approaches that prompt large language models (LLMs) with instructions have drawn great attention for their strong performance. Existing works have assumed the input texts to be table descriptions or specialized documents. However, these efforts have largely overlooked another prevalent category of texts, commonly found in news reports and social media: naturally occurring texts. Extracting tabular information from such texts poses two distinct challenges. First, high variability and the absence of explicit str

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