AI RESEARCH
TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition
arXiv CS.CV
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ArXi:2512.01248v2 Announce Type: replace Table recognition (TR) aims to transform table images into semi-structured representations such as HTML or Markdown. As a core component of document parsing, TR has long relied on supervised learning, with recent efforts dominated by fine-tuning vision-language models (VLMs) using labeled data. While VLMs have brought TR to the next level, pushing performance further demands large-scale labeled data that is costly to obtain. Consequently, although.