METATR: A Multilingual, Evolving Benchmark for Automatic Text Recognition 事件

METATR: A Multilingual, Evolving Benchmark for Automatic Text Recognition arXiv:2605.26712v1 Announce Type: new Abstract: Benchmarks that reflect the diversity and complexity of real-world documents are essential for accurately evaluating Automatic Text Recognition (ATR) systems, especially Vision-Large Language Models (vLLMs). Although recent models demonstrate impressive performance, they are often evaluated on datasets containing modern, printed texts mostly written in English, which limits