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The paper introduces ScriptMoE, a script-aware mixture-of-experts architecture for all-in-one multilingual scene text recognition, along with the TextMuSS-10M synthetic dataset, achieving state-of-the-art accuracy on benchmarks.
Introduces CKTN, the first multilingual corpus and benchmark for Cham, Khmer, and Tay-Nung languages, addressing fragmentation in multilingual encoders with a script-aware adaptation recipe.