Resumen: Construction of a general-purpose post-recognition error corrector poses a crucial question: how can we most effectively train a model on a large mixture of domain datasets? The answer would lie in learning dataset-specific features and digesting their knowledge in a single model.
https://scisimple.com/es/articles/2025-05-22-neko-el-futuro-de-la-correccion-de-errores–a3q0ogj