UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition

Proposes a universal real-world mathematical expression recognition network that achieves high-precision formula parsing and recognition in various complex scenarios. As co-first author, designed the model architecture and ran most of the experiments. Introduced the R-S attention mechanism as a core architectural innovation.