Complex Mathematical Expression Recognition: Benchmark, Large-Scale Dataset and Strong Baseline

This article likely presents a new benchmark, a large-scale dataset, and a strong baseline model for the task of recognizing complex mathematical expressions. This is a significant contribution to the field of AI, particularly in areas like scientific computing and education, where accurate interpretation of mathematical notation is crucial. The focus on a strong baseline suggests an effort to establish a high standard for future research.

• •Introduction of a new benchmark for mathematical expression recognition.
• •Release of a large-scale dataset for training and evaluation.
• •Development of a strong baseline model to set a high standard for future research.