Chinese Pre Trained Model

Chinese pre-trained language models are rapidly advancing, aiming to improve natural language processing capabilities for the Chinese language. Research focuses on developing smaller, faster models while maintaining high accuracy, incorporating word-level semantics to enhance character-based representations, and addressing challenges like handling word insertion and deletion errors. These advancements are crucial for expanding access to powerful NLP tools and fostering progress in various applications, including machine reading comprehension, text classification, and cross-modal tasks involving image and text.