Researchers are developing models to improve mRNA sequence design, with some using universal language models and comprehensive datasets, while others are exploring alternative approaches such as adaptive tokenization or dual level masking. These models, including mRNABERT, BiRNA-BERT, and StructmRNA, aim to advance the field of mRNA sequence design. The specific details and methodologies of these models are being reported in scientific publications.