Transformer models have achieved remarkable success in natural language and vision tasks, but their application to gene expression analysis remains limited due to data sparsity, high dimensionality, ...

Large language models (LLMs) have substantially advanced multilingual translation, yet their computational cost limits deployment in resource-constrained scenarios and latency-critical applications.