Large language architectures (LLMs) have achieved remarkable success in various natural language processing tasks. Scientific text summarization is a particularly challenging task due to the specialized nature of scientific content. Evaluating LLMs on this specific task requires meticulously constructed benchmarks and evaluation criteria. Several