Performance Analysis on the Applications of Large Language Models: A Case for Elderly Care

The rapid development of large language models (LLMs) has prompted researchers to explore the potential applications, especially for human interaction scenarios.Among these, facilitating meaningful and efficient communication stands out as a critical area, which is especially relevant in elder care. Meanwhile The increasing ratio of elder population highlights the urgent need for personalized care for elders. In this paper, we propose a multi-LLM approach to combine the strengths of multiple LLMs, where LLMs generate complementary answers to the same question, and the final answer is selected based on the combined relevance scores. To assist the answer selection, we provide a comprehensive evaluation of the current state-of-the-art LLMs on elderly care, incorporating real-world feedback from 30 elderly participants on various types of questions. We summarize LLMs’ strengths and weaknesses facing distinct elderly care scenarios, and highlight potential challenges and opportunities for future research.