How desirable is alignment between LLMs and linguistically diverse human users?
It addresses the problem of LLM adaptability for diverse human users, but is incremental as it primarily discusses concepts without new empirical results.
The paper examines the desirability of aligning LLMs with linguistically diverse users, considering factors like age, gender, and multilingualism, and explores potential impacts on usability, communication, and development.
We discuss how desirable it is that Large Language Models (LLMs) be able to adapt or align their language behavior with users who may be diverse in their language use. User diversity may come about among others due to i) age differences; ii) gender characteristics, and/or iii) multilingual experience, and associated differences in language processing and use. We consider potential consequences for usability, communication, and LLM development.