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.
@article{arxiv.2502.12884,
title = {How desirable is alignment between LLMs and linguistically diverse human users?},
author = {Pia Knoeferle and Sebastian Möller and Dorothea Kolossa and Veronika Solopova and Georg Rehm},
journal= {arXiv preprint arXiv:2502.12884},
year = {2025}
}