How desirable is alignment between LLMs and linguistically diverse human users?

TL;DR

This paper explores the importance and challenges of aligning Large Language Models with linguistically diverse users, considering factors like age, gender, and multilingual experience, and discusses implications for usability and development.

Contribution

It provides an analysis of user diversity factors affecting LLM alignment and discusses potential impacts on usability and future development strategies.

Findings

Diverse user backgrounds influence language model interactions.

Alignment enhances usability for varied user groups.

Consideration of diversity factors is crucial for LLM development.

Abstract

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.