The Call for Socially Aware Language Technologies

arXiv:2405.02411v1 Announce Type: new
Abstract: Language technologies have made enormous progress, especially with the introduction of large language models (LLMs). On traditional tasks such as machine translation and sentiment analysis, these models perform at near-human level. These advances can, however, exacerbate a variety of issues that models have traditionally struggled with, such as bias, evaluation, and risks. In this position paper, we argue that many of these issues share a common core: a lack of awareness of the factors, context, …

abstract advances analysis arxiv call cs.cl however human introduction language language models large language large language models llms machine machine translation near progress sentiment sentiment analysis tasks technologies translation type