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NLP Meets the World: Toward Improving Conversations With the Public About Natural Language Processing Research
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本文分享关于如何向大众传达大型语言模型(LLMs)的能力与局限的建议,涵盖模糊术语、不合理期望和伦理问题,旨在促进NLP的透明沟通与公众理解。

arXiv:2507.10559v1 Announce Type: cross Abstract: Recent developments in large language models (LLMs) have been accompanied by rapidly growing public interest in natural language processing (NLP). This attention is reflected by major news venues, which sometimes invite NLP researchers to share their knowledge and views with a wide audience. Recognizing the opportunities of the present, for both the research field and for individual researchers, this paper shares recommendations for communicating with a general audience about LLMs' capabilities and limitations. These recommendations cover three themes: vague terminology as an obstacle to public understanding, unreasonable expectations as obstacles to sustainable growth, and ethical failures as obstacles to continued support. Published NLP research and popular news coverage are cited to illustrate these themes with examples. The recommendations promote effective, transparent communication with the general public about NLP, in order to strengthen public understanding and encourage support for research.

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大型语言模型 自然语言处理 公众沟通
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