NLP走向世界：致力于改善关于自然语言处理研究的公众对话
NLP Meets the World: Toward Improving Conversations With the Public About Natural Language Processing Research
AI总结：
本文针对大型语言模型引发的公众对NLP的关注，提出了向大众有效传达NLP能力与局限性的沟通建议，涵盖术语模糊、期望不合理和伦理失败三大障碍，以促进透明沟通并加强公众理解与研究支持。
摘要：
大型语言模型（LLMs）的最新发展伴随着公众对自然语言处理（NLP）兴趣的迅速增长。这种关注反映在主要新闻媒体上，它们有时会邀请NLP研究人员与广大受众分享他们的知识和观点。认识到当前对研究领域和个体研究人员带来的机遇，本文分享了关于向普通受众传达NLP能力和局限性的建议。这些建议涵盖三个主题：模糊的术语是公众理解的障碍，不合理的期望是可持续增长的障碍，以及伦理失败是持续支持的障碍。本文引用了已发表的NLP研究和大众新闻报道，以举例说明这些主题。这些建议促进与公众就NLP进行有效、透明的沟通，以加强公众理解并鼓励对研究的支持。
英文摘要：
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 the capabilities and limitations of NLP. 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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
