Large language models (LLMs) are increasingly impacting human society, particularly in textual information. Based on more than 30,000 papers and 1,000 presentations from machine learning conferences, we examined and compared the words used in writing and speaking, representing the first large-scale study of how LLMs influence the two main modes of verbal communication and expression within the same group of people. Our empirical results show that LLM-style words such as "significant" have been used more frequently in abstracts and oral presentations. The impact on speaking is beginning to emerge and is likely to grow in the future, calling attention to the implicit influence and ripple effect of LLMs on human society.

翻译：大型语言模型（LLMs）正日益影响人类社会，尤其在文本信息领域。基于机器学习会议中超过30,000篇论文和1,000场报告，我们考察并比较了写作与演讲中使用的词汇，首次对LLMs如何影响同一人群内两种主要言语沟通与表达模式进行了大规模研究。我们的实证结果表明，诸如"significant"等具有LLM风格的词汇在摘要和口头报告中出现频率显著上升。LLMs对演讲的影响已开始显现，并可能在未来持续增强，这提示我们关注LLMs对人类社会的隐性影响及其涟漪效应。