研究发现大模型让学术写作和演讲更爱用'显著'等术语，影响表达方式。
The Impact of Large Language Models in Academia: from Writing to Speaking
- 对比3万篇论文与1000场报告，分析文字与口语中用词差异
- 大模型风格词汇如'显著'在摘要和演讲中使用频率明显上升
- 揭示大模型对学术交流的隐性影响，适合关注AI社会效应者阅读
基于超过3万篇机器学习会议论文和1000场报告，我们首次大规模研究了大语言模型（LLMs）对同一群体中书面写作与口头表达两种主要沟通形式的影响。实证结果表明，'significant'等大模型风格词汇在摘要和口头报告中的使用频率显著增加。该影响在口语中已初现端倪，未来可能持续扩大，凸显大模型对人类社会表达方式的隐性渗透与涟漪效应。
原文摘要 · Abstract (English)
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.
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