The Impact of Large Language Models in Academia: from Writing to Speaking

Autor:	Geng, Mingmeng, Chen, Caixi, Wu, Yanru, Chen, Dongping, Wan, Yao, Zhou, Pan
Rok vydání:	2024
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence Computer Science - Computers and Society Computer Science - Digital Libraries Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: 23 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2409.13686 Zobrazit plný text záznamu View this record from Arxiv