The Impact of Large Language Models in Academia: from Writing to Speaking
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866913558961324032 |
|---|---|
| author | Geng, Mingmeng Chen, Caixi Wu, Yanru Chen, Dongping Wan, Yao Zhou, Pan |
| author_facet | Geng, Mingmeng Chen, Caixi Wu, Yanru Chen, Dongping Wan, Yao Zhou, Pan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_13686 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Impact of Large Language Models in Academia: from Writing to Speaking Geng, Mingmeng Chen, Caixi Wu, Yanru Chen, Dongping Wan, Yao Zhou, Pan Computation and Language Artificial Intelligence Computers and Society Digital Libraries Machine Learning 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. |
| title | The Impact of Large Language Models in Academia: from Writing to Speaking |
| topic | Computation and Language Artificial Intelligence Computers and Society Digital Libraries Machine Learning |
| url | https://arxiv.org/abs/2409.13686 |