Summary of The Impact Of Large Language Models in Academia: From Writing to Speaking, by Mingmeng Geng et al.
The Impact of Large Language Models in Academia: from Writing to Speaking
by Mingmeng Geng, Caixi Chen, Yanru Wu, Dongping Chen, Yao Wan, Pan Zhou
First submitted to arxiv on: 20 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Digital Libraries (cs.DL); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A comprehensive study analyzing over 30,000 papers and 1,000 presentations from machine learning conferences reveals that Large Language Models (LLMs) are significantly impacting both written and spoken communication. The research compares the linguistic patterns used in abstracts and oral presentations, uncovering a notable increase in LLM-style words like “significant” across both mediums. This trend suggests an emerging influence of LLMs on human society, particularly in verbal expression. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language Models are changing how people communicate. Scientists looked at over 30,000 papers and 1,000 presentations from machine learning conferences to see how this is happening. They found that words used in written abstracts and spoken presentations are becoming more like the ones used by big language models. This means that these models are having a bigger impact on how we talk and write. The study shows that LLMs are influencing human society, especially when it comes to expressing ourselves verbally. |
Keywords
* Artificial intelligence * Machine learning
