Data Skeptic
arXiv Publication Patterns
Oct 23, 2023
Rajiv Movva, a PhD student in Computer Science at Cornell Tech University, discusses the findings of his research on arXiv publication patterns for LLMs. He shares insights on the increase in LLMs research and proportions of papers published by universities, organizations, and industry leaders. He highlights the focus on the social impact of LLMs and explores exciting applications in education.
28:24
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Quick takeaways
- The analysis of LLM publication patterns reveals a surge in research, with a focus on the social impact of LLMs in fields such as healthcare, law, and education.
- While industry leaders like Google dominate in terms of published papers, a significant portion of LLM research comes from academic institutions, highlighting the importance of collaboration between academia and industry for advancing research and mitigating potential negative implications of competition.
Deep dives
Publication trends and research focus
The podcast episode discusses the growing trend of research publications on large language models (LLMs) and their impact on various fields. The host mentions using the archive.org - ARXIV.org website as a data source for finding guest speakers. The show focuses on analyzing the increasing number of publications related to LLMs and their effects on research. The episode highlights the shift in focus from narrow NLP tasks to broader applications, such as healthcare, law, and education. The data set consists of 17,000 papers from the archive, and the analysis reveals a surge in LLM-related research in recent years.
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