rmovva/LLM-publication-patterns-public
[NAACL 2024] Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers https://arxiv.org/abs/2307.10700
This project helps researchers, academics, or industry analysts understand the evolving landscape of Large Language Model (LLM) research. It takes a collection of arXiv papers related to LLMs and provides detailed annotations, including topic clusters, author affiliations (academic/industry), and citation metrics. The output offers insights into publication trends, key research areas, and the influence of different institutions over time, helping you analyze the trajectory of LLM development.
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Use this if you need to analyze broad trends, popular topics, and institutional contributions within the vast body of LLM research papers from arXiv.
Not ideal if you're looking for an interactive tool to explore individual papers or a real-time feed of the latest LLM research.
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MIT
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Jan 27, 2024
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