Concepedia

Large Language Models

Large Language Models is a machine learning model that distinguishes itself by leveraging vast-scale text corpora and deep neural architectures to achieve broad linguistic competence through the prediction of sequentially ordered tokens.

7.9K

Publications

533.5K

Citations

24K

Authors

3.2K

Institutions

Publications per year

2017–2026

7.7K

Parents

Publications

7.9K

Efficient Estimation of Word Representations in Vector Space

Tomáš Mikolov, Kai Chen, Greg S. Corrado · arXiv (Cornell University) · 2013 · 18.1K citations · Full text

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Efficient Estimation of Word Representations in Vector Space

Tomáš Mikolov, Kai Chen, Greg S. Corrado et al. · arXiv (Cornell University) · 2013 · 11.7K citations · Full text

, , +16

The Stanford CoreNLP Natural Language Processing Toolkit

Christopher D. Manning, Mihai Surdeanu, John Bauer et al. · 2014 · 7.2K citations · Full text

, , +13

On the Dangers of Stochastic Parrots

Emily M. Bender, Timnit Gebru, Angelina McMillan-Major et al. · 2021 · 5.6K citations · Full text

, , +12

ChatGPT for good? On opportunities and challenges of large language models for education

Enkelejda Kasneci, Stefan Küchemann, Maria Bannert et al. · Learning and Individual Differences · 2023 · 5.1K citations · Full text

, , +16

1–5 of 7.9K

Authors

24K

  1. JG
    Jianfeng Gao

    Microsoft (United States), United States

    33 publications · 4.8K citations

    25

    h-index

  2. TL
    Tianming Liu

    University of Georgia, United States

    29 publications · 1.9K citations

    20

    h-index

  3. DZ
    Denny Zhou

    Google (United States), United States

    22 publications · 4.9K citations

    20

    h-index

  4. DY
    Diyi Yang

    Georgia Institute of Technology, United States

    19 publications · 1.9K citations

    19

    h-index

  5. JZ
    James Zou

    Stanford University, United States

    20 publications · 2.3K citations

    19

    h-index

1–5 of 24K

Institutions

3.2K

  1. Stanford University

    Stanford, United States

    63 h-index

    508 publications

    95.5K citations

  2. Google (United States)

    Mountain View, United States

    62 h-index

    634 publications

    247.1K citations

  3. Harvard University

    Cambridge, United States

    48 h-index

    239 publications

    15.9K citations

  4. Tsinghua University

    Beijing, China

    48 h-index

    459 publications

    56.2K citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    47 h-index

    237 publications

    33.6K citations

  6. University of Washington

    Seattle, United States

    45 h-index

    203 publications

    28.3K citations

  7. University of Oxford

    Oxford, United Kingdom

    43 h-index

    140 publications

    11.6K citations

  8. New York University

    New York, United States

    42 h-index

    233 publications

    30.6K citations

1–8 of 3.2K

Venues

  1. arXiv (Cornell University)

    Repository · 1.5K publications · 139.9K citations

    131

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 71 publications · 4.8K citations

    38

    h-index

  3. SSRN Electronic Journal

    Repository · 104 publications · 5.3K citations

    37

    h-index

  4. npj Digital Medicine

    30 publications · 5.5K citations

    32

    h-index

  5. Journal of Medical Internet Research

    38 publications · 3.3K citations

    31

    h-index

1–5