Generative Writing Systems

Generative Writing Systems is a computational framework that autonomously produces coherent written content by leveraging algorithmic models trained on linguistic data to simulate human-like text generation within constrained or guided parameters.

50

Publications

3.4K

Citations

141

Authors

70

Institutions

Publications per year

2017–2026

39

Authors

141

  1. JX
    Jianguo Xiao

    Peking University, China

    2 publications · 183 citations

    2

    h-index

  2. ZL
    Zhouhui Lian

    Peking University, China

    2 publications · 183 citations

    2

    h-index

  3. MR
    Melissa Roemmele

    University of Southern California, United States

    1 publications · 58 citations

    1

    h-index

  4. SB
    Sarah Bankins

    Macquarie University, Australia

    1 publications · 37 citations

    1

    h-index

  5. CH
    Chian-Ya Hong

    Tunghai University, Taiwan

    1 publications · 30 citations

    1

    h-index

1–5 of 141

Venues

  1. Journal of Second Language Writing

    JSLW · 2 publications · 105 citations

    3

    h-index

  2. 2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 130 citations

    2

    h-index

  4. Journal of Chemical Education

    1 publications · 73 citations

    1

    h-index

  5. Emergency Medicine Australasia

    EMA · 1 publications · 72 citations

    1

    h-index

1–5