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
Parents
50
A large-scale comparison of human-written versus ChatGPT-generated essays
Steffen Herbold, Annette Hautli-Janisz, Ute Heuer et al. · Scientific Reports · 2023 · 310 citations · Full text
Educational Research and AI-Generated Writing: Confronting the Coming Tsunami
Tamara Tate, Shayan Doroudi, Ying Xu et al. · 2023 · 141 citations
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70

Peking University
Beijing, China
3 h-index
8 publications
746 citations
Xi’an Jiaotong-Liverpool University
Suzhou, China
2 h-index
2 publications
378 citations

The University of Melbourne
Melbourne, Australia
2 h-index
2 publications
160 citations
University of Washington
Seattle, United States
2 h-index
1 publications
64 citations
Stanford University
Stanford, United States
2 h-index
2 publications
642 citations
Palo Alto Research Center
Palo Alto, United States
1 h-index
1 publications
40 citations

Aberystwyth University
Aberystwyth, United Kingdom
1 h-index
1 publications
36 citations
Agder Research
Kristiansand, Norway
1 h-index
3 publications
150 citations
1–8 of 70
JSLW · 2 publications · 105 citations
3
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2 publications · 138 citations
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Conference · 2 publications · 130 citations
2
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1 publications · 73 citations
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EMA · 1 publications · 72 citations
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