Prompt-based Generation
Prompt-Based Generation is a text generation approach that belongs to the broader class of natural language generation methods, differentiated by its reliance on user-provided prompts as the primary conditioning input to guide the generation process of pre-trained language models.
255
Publications
26.5K
Citations
1.1K
Authors
267
Institutions
Publications per year
2017–2026
250
Parents
255
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang et al. · arXiv (Cornell University) · 2022 · 4.3K citations · Full text
Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy et al. · International Journal of Computer Vision · 2022 · 2.7K citations · Full text
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li, Percy Liang · 2021 · 2.2K citations · Full text
Hierarchical Neural Story Generation
Angela Fan, Mike Lewis, Yann Dauphin · 2018 · 1.1K citations · Full text
1–5 of 255
1.1K
5
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 1.1K
267
Tsinghua University
Beijing, China
9 h-index
32 publications
2.3K citations
Stanford University
Stanford, United States
8 h-index
17 publications
5.7K citations
Google (United States)
Mountain View, United States
5 h-index
15 publications
802 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
10 publications
199 citations
University of Washington
Seattle, United States
5 h-index
14 publications
418 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
5 h-index
11 publications
886 citations
Microsoft (United States)
Redmond, United States
5 h-index
30 publications
2.5K citations
University of Michigan
Ann Arbor, United States
5 h-index
12 publications
633 citations
1–8 of 267
Repository · 78 publications · 8.3K citations
29
h-index
Conference · 8 publications · 344 citations
8
h-index
TOSEM · 3 publications · 249 citations
3
h-index
TOG · 3 publications · 509 citations
3
h-index
TACL · 3 publications · 167 citations
3
h-index
1–5