Program-to-text Generation
Program-to-Text Generation is a natural language generation task that involves automatically generating human-readable textual descriptions from source code or executable programs, distinguishing it from other code-related generation tasks by focusing on natural language explanations of program functionality rather than code synthesis or translation.
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10.3K
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438
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123
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2017–2026
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Unified Pre-training for Program Understanding and Generation
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray et al. · 2021 · 581 citations · Full text
Towards automatically generating summary comments for Java methods
Giriprasad Sridhara, Emily Hill, Divya Muppaneni et al. · 2010 · 517 citations
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Columbia University
New York, United States
5 h-index
10 publications
2.3K citations

Peking University
Beijing, China
5 h-index
9 publications
2.2K citations
Microsoft (United States)
Redmond, United States
5 h-index
8 publications
1.6K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
32 publications
2K citations
University of California, Berkeley
Berkeley, United States
4 h-index
9 publications
196 citations
University of Delaware
Newark, United States
4 h-index
15 publications
3.5K citations

University of Toronto
Toronto, Canada
3 h-index
6 publications
1.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
5 publications
201 citations
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Repository · 26 publications · 1.5K citations
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JSS · 3 publications · 88 citations
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TOSEM · 3 publications · 154 citations
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Conference · 2 publications · 67 citations
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Conference · 2 publications · 26 citations
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