Rationale Generation
Rationale Generation is the computational process of producing human-interpretable justifications that explain the underlying reasons for a recommendation, distinguished from other recommendation components by its focus on transparency and post-hoc interpretability in user-facing explanations.
104
Publications
4.2K
Citations
321
Authors
132
Institutions
Publications per year
2017–2026
54
Parents
104
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
Ling Wang, Dani Yogatama, Chris Dyer et al. · 2017 · 304 citations · Full text
Automated rationale generation
Upol Ehsan, Pradyumna Tambwekar, Larry Chan et al. · 2019 · 201 citations · Full text
Modeling of software concerns in Cosmos
Stanley M. Sutton, Isabelle Rouvellou · 2002 · 121 citations
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132
Georgia Institute of Technology
Atlanta, United States
4 h-index
11 publications
1.1K citations
Technical University of Munich
Munich, Germany
3 h-index
8 publications
410 citations
SRI International
Menlo Park, United States
3 h-index
7 publications
260 citations
University of Zurich
Zurich, Switzerland
3 h-index
3 publications
145 citations
University of Washington
Seattle, United States
3 h-index
5 publications
82 citations
Miami University
Oxford, United States
3 h-index
9 publications
131 citations
IBM (United States)
Armonk, United States
2 h-index
3 publications
258 citations
University of Southern California
Los Angeles, United States
2 h-index
6 publications
86 citations
1–8 of 132
Repository · 11 publications · 437 citations
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Conference · 3 publications · 75 citations
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Conference · 2 publications · 39 citations
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AIEDAM · 2 publications · 44 citations
2
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Conference · 1 publications · 21 citations
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