Multiple-choice Question Answering
Multiple-Choice Question Answering is a question answering paradigm in which a system selects the correct answer from a set of predefined options, distinguished by its reliance on candidate answer choices rather than generating or retrieving open-ended responses.
297
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13.6K
Citations
961
Authors
392
Institutions
Publications per year
2017–2026
124
Parents
297
Flamingo: a Visual Language Model for Few-Shot Learning
arXiv (Cornell University) · 2022 · 1.2K citations · Full text
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University of Toronto
Toronto, Canada
6 h-index
11 publications
557 citations
Maastricht University
Maastricht, The Netherlands
5 h-index
7 publications
497 citations
Allen Institute for Artificial Intelligence
Seattle, United States
4 h-index
17 publications
1.7K citations

The University of Adelaide
Adelaide, Australia
4 h-index
12 publications
353 citations

The University of Sydney
Sydney, Australia
4 h-index
4 publications
148 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
4 publications
159 citations
University of Newcastle Australia
Newcastle, Australia
3 h-index
6 publications
113 citations
Stanford University
Stanford, United States
3 h-index
5 publications
142 citations
1–8 of 392
Repository · 14 publications · 1.7K citations
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10 publications · 531 citations
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Conference · 9 publications · 924 citations
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8 publications · 376 citations
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Repository · 6 publications · 123 citations
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