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

Publications

13.6K

Citations

961

Authors

392

Institutions

Publications per year

2017–2026

124

Authors

961

  1. RL
    Raymond Lister

    University of Technology Sydney, Australia

    4 publications · 171 citations

    4

    h-index

  2. SZ
    Shuailiang Zhang

    Shanghai Jiao Tong University, China

    3 publications · 166 citations

    3

    h-index

  3. AS
    Ashish Sabharwal

    Allen Institute, United States

    3 publications · 648 citations

    3

    h-index

  4. ZZ
    Zhuosheng Zhang

    Shanghai Jiao Tong University, China

    3 publications · 166 citations

    3

    h-index

  5. TK
    Tushar Khot

    Allen Institute, United States

    3 publications · 648 citations

    3

    h-index

1–5 of 961

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 1.7K citations

    13

    h-index

  2. Medical Education

    10 publications · 531 citations

    10

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 9 publications · 924 citations

    9

    h-index

  4. BMC Medical Education

    8 publications · 376 citations

    8

    h-index

  5. PubMed

    Repository · 6 publications · 123 citations

    6

    h-index

1–5