Question Decomposition

Question Decomposition is a methodological framework in the field of question answering that systematically breaks down complex questions into hierarchically organized, semantically coherent sub-questions to facilitate accurate reasoning and answer generation.

48

Publications

3.1K

Citations

137

Authors

49

Institutions

Publications per year

2017–2026

29

Authors

137

  1. JB
    Jonathan Berant

    Tel Aviv University, Israel

    5 publications · 399 citations

    5

    h-index

  2. KR
    Kirk Roberts

    The University of Texas Health Science Center at Houston, United States

    3 publications · 71 citations

    3

    h-index

  3. JA
    Jacob Andreas

    University of California, Berkeley, United States

    3 publications · 761 citations

    3

    h-index

  4. MG
    Matt Gardner

    Allen Institute for Artificial Intelligence, United States

    3 publications · 164 citations

    3

    h-index

  5. TD
    Trevor Darrell

    University of California, Berkeley, United States

    3 publications · 761 citations

    3

    h-index

1–5 of 137

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 357 citations

    6

    h-index

  2. 3

    h-index

  3. Journal of Marketing Research

    2 publications · 109 citations

    2

    h-index

  4. Language Resources and Evaluation

    1 publications · 20 citations

    1

    h-index

  5. 1

    h-index

1–5