Cross-prompt Scoring

Cross-Prompt Scoring is a computational scoring method in automated essay scoring systems that generalizes performance across different writing prompts by leveraging shared linguistic and rhetorical features to assign scores without prompt-specific retraining.

10

Publications

345

Citations

28

Authors

10

Institutions

Publications per year

2017–2026

8

Authors

28

  1. LH
    Liang He

    Microsoft Research Asia (China), China

    2 publications · 80 citations

    2

    h-index

  2. XD
    Xinyu Dai

    Nanjing University, China

    2 publications · 80 citations

    2

    h-index

  3. RR
    Robert Ridley

    Nanjing University, China

    2 publications · 80 citations

    2

    h-index

  4. SH
    Shujian Huang

    Nanjing University, China

    2 publications · 80 citations

    2

    h-index

  5. LL
    Lizhen Liu

    Capital Normal University, China

    1 publications · 29 citations

    1

    h-index

1–5 of 28

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 60 citations

    2

    h-index

  2. ETS Research Report Series

    1 publications · 45 citations

    1

    h-index

  3. Open Access Journals at BC (Boston College)

    Repository · 1 publications · 58 citations

    1

    h-index

  4. Knowledge-Based Systems

    1 publications · 49 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 20 citations

    1

    h-index

1–5